Analytics Architect Resume Samples

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CS
C Senger
Clemmie
Senger
1344 Bryon Port
Los Angeles
CA
+1 (555) 872 5664
1344 Bryon Port
Los Angeles
CA
Phone
p +1 (555) 872 5664
Experience Experience
San Francisco, CA
Analytics Architect
San Francisco, CA
Wuckert-Dare
San Francisco, CA
Analytics Architect
  • Leading POCs to create break through solutions, performing exploratory and targeted data analyses to drive iterative learnings
  • Determining business process design and re-engineering impacts
  • Determining solution approaches, including creative data acquisition strategies
  • Assess the tracking health of CMG’s products by auditing them based on the implementation standards.
  • Working with varied stakeholder groups to ensure alignment around objectives, priorities, resourcing, schedules, and ownership
  • Accelerate the speed at which data can be acquired and organized for the purpose of delivering analytical solutions
  • Responsible for final approval of the implementation of analytics tracking via tag management or by vendors
Houston, TX
Client Analytics Architect
Houston, TX
Rohan LLC
Houston, TX
Client Analytics Architect
  • Works with the business to identify and recommend process improvements in conjunction with or in lieu of technical solutions
  • Oversees and provides a level of quality assurance on project implementations
  • Leads and manages a team of Business Data Analysts
  • Manages tradeoffs between scope, quality, time and cost
  • Creates and owns the USAS long-term technology roadmap
  • Defines project objectives and success criteria (along with key business stakeholders)
  • Be a USAS SME (Subject Matter Expert) regarding emerging technology in the space of USAS by attending trade shows and performing independent research on emerging technologies and companies
present
Philadelphia, PA
Big Data / Business Analytics Architect
Philadelphia, PA
Considine-Leannon
present
Philadelphia, PA
Big Data / Business Analytics Architect
present
  • Work closely with the account team and line management to exploit opportunities for cross and up selling
  • Participate actively in the internal community and manage the re-use and knowledge management of their competency area
  • Form and maintain strong relationships with colleagues in product development
  • Continuously develop and maintain their knowledge of relevant Oracle products and services within the rapidly evolving Fusion Middleware technology stack
  • Empower and leverages each individual’s unique talents
  • Advocate for key change initiatives
  • Gain broad support and buy-in for initiatives from key stakeholders
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Virginia Commonwealth University
Bachelor’s Degree in Computer Science
Skills Skills
  • Excellent verbal and written communication skills, with a strong command of the german and english language
  • Knowledge about Cloud and Hosting delivery models and respective system operations & infrastructure management processes
  • Quality Assurance to effectively support proper testing
  • Strong interpersonal, verbal, presentation and writing skills
  • Excellent understanding of Analytics architecture and technology concepts
  • Experience in defining data models from a business perspective (ERM models, logical model architecture)
  • Enterprise Architecture to understand, define and apply enterprise level standards and influence business strategy
  • Information Security to ensure compliance with secure development standards and negotiate security trade-offs
  • Experience in HANA modeling and reporting as well as with with modern frontend tools like BusinessObjects Cloud or similar tools
  • Project Management to coordinate solutions from technical perspective and minimize technical risk
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15 Analytics Architect resume templates

1

Analytics Architect Resume Examples & Samples

  • Application Engineering Leads, Technical Leads and staff to drive strategic goals/objectives
  • Defining the overall analytics architecture (patterns, methods, blueprints, etc.)
  • Evaluating and recommending specific analytics technologies
  • Bachelor's Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline)
  • Extensive, real-world experience designing enterprise software and defining solution architectures and technology (UML, design patterns, SOA, EAI, BPI, etc. )
  • 8 years’ experience and demonstrated skills in the Microsoft SQL Server 2008/2012 suite including
2

Sap Analytics Architect Resume Examples & Samples

  • Managing problems related to services where the architect acts as the problem coordinator, performing root cause analysis, proposing and implementing structural solutions, testing, and tracking the resolution for problems
  • Collaborate with other team members on the development of SAP roadmap, including defining and managing adherence to architectural principles, standards, policies and solution governance
  • Serve as the key application subject matter expert and drive the implementation of the best practices and standards for the team, defining the application scope and objectives and providing thought leadership, solution architecture, and design for the application solution
  • Work across architecture domains to identify and resolve issues and manage interdependencies between all integration points
  • Perform routine program modifications, performance tuning and optimization, problem solving, debugging, and unit and integration testing
  • Gather reporting requirements with the user community, create functional and technical specifications and propose solutions that meet the requirements
  • Prepare appropriate training documentation and ensure that new functionality is properly transitioned to reporting users
  • Migrate integrations across development, test and production environments
  • Work with business partners and internal staff on resolving platform production defects and performance issues
  • Provide oversight and subject matter expertise to project team members and manage enhancement activities
  • At least 10 years experience in Experience architecting, developing and implementing in SAP Analytical tools
3

Decision Analytics Architect Resume Examples & Samples

  • Defining detailed analytic scope and methodology, and creating analytic plan
  • Executing on the analytic plan with appropriate data mining and analytic techniques
  • Performing QA on data and deliverables by analysts and own deliverables
  • Ensuring project delivery within timelines and budget requirements
  • Building on team’s analytical skills and business knowledge
  • Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field
4

Enterprise Analytics Architect Resume Examples & Samples

  • At least 10 years of progressively responsible job-related experience, with minimum of 4 years related to MDM design and/or implementation activities
  • Demonstrated experience in design and implementation of an Teradata, Bigdata, and other similar data stores
  • Expert knowledge of analytical tools, preferably SAS, Business Objects, Taleo, R and other emerging toolsets
  • Good knowledge of Analytics related ingestion and consumption services, preferably Flume, Denodo etc
  • Fundamentals of software development and application architecture
  • Experience in Cloudera BigData Distribution, Teradata Logical Data Model, SAP BW
  • Certification in TOGAF or similar EA Framework
5

Senior Decision Analytics Architect Resume Examples & Samples

  • Directing the execution of multiple medium to large analytic projects along with rest of the stakeholders in the Visa analytics team
  • Collaborating with the Client Solution Design and Analytics Business Partner leads to fully understand business requirements and desired business outcomes
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Managing team workload, providing prioritization guidance for the project flow conducted by the team to improve process efficiency
  • Providing subject matter expertise and quality assurance of complex data driven analytic projects
6

Decision Analytics Architect Resume Examples & Samples

  • Identify areas of data/pattern analysis within the Technology processes to deliver insights that drive improvements in process, tools and quality of adoption
  • Suggest comprehensive metrics that can be actionable and promote positive behaviors; Baseline, improve and re-measure success
  • Implement big data collection and reporting roles and responsibilities, processes, and tools, listing data source/reporting sources throughout Visa and ensure consistent definitions and nomenclature
  • Provide consulting services to identify and implement a best practice set of data collection, analysis and reporting that deliver insights to stakeholders
  • Periodically conduct reporting reviews with management to identify improvements over the quality and use of analysis provided
  • Manage relationships with other process management teams to provide a consistent delivery framework
  • Work independently to research subject matter. Interact with IT development, operations, IT quality and product management groups to obtain and exchange information
  • Create and maintain project schedule(s)
  • Represent the team in planning and review meetings with IT project cross-functional stakeholders
  • Communicate status of project to team members, clients and departmental management
  • Proactively escalate problems and issues
  • Multi-task and prioritize a moderate amount of concurrent assignments
  • Adhere to department procedures as directed by the department procedures guide
  • Enhance knowledge of the field through participation in professional organizations and self-study
  • Bachelor degree in Engineering/Mathematics related to Data/Pattern Analysis
  • 2+ years’ experience in IT Operations in a technical SME role
  • 3+ years’ experience in big data analysis initiatives
  • ITIL Foundation Certified
  • Lean or Green Belt Six Sigma certified. Black Belt certification is a bonus
  • Proficient in the use of big data storage and analysis tools such as SAS, Hadoop, Splunk, and programing languages such as R, advanced SQL programming knowledge and visualization tools
  • Proven presentation and communications skills across multiple levels of the organization, including senior management. Must be able to articulate messages across a variety of audiences
  • Self-driven and ability to work independently
  • Have great degree of technical understanding and literacy
  • Flexible working hours to accommodate diverse geographic locations
  • Strong customer service, analytical, research, interpersonal and problem solving skills required
  • Strong relationship management skills which includes relationships with not only peers but with direct reports and senior level VP’s and C level management
  • Experience working with multicultural teams in diverse geographic locations preferred
  • Working knowledge of MS-Office products for Windows including Word, Visio and SharePoint
  • Analysis samples and prior improvement project examples are required
7

Decision Analytics Architect Resume Examples & Samples

  • Help the CS team in framing the solution methodologies for business problems related to MS&S
  • QC results from Analytics Delivery team for sanity checks
  • Support executing on data analysis projects based on project timelines and deliverables
  • Interpreting summarized numbers to present business cases and storylines for the analysis
  • Creating presentations based on data analysis
  • Working with the CS team to develop new POC projects by supporting data extraction, summarization and analysis
  • Develop and produce framework from a variety of sources based on business requirements
  • Work with Analytics Business Partners and CS team members to understand business needs and translate them into project requirements
  • Work with the Analytics Delivery team to execute high quality analyses that synthesize data analysis and research into key fact-based findings and actionable recommendations
  • Work on multiple projects concurrently; actively execute on project deliverables and timelines to provide meaningful insights to business and clients
  • Ensure deliverables and outputs exceed expectations and are highly-valued by clients and internal partners
  • Execute as per project plan; help in achieving execution efficiencies in project execution; understand and clarify business objectives and requirements
8

Decision Analytics Architect Resume Examples & Samples

  • 3-5 years overall work experience - MS in Statistics, Mathematics, or other related field
  • 3 years of experience with developing predictive statistical models
  • 3 years Hands-on experience with SAS required - Proficient with UNIX based systems - 2 years of experience with other modeling/statistics languages and tools recommended (R, Python, TreeNet, Hadoop, etc)
  • 3 years of experience with relevant modeling technologies (Neural Networks, Random Forests, etc) - Proficient with SQL - Java experience is strongly recommended
9

Business Data & Analytics Architect Resume Examples & Samples

  • Analyzing, transforming and visualizing business data to enable actionable intelligence
  • Leading or supporting project assignments
  • Working with team members to gather requirements, develop, test and deliver both prototype and production analytic solutions
  • Working with team members to maintain and improve existing analytic platforms
  • Creating reports to communicate project and/or operational performance against metrics and supporting or leading training for internal customers
  • Working with customers to ensure outcomes are consistent with goals
  • A 4 year Bachelor's degree from a college or university
  • 3 to 5 years of previous work experience in fields such as purchasing, supply chain, operations, engineering, product development, or marketing
  • Self-starter with strong analytic and organizational skills
  • Strong database management, analysis and reporting capabilities with SQL programming experience
  • Strong visualization experience (Tableau, Sisense, etc.)
  • Proficiency using Excel and PowerPoint
  • Bachelor's Degree in Business, Engineering or Information Technology
  • Programming language experience such as JavaScript, Python, R, HTML/CSS, Linux Command Line
  • Strong oral and written communication skills with ability to lead meetings and focused training events
  • Large database management platform experience using Hadoop or Oracle
10

New Grad-decision Analytics Architect Resume Examples & Samples

  • Recent graduate in MS/PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Machine Learning, Data Mining, Statistical or other mathematical analysis
  • Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
  • Strong understanding of algorithms and data structures
  • Strong analytic and problem solving capability combined with ambition to solve real-world problems
  • Results orientation with ability to plan work and work in a team
  • Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a plus
  • Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++ or C#
  • Experience with one or more common statistical tools such SAS, R, KNIME, Matlab
  • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus
11

Senior Decision Analytics Architect Resume Examples & Samples

  • Collaborating with the internal teams to fully understand business requirements and desired business outcomes
  • Building on team's analytical skills and business knowledge
  • Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members where needed
  • Providing subject matter expertise and quality assurance of complex data driven analytic projects​
12

Analytics Architect Resume Examples & Samples

  • Understand how analytics and other tracking software is implemented across multiple properties/platforms along with the impacts of possible changes or potential conflicts when using multiple tracking programs
  • Use CMG’s tag management system to implement various analytics tracking, such as Adobe Analytics, Google Analytics, comScore, Chartbeat, and Facebook Analytics, across CMG’s websites and mobile apps
  • Create and maintain a series of digital analytics implementation standards across multiple products
  • Assess the tracking health of CMG’s products by auditing them based on the implementation standards
  • Identify and troubleshoot analytics implementation issues or other data collection issues
  • Work with development teams across the organization and outside of the organization to assist with the implementation and execution of analytics tracking across CMG products
  • Responsible for final approval of the implementation of analytics tracking via tag management or by vendors
  • Liaise with development teams, business analyst teams, and business stakeholders as needed for projects. Including acting as a technical translator for these groups as knowledge of analytics implementation varies across the organization
  • Provide documentation and clarifications about the data being collected to internal team stakeholders who support users of the digital analytics platforms at CMG
  • Create documentation and host training sessions for developers and other technology groups on how to use CMG’s tag management system to implement various scripts and code
13

Analytics Architect Resume Examples & Samples

  • Bachelor’s Degree in Computer Science, IT, Engineering or similar technical field
  • Minimum of 5 years of IT experience
  • Proven cross functional leadership and working in matrix organization
  • Renewable Energy experience & knowledge
  • Strong organization, planning and global leadership skills
  • Strong interpersonal and coaching skills
  • Experience leading the implementation and support of large scale Enterprise Master Data Initiative, engineering background
14

Data Analytics Architect Resume Examples & Samples

  • You will architect and own the design of the real-time and batch data analytic platform, tools and solutions, both on-premise and cloud
  • You’ll partner with product and Engineering teams to drive the analytic solutions
  • You will assist in conducting design reviews, tool assessments and technical demonstrations
  • You‘ll mentor, grow and influence team members to adapt to standards and best practices
  • You are a self-starter and work independently on technical projects but also work collaboratively with project team members through an agile development process
  • Experience building large scale distributed data solutions, preferably in a ecommerce company
  • Strong experience in relational databases as well as NoSQL databases
15

Client Analytics Architect Resume Examples & Samples

  • Leads & working with the USAS team and FTT to shape solutions within the USAS space to address ongoing business needs
  • Creates and owns the USAS long-term technology roadmap
  • Builds and coordinates plans to realize the USAS technology roadmap
  • Partners with the USAS business stakeholders to define the business cases regarding the technology needs
  • Owns and drives USAS all key technology solutions/ Primary lead on all technology projects within the USAS space
  • USAS liaison with FTT, GPS and other Business units for all key technology initiatives
  • Be a USAS SME (Subject Matter Expert) regarding emerging technology in the space of USAS by attending trade shows and performing independent research on emerging technologies and companies
  • Works with the business to identify and recommend process improvements in conjunction with or in lieu of technical solutions
  • Interface and coordinate with FTT, GPS and other Business Units to develop overall implementation solution plan, and serve as a business lead as required, for key technology projects
  • Defines project objectives and success criteria (along with key business stakeholders)
  • Manages tradeoffs between scope, quality, time and cost
  • Oversees and provides a level of quality assurance on project implementations
  • Integral part of all phases in key USAS technology projects
  • Oversee aspects of project life cycle, from initial kickoff through requirements analysis, design and implementation phases for projects within the business solution area
  • Provides input to technical solution design activities and support FTT in translating system requirements into technology solution
  • Accountable to represent the needs of the Business Unit Leaders and is responsible for the definition of business data, data relationships, priorities, and risks
  • Creates and maintains the Business Data Architecture document and associated diagrams, which describe these data relationships at a level higher than the requirements or data dictionary level
  • Leads and manages a team of Business Data Analysts
  • Is the liaison between the Business Unit Leaders/SMEs and the Business Project Manager/business analysts for definition of the business data relationships that are in scope for SARA
  • Approve the SRA (requirements) and SDS (high level design) from a Business Data Architecture perspective
  • Represent USAS for Data Governance initiatives
  • Requires a Post Graduate (Master’s) degree or equivalent training
  • Over 10 years’ experience in creating business solutions though large technology projects in the Sales space
  • Have a deep understanding of processes, drivers and success factors in SALES in the financial services space
  • Experienced in both transactional and analytical technologies involving CRM, Web applications, Data Warehousing & Business Intelligence technologies
  • Should have Project Management experience in both Waterfall and Agile methodologies
  • Should have demonstrated ability to engage in senior level business decision maker discussions related to business value and return on investment whilst being able to dive into technology architecture, design and operations is a core requirement
  • Should have both broad and deep technology knowledge and the ability to architect solutions by mapping common customer business problems to end-to-end technology solutions. Technical qualifications include hands-on experience in several of the following: CRM, Web applications, Data Warehousing & Business Intelligence technologies
  • Should have led multiple projects through the Software development process or Systems Development Life Cycle (SDLC), and should have performed in a variety of different roles in that life cycle
  • Should have an in depth understanding of business data, data relationships, priorities, and risks
  • Should be able to share and communicate ideas clearly, both orally and in writing, to executive staff, business sponsors, and technical resources in clear concise language
  • Should have the ability to perform multiple tasks in a fast-paced, team environmen
  • Should maintain strong relationships and communication with senior business leaders, business owners and stakeholders in relation to their business strategies, policies and programs
  • Should foster a climate that supports relationship building and collaboration at all levels throughout USAS and its partners
  • Should partner across the business groups and field subsidiaries, to improve coordination, alignment, and the adoption of best practices
  • Should have the ability to
  • Supervise multiple skill levels of staff members in own and other locations
  • Influence and negotiate within own department and across the organization
  • Set direction and guide staff to desired results
  • Deal with the ambiguity associated with working in a fast paced and changing environment
  • Personal accident insurance for protection of employees and their families
  • Personal loan assistance
16

Digital Analytics Architect Resume Examples & Samples

  • Strong OLAP SQL Server Analysis Services skills and analytics tools experience with PerformancePoint Services,PowerPivot, PowerQuery and PowerMaps
  • Azure cloud, Power BI, R, Hive, Pig, Python, Spark, Hadoop, Mongo, Cassandra
  • Business Intelligence (BI) consulting/client-facing experience
  • Creative thinking and assertive problem solving skills
  • Extensive knowledge of digital and new media marketing techniques with experience working in B2B and/or B2C settings in marketing, content or strategy roles
  • Experience targeting specific goals, focused metrics and key performance indicators (KPIs) when setting strategy
  • Fluent in Japanese and proficient in English
17

Manager, Digital Data & Analytics Architect Resume Examples & Samples

  • Experience working with analytical models or techniques and the ability to apply these methods to solve business problems
  • Experience in structured problem-solving
  • Strong project and people management skills
  • Advanced Microsoft SharePoint, PowerPivot, SQL Server Reporting Services and Excel skills
18

Web Adobe Analytics Architect Resume Examples & Samples

  • Gain experience and develop relationships with one of the largest telecommunications providers in the U.S
  • 5 + Year of Web Analytics, Clickstream experience with implementing Web Analytics using Adobe Analytics, Google Analytics or other web analytic tool for large scale enterprise web applications
  • 7 + Years of experience developing and maintaining large scale enterprise web applications using JavaScript and various JavaScript libraries and frameworks
  • 5 + Year of experience working with SQL data bases and Business Object reporting tools
  • 7+ years of experience in software engineering principles, frameworks and technologies
  • Strong knowledge developing and troubleshooting Java script code and Front End performance issues
  • Experience with tag management systems such as Ensighten, Tealium, Adobe DTM, etc. is a plus
  • Experience with modern JavaScript frameworks, such as AngularJS, jQuery, etc. is a plus
19

Big Data Analytics Architect Resume Examples & Samples

  • You’ll work with different user personas in the company to understand the analytic needs of HomeAway
  • You will assist in conducting design reviews, tool assessments and technical demonstrations.You‘ll mentor, grow and influence team members to adapt to standards and best practices
  • You will investigate and recommend future state technologies like Presto, Looker, Druid, AirFlow and others
  • You are a self-starter and work independently on technical projects but also work collaboratively with project team members through anagile development process
  • Experience building large scale distributed data solutions,preferably in a e-commerce company
  • Strong experience in relational databases as well as No SQL databases
  • Strong expertise in Hadoop and Spark ecosystem
  • Experience with Apache Kafka, Samza or other stream processing technologies
  • Prior design/solution and implementation experience in moving data applications to Cloud
  • Strong BI solution experience using Microstrategy or any other Enterprise BI tool
20

Principal Analytics Architect Resume Examples & Samples

  • Designing and evangelizing analytics technology solutions as a solution architect
  • Developing Data Visualization Prototypes and conducting Proof of Concept (PoC) solution to assist in research and define process of the projects
  • Providing guidance and recommendations to analytics users as an internal analytics technology expert
  • Leading and influencing cross-functional teams to adopt analytics design best practices in successful execution of project and solution delivery
  • Influences functional and technical requirements processes to align with technology road map as shared responsibility with the Business Analysts
  • Understands business problems and opportunities in the context of the requirements as it relates to the project scope and recommends technical solutions that enable the organization to achieve its goals
  • Mastery of current understanding of trends in the IT industry and provides technology advice based on best practices approach to solve analytics related problems and recommend suitable tools and technology as solutions to business users
  • Drives clarity in project scope and focus, early in its lifecycle, by translating initial high-level process scope into relevant, specific, and realistic analytics requirements
  • Works with platform architects to develop technical feasibility analysis, and financial analysis for customers to support the business case development
  • Design and drive technical solution landscape in partnership with platform architecture team
  • Provides leadership and oversight in technical design and development process to ensure overall system functionalities meet user requirements
  • Provides input to solution sourcing decisions (make/buy), in collaboration with technology architects and enterprise architect,
  • Recommends Mylan standards for developing functional solutions and relevant technical innovations
  • Minimum of a Bachelor's degree (or equivalent) and minimum of 6 years of experience. However, a combination of experience and/or education will be taken into consideration. Degree should be focused in Information Science and Technology (IST), Computer Sciences, Business/Sales & Marketing/Supply Chain, Advanced Analytics, Data Science or Statistics or similar areas
  • Experience in one or more of the analytics tools and technologies such as SAP BI, HANA, Business Objects Front End Tools, Hadoop, Python and R will be given preference. The experience in Pharmaceutical or Heath Care sector is desirable
  • Must possess knowledge of Information management, particularly in the assigned area. Deep knowledge and understanding of SAP BI landscape and tool sets and capabilities. Understanding of BI tool and relationship to other business applications and related data domains. Must understand how data flows and is used in the company to gather insights and to drive process improvement
  • Must possess requirement gathering, project management, technical documentation and collaborative team skills; excellent interpersonal, communication and negotiation skills are required. Must have a skill set with some business intelligence tools. Must be very motivated with a strong capacity to learn new technologies
  • Ability to read and interpret complex business and/or technical documents. Ability to write comprehensive reports and detailed business correspondence. Ability to work with managers or directors and communicate ambiguous concepts. Ability to present to groups across the organization
  • Typically sitting at a desk or table. Intermittently sitting, standing, walking or stooping. Periodic travel is required
  • Normal office situation
21

Principal Data & Analytics Architect Resume Examples & Samples

  • Evolve existing data and analytics architectures to accommodate both traditional, structured reporting as well as innovation and transformation efforts leveraging Big Data and data from the Internet of Things (IoT)
  • Build out the full analytics spectrum encompassing descriptive, predictive, and prescriptive analytic capabilities
  • Architect end-to-end analytic solutions by considering delivery and presentation of analyses as well as data ingestion, transformation, and data stores
  • Develop guided and managed self-service analytics that would offer more users access to more analytic capabilities
  • Expand traditional batch-oriented architectures to incorporate real-time data (such as medical devices) and complex event processing
  • Incorporate data management capabilities (data/analytics governance, master/reference data, metadata, and data quality) as a foundation for improved consistency and understanding of data for analytics
  • Drive consistent standards for data management - but at the same time, provide more agile delivery models
  • Partner with the business to develop strategic business cases for analytics, used at management and executive levels, for funding and scoping decisions
  • 10+ years experience architecting, designing, and developing data warehouses/data marts using traditional architectures (Inmon, Kimball)
  • 5+ years experience architecting, designing, and developing analytic solutions using Big Data architectures (e.g., data lakes, active archives, discovery/exploration sandboxes)
  • 3+ years of enterprise level data architecture experience
  • Expert knowledge of, and ability to use architectural frameworks (e.g., Zachman Framework, TOGAF, EABOK, DMBOK)
  • Bachelor’s degree in Information Management, Computer Science, or related field. Master’s or advanced degree preferred
  • Must be able to think and act strategically, and be able to operationalize
  • Proven ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
  • Outstanding inter-personal and communication skills (written, verbal, and technology illustrations)
22

Group Manager, Analytics Architect Resume Examples & Samples

  • Relational and semi-relational structured data experience; implementing Hadoop or one of its commercial distributions
  • Microsoft platform including SQL Server versions 2005 through 2014
  • Exposure to non-Microsoft BI tools
23

Performance Metrics & Analytics Architect Resume Examples & Samples

  • Create mockup reports, specifications, diagrams, and charts
  • In conjunction with data owners and business units, develop models, procedures, and protocols for reporting to meet STS goals
  • Build the ETL processes required to support the data structure required for the reporting solutions
  • Support the daily/weekly/monthly ETL processes to ensure data is loaded and available per service levels
  • Research, review and analyze the effectiveness and efficiency of existing reports and develop strategies for enhancing or further leveraging these processes
  • Work with STS to facilitate implementation of new or improved reporting processes
  • College diploma or University degree in Computer Science, Business, Engineering, or equivalent work experience
  • Must have 8+ years of experience in the Microsoft BI toolkit (SSIS, SSRS, SSAS), experience with SQL 2012
  • Proven experience with reporting tools, software, and other applications such as Microsoft SharePoint 2013
  • Experience with various reporting tools, HTML5, Tableau, Qlikview, etc. Power BI preferred
  • Considerable exposure to the operation and analysis of relational database software and standards as well as data retrieval methodologies
  • Logical and efficient, with keen attention to detail
  • Maintains constant awareness of deliverables; keeps team focused on short and long term milestones
24

Analytics Architect Resume Examples & Samples

  • University degree in general business management, computer science, natural sciences or engineering
  • Excellent understanding of Analytics architecture and technology concepts
  • Experience in defining data models from a business perspective (ERM models, logical model architecture)
  • Experience in HANA modeling and reporting as well as with with modern frontend tools like BusinessObjects Cloud or similar tools
  • Complex thinking, strong analytical skills and creativity in solving complex challenges required
  • Strong interpersonal, verbal, presentation and writing skills
  • High level of flexibility and agility
  • Knowledge about Cloud and Hosting delivery models and respective system operations & infrastructure management processes
  • Excellent verbal and written communication skills, with a strong command of the german and english language
  • 5+ years in related areas
25

Business Analytics Architect Resume Examples & Samples

  • Partner with internal customers to understand kCura’s data challenges, their business impact, and potential value of the ideal solution
  • Design, deliver, and maintain needed data solutions
  • Drive data warehouse architectural decisions and development standards – must have experience with data modeling
  • Create scalable Microsoft based ETL and reporting solutions which meet kCura’s needs for a new data warehouse build
  • Develop extracts, transforms, and loads with SQL Server SSIS Packages
  • Ensure adherence to published development standards and database best practices, resulting in consistent implementation of project components
  • Ensures data integrity, performance quality, and resolution of data load failures
  • Bachelor’s degree in Computer Science or MIS-related area
  • 5+ years of experience as ETL/BI developer – prefer experience on a new data warehouse build
  • Significant experience with SQL Server
  • Proven ability in dimensional data modeling, object creation, and optimization
  • Detail-oriented, self-starter who can work independently
  • Experience with Salesforce and other SaaS data integrations
26

Senior Analytics Architect & Data Engineer Resume Examples & Samples

  • Develop and socialize business analytics strategy, roadmap, and architecture
  • Makes recommendations for strategic and project architecture, solution design, development and implementation for analytics solutions
  • Continuous improvement of business analytics technical capabilities
  • Client consultations, technical solution evaluations, recommendations, impact assessments for analytics solutions
  • Rapid solution prototyping for analytics use cases
  • Defining data requirements, planning data acquisition and preparation for advanced analytics
  • Facilitate acquisition, extraction, transformation, management, and manipulation of large and complex data sets
  • Develop and promote best practices for analyzing very large data sets
  • Keep abreast of new and current data science and big data techniques and develop approaches to adopt them
  • Must have a Bachelor’s Degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Data Science, or Information Sciences or related technical discipline
  • Must have a minimum of 9 years of IT or technical experience
  • Must have experience in any of the following data warehousing and analytics technology areas including: data warehouse architecture and design, data marts design, data modeling, big data, data federation, advance analytics, BI tools and technologies such as SAP BW, SAP Business Objects, SAS, and Power BI
  • Must have experience in data engineering, data mining, large scale data acquisition, transformation and cleaning both structured and unstructured data
  • Masters Degree in Data Science / Computer Science
  • Experience with SAP Hana and Hadoop ecosystem (eg. HBase, Spark, Impala, Pig, Hive, etc.)
  • Experience with NoSQL database technologies (e.g., MongoDB, Cassandra, CouchDB)
  • Experience with statistical analysis software (e.g. R, SPSS, SAS, RapidMiner)
  • Experience with Python, SCALA, PHP, Java, Ruby
  • 5+ years of experience delivering Business Intelligence solutions in a regulated utility environment
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Experienced Big Data & Analytics Architect Resume Examples & Samples

  • At least 10 years experience in in-depth knowledge of the technology and vendor landscape for Big Data & Analytics- including the Hadoop Ecosystem, NoSQL approaches Advanced Analytics, Cognitive Computing and Cloud Data Management
  • At least 10 years experience in /as an architect in the data warehousing and BI space (incl. SQL / Data Modelling, Data Integration, Data Governance)
  • At least 10 years experience in / experience across systems integration, information management business analytics and architecture
  • At least 10 years experience in / experience of a data warehouse environment and knowledge of existing and emerging data integration approaches
  • At least 10 years experience in solution architecture - experience in traditional information management not limited to SAP BW / HANA
  • At least 10 years experience in data architecture - experience of designing and developing logical data models
  • At least 5 years experience in Big Data project consulting - using Hadoop, Map Reduce or NoSql technologies
  • At least 5 years experience in integration of Big Data & Analytics to a traditional data architecture
  • At least 5 years experience in design - experience with programming on high-scale or distributed systems (such as Hadoop)
  • At least 5 years experience in / experience with high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar
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Senior Management Information & Analytics Architect Resume Examples & Samples

  • Significant (10+ years) experience in data management, data reporting technologies within financial services
  • Qualified Full stack development experience
  • Experience in data ingestion for financial services COO and CFO users
  • Hands-on background in foundational data and reporting technologies: RDBMS, SQL, OLAP, Oracle, DWH, Datamarts, Database schema design & modeling, Feed ingestion
  • Implementation experience on progressive technologies for both structured and unstructured data: NoSQL, Big-Data, Indexing/Search, Visualization
  • Team player, Partnership and Solid leadership Skills
  • Entrepreneurial, creative and delivery-focused attitude
  • Ability to work in a global, multi-cultural environment
  • Experience with enterprise class BI and Analytics tools such as Tableau, Pentaho, R
  • Experience with scripting languages such as Python, and Unix shell scripts
  • Experience with Java/Pig and Map Reduce frameworks such as Hadoop/Hive
  • Understanding of advanced Search techniques including content categorization, semantic search, tuning through usage analysis and redaction
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Management Information & Analytics Architect Resume Examples & Samples

  • Qualified (7+ years) experience in data management, data reporting technologies within financial services
  • Comprehensive experience and understanding of financial reporting (e.g. MIS, revenue, forecasting, market data, expense management) using high volume data-sets
  • Experience in designing reports for financial services COO and CFO users
  • Ability to map domain specific data to business requirements in interactive reporting capabilities
  • Hands-on background in foundational data and reporting technologies: RDBMS, SQL, OLAP, Oracle, DWH, Datamarts, Database schema design & modelling, Feed ingestion
  • Excellent written and oral communication skills with all organizational levels
  • Team player, Partnership and Strong leadership Skills
  • Bachelor Degree in Business, Engineering, Statistics, Computer Science, or Mathematics
  • Tableau (3+ yrs experience) and other relevant enterprise class BI and Analytics tools such as Tableau, Pentaho, R
  • Experience in implementing statistics, predictive modelling and machine learning across large scale Big Data repositories
  • Understanding of taxonomy modelling for unstructured and structured data sources
30

Data Analytics Architect Resume Examples & Samples

  • Act as the lead for the translation of business objectives and requirements into functional solutions
  • Convert requirements into an architecture and design that ultimately constitute the blueprint for the solution
  • Consolidate with the stakeholders, leveraging technology and available platforms, contributing to/driving roadmaps, establishment of control points (IPR), implementation into solid platforms and supporting margin improvements
  • Ensure complete and up to date documentation of the architecture and implementation thereof to a level that it can be used by project teams; using (standard) methods & tools for a structured approach
  • Lead brainstorming sessions and identify areas for process improvements
  • Prepare and document testing requirements as well as all test data
  • A MSc/BSc in mathematics, physics, computer science or another relevant area and +4 years senior working experience in an advanced IT technology setting
  • At least 2 years of applied research experience in the domain of big data lifecycle management and proven affinity to the research way of working in the Health-tech domain
  • In-depth understanding of relevant upcoming technologies in big data analytics domain
  • Strong architectural knowledge and proven experience on digital platforms, cloud solutions, big data platforms and complex IT Infrastructures
  • Practical experience and knowledge of various Linux distributions
  • Fast learner able to quickly picking up new areas
31

Data Analytics Architect Resume Examples & Samples

  • Candidate will have the opportunity to support the development of the solution architecture for the Enterprise Data Warehouse and work collaboratively with a global team of system and solution architects to express the conceptual, logical, functional and physical system architecture into supportable solution design models. Will participate in the global architecture team supporting the discipline of describing, building and maintaining the Enterprise Data Warehouse eco-system through Model-Driven Architecture processes. Significant effort will be required to capture narrative-form design material and express the content as system models. Candidate should possess a good knowledge of configuration control and the Clear Case tools
  • As part of the solution architecture team, candidate will develop innovative, reusable, and scalable solutions and identify design quality issues, opportunities for standardization, help establish best-practices. Models will be required to express system behavior down to the physical level (technical specification) and be maintainable at that level of detail. Candidate will assist in evaluating published data models and business process models to identify potential system gaps in meeting business requirements; perform necessary modeling to meet expressed and implied requirements and work alongside the rest of the system and computing architects in Analytics & Information Management Services
  • Computer Science, Computer Programming, System Engineering, UML, Big Data, Data Transformation (unstructured to structured), Data Preparation, Data Integration, Data Definition, ETL/ELT, Real-Time data, Teradata technology
  • PERL, Python, Java, SQL, Tableau, IBM Cognos, Rational System Architect, ARIS, ER Studio, Clear Case
  • Technical bachelor's degree and typically 5 or more years' related work experience or a Master's degree with typically 2 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific, or information technology field of study
32

Lead Data Analytics Architect Resume Examples & Samples

  • Candidate will have the opportunity to contribute to and guide solution architecture for the Enterprise Data Warehouse, supporting multiple business processes from engineering design to after sales support. Work collaboratively with a global team of system and solution architects to express the conceptual, logical, functional and physical system architecture into supportable solution design models. Will be a key member of the global architecture team driving the discipline of describing, building and maintaining the Enterprise Data Warehouse eco-system through Model-Driven Architecture processes. Significant effort will be required to capture narrative-form design material and express the content as system models. Candidate has opportunity to transition into a lead position for the Boeing AIMS Architecture Team and guide and direct other architects on the team
  • As part of the solution architecture team, candidate will develop innovative, reusable, and scalable solutions and identify design quality issues, opportunities for standardization, establish best-practices, define and help publish preferred design patterns. Models will be required to express system behavior down to the physical level (technical specification) and be maintainable at that level of detail. Candidate will assist in evaluating published data models and business process models to identify potential system gaps, perform necessary modeling to meet expressed and implied requirements and work alongside the rest of the system and computing architects in Analytics & Information Management Services
  • Models: Work effectively with cross-functional, globally-dispersed, teams in the analysis of highly complex systems, express system behavior from conceptual to physical as UML models. Identify modeling attributes and parameters. Follow best practices and standard processes for validation and refinement for system requirements. Apply the Boeing TOGAF method and standard software development process to support strategic business goals and objectives. Assess accuracy and quality of models and analysis to confirm that business objectives are achievable
  • System Architecture: Define system behavior based on data and process requirements and performance metrics to support business capabilities. Develop strategies for capturing existing systems into RSA model and managing the models through the SDLC. Identify potential risks and suitability of data, process and requirements, work with other AIMS architects and stakeholders to develop mitigations
  • PERL, Python, Java, SQL, Tableau, IBM Cognos, Rational System Architect, ARIS, ER Studio
  • Technical bachelor's degree and typically 13 or more years' related work experience or a Master's degree with typically 12 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific, or information technology field of study
33

AWS Big Data / Analytics Architect Resume Examples & Samples

  • Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
  • Analyze and extract relevant information from business data to help automate and optimize key processes
  • Design, develop and evaluate highly innovative models for predictive learning
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Research and implement novel machine learning and statistical approaches
  • An MS/PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field. PhD strongly preferred
  • 4+ years of industry experience in predictive modeling and analysis, predictive software development
  • Good skills with programming languages, such as Java or C/C++
  • Experience using Python and/or R
  • Experience using machine learning libraries, such as scikit-learn, caret, mlr, mllib
  • Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications
  • Ability to travel to client locations when needed. Extended travel to customer locations may be required to sell and deliver professional services as needed
  • 6+ years of industry experience in predictive modeling and analysis, predictive software development
  • Experience handling terabyte size datasets
  • Experience working with distributed systems and grid computing
  • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
  • Strong Problem solving ability
  • Strong communication and data presentation skills
34

AWS Big Data / Analytics Architect Resume Examples & Samples

  • 3 years of experience in cloud
  • 6+ years of experience with direct customer interaction
  • For more information on Amazon Web Services, please visit http://aws.amazon.com)
  • Current, large scale project implementation experience required; Internet-related business models preferred
  • Proven experience with key vertical markets like Financial Sector, Telecom, and Utilities
  • Highly technical and analytical, possessing 7 or more years of IT implementation/consulting experience
  • Implementation of AWS services in a distributed environments with Microsoft, IBM, Oracle, HP, SAP etc
  • Deep understanding of cloud computing technologies and workload transition challenges
35

IT Analytics Architect Resume Examples & Samples

  • Ford IT Analytics Capability
  • Define and maintain the portfolio of Analytics services by working across AD and BIT teams with input from the business. Define and maintain skills, competencies, and best practices for
  • Analytics. Lead the Analytics Community of Practice
  • Incremental Business Value from Analytics
  • Consult with the Business IT (BIT), Application Development (AD), and Global Data Insight and Analytics (GDI&A) to develop opportunities to derive incremental business value from existing information through the deployment of Analytics services. Maintain catalog of success stories of application of Analytics Services across Ford
  • New Analytics Capability Priorities
  • Develop and maintain Analytics Research Agenda; Analytics Technology Roadmap; and - - Analytics Benchmarking for Ford Motor Company
  • Enterprise Analytics Portfolio Management
  • Maintain catalog of all Analytics projects in IT and the business; maintain list of synergies among Analytics projects and dependencies of Analytics projects on other projects at Ford. Work with AD, BIT, and the business to develop and shepherd a robust Analytics pipeline
  • Integrated Data Platforms
  • Develop vision and roadmap to create foundational data platforms to drive convergence and efficiencies in analytics enablement at the skill team and enterprise level. Work with AD, BIT and the business to materialize Integrated Data Platforms through synergies and support of IT projects
  • Develop the strategic direction for AI, Big Data and Analytics working with GDI&A, IT Research and various outside suppliers to best meet future demands for Ford business models
  • 15+ years of experience developing analytics strategy and governance for a corporate matrixed environment
  • 15+ years of experience in an IT Analytics Architect role
  • Previous Ford IT Analytics experience
  • Experience with Big Data and Analytics
36

Advanced Analytics Architect Resume Examples & Samples

  • 10 years of experience
  • Able to work in a highly matrix global organization
  • Able to build strong relationships with clients
  • Proficient in data integration, dashboards & reporting strategy and implementation
  • Hands on experience in Advanced Analytics, Business Intelligence & Big data in the digital world
  • Core technologies experience: SQL 2016, SSIS, SSAS, SSRS, and MDX/DAX, PowerBi, Datazen
  • Advanced Tools & Technology experience: Azure Cloud, Azure Data Factory, Azure DB, HDInsight, Data Lake
  • Other preferred, but not mandatory experience: IoT, Hadoop, MongoDB, R, Azure ML, Stream Analytics, Tableau
  • CRM concepts
  • Digital Marketing concepts
  • Digital Workplace concepts
37

Expert Cyber Threat Analytics Architect Resume Examples & Samples

  • You must be a proven problem solver and adept at making good decisions under pressure
  • You must have the ability to learn and be able to apply new concepts daily
  • You have a natural curiosity and make sure you stay up to date on current and future technologies in a variety of technical areas and security domains
  • You are a disciplined professional who will document and implement enterprise security processes and procedures with a mindset of continual process improvement and scalability
  • Your voice must be the voice of reason with a clear understanding of risks. You evaluate risks and present logical concerns and possible solutions
  • Strong Linux Skills
  • Skills in debugging performance problems within applications running on Linux and MS Windows
  • Computer programming and/or scripting languages (Python, R, Java, Scala, Go, Ruby, C++, etc.)
  • Automation (Ansible, Chef, Puppet)
  • Be able to serve as a driving force for operational best practices
  • Supporting a Big Data Analytics Platform through its lifecycle (implementation, maintenance, improvements, divestiture) ensuring consistency and reliability
  • Comfortable with interfacing with internal or external organizations regarding security policy and standards violations, security controls failure and incident response situations
  • Ability to balance and prioritize work
  • Must be trustworthy in keeping sensitive data confidentia
38

Advanced Analytics Architect Resume Examples & Samples

  • Highly proficient with two or more predictive analytics tools including R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy, and Tableau
  • Demonstrable professional experience with data mining, analysis, modeling, of large scale, complex data sets
  • Highly proficient in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms
  • Highly proficient in at least one high level programming languages such (i.e. S, C++, Python, Julia, etc)
  • Highly proficient in statistical modeling tools
  • Able to explain complex analytical methodologies and concepts in non-technical language
  • Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)
  • Exceptional written and verbal communication and presentation skills
39

Analytics Architect, PSG Resume Examples & Samples

  • Lead client discovery engagements with varied business and technology stakeholders, identifying the business requirements and the expected outcomes
  • Design experiments, test hypotheses, and build models that help our clients make better business decisions with historic and real-time data
  • Conduct advanced data analysis and design highly complex algorithms
  • Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple real-time decision systems
  • Model and frame business scenarios that are meaningful and which impact on critical business processes and decisions
  • Working alongside TIBCO consulting and engineering teams to create a technology roadmap that not only meets but exceeds the client’s requirements
  • Develop innovative and effective approaches to solve client's analytics problems, communicating results and methodologies to a wide range of business and technical stakeholders
  • Provide business metrics for client projects to show improvements in the quality of decision making or efficiencies in business processes
  • Foster a mature, governed and managed, yet innovative, data-driven operating model for our clients
  • Inform operational decision making: using techniques drawn from data science, computer science, machine learning, statistical science, operational research and related fields
  • Clearly demonstrate clarity, accuracy, precision, relevance, depth, breadth, logic, significance and fairness
  • Be directly involved in engineering solutions, guiding delivery teams, and shaping data-oriented change
  • Solid knowledge of statistical techniques
  • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
  • Strong programming skills and statistical packages (TIBCO Analytic product set knowledge would be an advantage)
  • Experience using machine learning algorithms
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimisation algorithms
  • In-depth industry/business knowledge a distinct advantage
40

Analytics Architect Resume Examples & Samples

  • Lead the design and rapid cycle development of analytical solutions for various programs (i.e. pharmacy benefit programs) and internal operations
  • Accelerate the speed at which data can be acquired and organized for the purpose of delivering analytical solutions
  • Using analytics, align business strategies with existing capabilities to help achieve business objectives consistently and cost-effectively by leveraging Magellan?s established architecture and disciplines
  • Leverage organizational information and knowledge, existing applications and infrastructure to design a holistic and optimized analytics platform
  • Lead and drive solution integration consisting of both strategic and tactical approaches of the assigned SBUs technical, functional, operational and project management. Methodologies to arrive at the optimal solution for the targeted objective or opportunity
  • Work with various teams across the enterprise to gain insights into product features and functions so that an Analytics roadmap can continue to evolve based on the portfolio of Magellan offered capabilities
  • Assist, as needed, with prospective client presentations and demonstrations and/or opportunity analysis in support of business development
41

Adobe Analytics Architect & Developer Resume Examples & Samples

  • Architect, configure, administer, and operate the Adobe Analytics to measure multi-channel, Omni channel, predictive, as well as next best message campaigns
  • Hands on integrate Adobe Analytics with other Adobe Marketing Cloud products
  • Debug, troubleshoot, and fix the configuration and integration issues. Engage with Adobe Support and Adobe PS as needed. Coach Palo Alto Networks personnel on how to troubleshoot and resolve such issues (knowledge transfer) in self-service mode
  • Assess and audit the current state of platform configuration and accelerate remediation plans
  • Monitor the effectiveness of digital campaigns and iterate to yield higher ROI
  • Build and lead the Adobe Analytics Competency Center at Palo Alto Networks team by building the talent bench with knowledge transfer, mentoring, documentation, automation, and tool development, to make users self sufficient in configuring and operating Adobe Analytics
  • Prepare and implement detailed project plans that list tasks, milestones, timelines, deliverables, dependencies, and task owners
  • Accelerate implementation and achieve ROI on the Adobe Analytics investment in Palo Alto Networks
  • Replace Adobe Professional Services (PS) and use them for only very specialized tasks that need deep expertise. Make the Palo Alto Networks team largely self sufficient for configuring and operating Adobe Analytics
  • Candidate shall have hands-on expertise in Adobe Analytics that meets or exceeds the expertise of Adobe Multi Solution Architects. He/she should be able to set up and manage the data feeds into Adobe Analytics. Candidate must have used tools and products that enhance Adobe Analytics capabilities
  • Candidate should have architected, configured, and implemented several use cases from this list: http://www.adobe.com/marketing-cloud/use-cases.html
  • O Assess and audit the configuration of the Adobe Analytics implementation in Palo Alto Networks
42

Chief Data & Analytics Architect / CTO Resume Examples & Samples

  • Driving Key innovations – diffrentiating competition
  • Architecture for end to end systems, implementation and client-side integrations
  • Identify and implement Best Practices and Coding Standards
  • Assess, review and ensure excellent design, usability and code quality
  • Understand client system architectures and design solutions to integrate product within their enterprise
  • Be up to date with latest technology frameworks and know how to utilize them in product development
  • Work with Sales, Marketing and Executive team to help shape the analytics direction, bringing technical direction and knowledge of available technologies to bear
43

Big Data / Business Analytics Architect Resume Examples & Samples

  • Proven experience in the design of very large Business Analytics solutions
  • Oracle Big Data Technologies (Oracle NoSQL, Oracle Connectors for Big Data, …) Hadoop, Cloudera and other technologies related Big Data such as Hive, Pig, etc
  • Oracle Business Intelligence Foundation Suite
  • Data Integration tools such as Oracle Data Integrator, Oracle Golden Gate
  • Information Discovery tools such as Big Data Discovery
  • Oracle Advanced Analytics tools as Oracle Data Miner, Oracle R Enterprise
  • Oracle Engineered Systems (Big Data Appliance, Exalytics, Exadata, SuperCluster)
  • Rapid Application Development (RAD) and Agile process methods
  • Any experience of delivery of Cloud solutions, better if in the above space, is highly appreciated
  • Act as a trusted advisor specialized in design and delivery of Business Analytics and Data Warehousing with specific focus on Big Data solutions
  • Work closely with clients, either from a technical and non-technical standpoint, to deliver a solution that fulfils or exceeds their requirements
  • Engage with customers to ensure service needs are being met and deliverables are of a high quality
  • Demonstrate commercial acumen when engaging and advising a customer
  • Take full accountability for the solution design and lead the implementation of the Business Analytics solution
  • Continuously develop and maintain their knowledge of relevant Oracle products and services within the rapidly evolving Fusion Middleware technology stack
  • Participate actively in the internal community and manage the re-use and knowledge management of their competency area
  • Form and maintain strong relationships with colleagues in product development
  • Secure broad support for initiatives from key players across lines of business
  • Gain broad support and buy-in for initiatives from key stakeholders
  • Empower and leverages each individual’s unique talents
  • Use deep customer understanding to deliver competitive advantage
  • Advocate for key change initiatives
  • Strong background in and extensive knowledge of Business Analytics and Data Integration solutions, and a good understanding of Big Data use cases
  • Strong results oriented attitude during proposal and delivery phases
  • Ability to understand and articulate customer business requirements and develop corresponding solution design
  • Ability to assess and solve problems in a structured way at all times
  • Feel comfortable presenting and developing complex technical solutions
  • A good level of understanding of Oracle’s overall technologies and solutions
  • Ability to work within team-orientated environments and possess excellent written and verbal communication, and interpersonal skills
  • Energetic and enthusiastic approach to technology, personal management, and building customer relationships
  • Ability to network extensively internally and externally to Oracle in order to create long-term valued business relationships
  • Advanced degree (such as an MBA) is a benefit
  • Good level of spoken and written English skills
  • Project Management and structured / strong organization skills are a plus
44

Business Intelligence & Advance Analytics Architect Resume Examples & Samples

  • Must have a degree (Computer Science, Mathematics), and/or equivalent experience
  • At least 10 years related business and IT consulting, hands-on experience leading projects and development of business intelligence and advanced analytics solutions
  • Must have a proven record of delivering business value from Information Technology
  • Experience working in an international and intercultural environment along with leading virtual staff
  • Solid understanding of interoperability issues and the strengths and weaknesses of business intelligence and analytics platforms and products, and able to provide a trusted voice at the decision-making table. Products and Platforms include but not limited to Informatica, Oracle, SAS, Qilkview, Cognos, SAP and TIBCO
  • Solid understanding of advanced analytics domain and its technology areas, such as unstructured data mining, mathematical and constraint programming and statistical modelling
  • Candidates must have a deep understanding of Healthcare industries, business, customers, and technology. Work experience should involve a mix of business and technology consulting across the lifecycle of Information Technology examples may include assessment and analysis, design, business case development, architecture, envisioning, planning, deployment, benefits analysis, and management
  • The ability and background experience to provide leadership and a demonstrated effectiveness in consulting at management and executive- level
  • Strong interpersonal, verbal, written and presentation skills
  • Understanding on business processes, capabilities models, and data warehousing frameworks and techniques such as CMMi ,TOGAF and Kimball / CIF approaches
  • Solid project management experience PMP. Proven success as Project Manager and Architect; delivering practical solutions for projects (>$1m) that integrate many diverse technologies and products and have longevity
  • In depth understanding of RDBMS applications (Oracle preferred), ETL tools (Informatica preferred), relational and dimensional data modeling practices and where they are best utilized, and security models and methods to protect data / information both within in-house and externally hosted (cloud-based) scenarios
  • Demonstrated expertise in data warehouse concepts, practices, and implementation best practices along with application development best practices (SDLC methodology)
  • Familiarity with current trends in business intelligence and advanced analytics
45

Solutions Analytics Architect Resume Examples & Samples

  • Education: B.S/M.S in computer science or equivalent education and experience
  • 7+ years of professional work experience in healthcare analytics and healthcare informatics
  • 3+ years’ experience in building software applications with a focus on architecture, high level design, infrastructure/platform development, scalability, ETL / ELT and component & data integration
  • Experience with healthcare data warehousing technologies, data pipeline management, BI reporting and development using cloud based technologies (such as AWS or Azure)
  • Strong SQL, Excel and data modeling skills
  • Experience working with production datasets that require data cleansing, transformation, summarization, and analysis
  • Strong programming skills in C#, Python, Javascript, Scala, Spark/Kafka
46

Senior Analytics Architect Resume Examples & Samples

  • Provide technology teams with the technical implementation documentation based on business requirements
  • Design and document customized analytics tracking specifications for digital content and partner with technology teams to ensure proper implementation
  • Diagnose and troubleshoot analytics platform configuration issues
  • Understand aspects of Adobe Analytics and/or Google Analytics implementation (variable mapping, tags, sCode, plug-ins, server call types, cookies, Adobe Analytics variables, Link Tracking, JavaScript, HTML & packet sniffing)
  • General understanding of JS, HTML, CSS, Python and standard development tools
  • Ensure the integrity and accuracy of the digital analytics system by continually monitoring tags, both manually and with automated tools
  • Work with Adobe to resolve any tracking discrepancies that may require combined effort to correct
  • Keep up-to-date with changes in Google Analytics technology and how they affect the tags and data. Communicate these changes to the Analytics and Insights team, technology teams, and other stakeholders as needed
  • Communicate any issues, status updates, and any resolutions across the various teams, allowing greater transparency to the various stakeholders
  • Exhibit strong analytical, project management, storytelling, and communication skills
  • 4+ years of experience with code implementations and debugging/QA experience, preferably with analytics tools
  • 2+ years of experience with analytics tools and reporting (e.g. Adobe Analytics, Google Analytics, WebTrends, etc)
  • Ability to quickly master tracking software of third-party vendor applications from various analytics and advertising technologies such as Chartbeat, Optimizely, Krux, comScore, Nielsen, Facebook, and others
  • Ability to quickly shift between responsibilities that demand longer term strategic vision and immediate tactical decisions/work
  • Bachelor’s degree required. Master’s degree or equivalent work experience a plus
47

Big Data & Analytics Architect Resume Examples & Samples

  • Big Data Platform Design, Implementation and Administration in a hybrid model for structured and unstructured data
  • Develop standard templates for data engineers and train them on defined standards
  • ITGC and BI technical governance related to data acquisition, management and consumption
48

Senior IOT Analytics Architect Nsee Resume Examples & Samples

  • Experieince with design and development of IOT (Internet of Things) solutions for our customers including the identification of data collection and storage methods, application of appropriate analytical models and appropriate sensing and communications technologies
  • Has experience in IT development with specific emphasis on remote data / large scale data management
  • Experience with business scenario modeling, predictive and prescriptive analytics
  • Experience with handling of data in large volumes of structured and unstructured data is required
  • Has the ability to independently plan, control and lead in a agile delivery environment, think and act independently and communicate effectively
  • Has the ability to work well with people from many different disciplines and cultures with varying degrees of technical experience. Experience working in a Global environment is preferred
  • Work closely with other architects to facilitate design of applications based on reference architectures that will ensure integrated solutions
  • Can interpret internal and external business issues and recommend best practices and business solutions; and the ability to solve complex problems taking a broad perspective to identify innovative solutions
  • Define and drive IOT standards, guidelines, best practices. Full domain of IOT concepts should be covered
  • Responsible for interfacing and communicating with Business units, R&D, IT, and other support functions for development and implementation of IoT solutions in the Digital portfolio
  • Responsible for education of internal partners and associates on IOT strategy SEE Digital capabilities
  • Responsible to serve as a strong, influential leader in the organization
  • 10-15 years of IT experience in multiple disciplines such as EA, project management,infrastructure management, sourcing, consulting etc
  • At least 5 years of that experience in IT management leading work teams and managing budgets
  • Strong verbal and written communications. (job requires interactions and presentation tosenior management teams of SEE)
  • BA/ BS or 15 years of experience in diverse professional roles. Work effectively with remote teams
  • Leads and directs the work of others
  • Must be an excellent communicator who enjoys “Selling” ideas and leading change
49

Digital Analytics Architect Resume Examples & Samples

  • Serve as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs
  • Defining systems strategy, developing system requirements, designing and prototyping, testing, training, defining support procedures and implementation
  • Possess strong analytical skills and demonstrable experience designing and managing DMP solutions
  • Develop & outline audience testing strategy recommendations as needed to help clients better understand their consumer base
  • Experience with ad technology (DMPs, DSPs, Ad servers, Ad Exchanges, Cross-Device Tracking platforms, etc…)
  • Familiarity with offline data environments (i.e. CRM systems, email platforms, data lakes)
  • Strong verbal and writing skills (writing samples helpful)
  • Exceptional organizational, presentation, and communication skills
50

Pentaho Business Analytics Architect Resume Examples & Samples

  • Design and implementation of Pentaho Business Analytics platform
  • Design and Implementation of Pentaho Community Dashboard Framework
  • Configure and document Multi-Tenant Capabilities of Pentaho Business Analytics platform
  • Provide technical leadership for the team
  • Resolve technical issues encountered by the team
  • Establish best practices for the development team
  • Design and develop major components of the application to be used by other programmers
  • 7+ of BI experience, 3+ years of Business Analysis using Pentaho Business Analytics
  • In depth understanding of SQL and Database design
  • Familiarity with Linux/Unix command-line environment
  • Development experience in Agile / Scrum development methodology
  • Working experience with large Oracle databases and knowledge of standard methodologies. Bachelor degree in Computer Science, or similar field of study
51

ERP Analytics Architect Position Resume Examples & Samples

  • Partner with the functional groups within the IT organization to communicate and clarify business needs, contribute to development of long-range system plans, and ensure products and services are aligned with business needs
  • Actively seek ways to apply technology to business processes, researching and providing information on technical trends and competitors' practices relevant to the assigned client business
  • Assess near-term needs utilizing structured interview processes to establish business priorities, consult with technical subject matter experts and develop alternative technical solutions; advise on options, risks, costs versus benefits, and impact on other business processes and system priorities
  • Ally with other IT functional areas to remain apprised of project status, and inform customer management of progress; conversely, keep the IT group's technology and service managers aware of user issues and potential potholes or resolve conflicts
  • Develop, motivate, and provide direction to technical team in a way that facilitates the creation of a team environment and enables team to fulfill the department's operation objectives
52

Web Analytics Architect Resume Examples & Samples

  • Bachelor’s degree or equivalent amount of education and work experience
  • Minimum 5 years of work experience or equivalent experience in web production, web architecture, search, analytics, and technical project management is required
  • Excellent communication skills and the ability to propose and support a set of university-wide web architecture standards and guidelines
  • Strong ability to categorize and organize large volumes of disparate data
  • Understanding of modern web design practices as they relate to delivering a positive end-user experience
  • Proficiency with modern prototyping tools such as Axure, Balsamiq and OmiGraffle
  • Technical understanding of modern web development languages and tools such as: HTML, CSS, PHP, and JavaScript/JQuery
  • Business project management experience – managing project deliverable timelines and client outreach
  • General understanding of Linux based web servers
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Analytics Architect Resume Examples & Samples

  • Assess new BI requirements and research technical feasibility and system requirements
  • Develop and document Solution Blueprint with relevant BI architects
  • Assist in technical impact assessment to assess impact on EDW when new requirements are received
  • Develop and maintain a BI reference architecture that is fit for current purpose as well as future proof it to aligning and converging with long term strategic technology advancements
  • Review designs proposed by software development vendors, ensuring fit with reference architecture
  • Measure EDW Implementation against reference data architecture and recommend improvements
  • Develop architectural solutions through understanding current levels of strategic and operational capability and working with key role players to understand the solution required
  • Develop the high level business case to understand costs, risks and benefits
  • Direct the target operating model through designing customer-centric solutions in line with the strategic roadmap
  • Researches & investigates current industry trends and standards in terms of BI processes & technologies to enhance and optimize current BI solutions
  • Recommend appropriate technologies to support the implementation of the BI roadmap
  • Work with the data architect to insure that logical and physical data models support the analytic needs of the business
  • Deep understanding of the architecture discipline, processes, concepts and best practice
  • Strong knowledge of architecture frameworks, concepts and best practices
  • Provide technical leadership on client engagement
  • Map customer requirements to technology capability
  • Deep understanding of general data warehousing principles