Enterprise Analytics Resume Samples

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Guide the recruiter to the conclusion that you are the best candidate for the enterprise analytics job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

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J Dach

Jaylon

Dach

13010 Towne Overpass

Phoenix

+1 (555) 678 2119

13010 Towne Overpass

Phoenix

Phone

p +1 (555) 678 2119

Experience Experience

Detroit, MI

Analyst, Enterprise Analytics

Detroit, MI

Gutmann-Rohan

Detroit, MI

Analyst, Enterprise Analytics

Works collaboratively with stakeholders to understand constraints and expectations
Aids and may collaborate in the thought process of decision makers with validated observations, analysis and recommendations
5% - Responsible for other duties as assigned or developed
Provides timely, detailed and effective written and verbal communication on the status of design activities, risks and complex process administration
20% - Partner in a team environment to measure performance on a daily basis and synthesize observations into dashboards and scorecards
Relational and non-relational databases including SQL programming
50% - Partner in a team environment to independently perform advanced statistical analyses such as logistic and linear regression, CHAID segmentation, parametric and non-parametric methods, clustering techniques and simulation to support answering challenging business questions

Chicago, IL

Senior Analyst, Enterprise Analytics

Chicago, IL

Jones-Ferry

Chicago, IL

Senior Analyst, Enterprise Analytics

Manage a virtual server to set up automation of ETL scripts. This includes error handling, email management, schedule management, etc
Identify opportunities to improve the efficiency of data management to continue making reporting/analytics easier
Assist with analyst onboarding and mentoring on all Analytics Products and Methods
Suggest and provide quality solutions to analytics problems
Identify and implement opportunities for analyst development and training
Write ETL scripts to assist in managing data for BI Reporting. This includes using Python, Powershell, and VB Scripting languages
Understand and support research and implementation of text analytics and real-time operational reports

present

Philadelphia, PA

Director, Enterprise Analytics

Philadelphia, PA

McGlynn, Hyatt and Altenwerth

present

Philadelphia, PA

Director, Enterprise Analytics

present

Provide Signet with descriptive knowledge, predictive outcomes and prescriptive tactics necessary to build effective strategic and annual marketing plans, which allow it to meet its revenue and profit goals and identify opportunities for accelerated growth in future years
Work closely with key business partners to plan and execute high impact and practical data analytics projects and initiatives. Work in conjunction with other functions (particularly E-Commerce, Merchandising, Credit, and Finance) to understand underlying cause/effects for business and customer results
Develop Enterprise Analytics Team by hiring, training, and promoting the future analytical talent for the company. Also provide leadership to team across all activities, including development of
Superior collaborator that can enthusiastically partner closely with broader Local Media Development Team; the software development life cycle lead, communications lead, operations manager, executive producer, team coordinator, and team vice president
Demonstrate leadership strength, an inspired point of view, agility and versatility
Motivated to deliver results by creating value and opportunity, internally and externally
Identify business opportunities and revenue generating potential for team's products. Create plans that clearly summarize the product, opportunity, and the intended business impact

Education Education

Bachelor’s Degree in Computer Science

Northeastern University

Bachelor’s Degree in Computer Science

Skills Skills

Translating customer channel behavior and analytics across different touchpoints to improve customer experience and customer value
Collaborating closely with internal partners such as Marketing, Credit Operations, and Ecommerce to evaluate marketing promotions and customer segments for compelling insights and recommendations
Overseeing the campaign management process from designing predictive models to scoring, targeting, testing and executing promotional campaigns
Creating the strategy for the development of interactive reports and dashboards including visual data exploration to monitor changes in key business metrics
Knowledge of retail key performance indicators (KPIs) including same store sales, average spend, incremental sales, etc
Outstanding technical skills in complex data analysis, using a variety of databases and programming types, including analytic design and results review
Proficiency with common languages used in statistical analysis such as SAS, SPSS, etc. in addition to PowerPoint, Excel, and data visualization experience necessary
Strong synthesis skills - drawing on multiple sources of information for insights. Conversant in primary research, social analytics, secondary research, and competitive intelligence to generate business insights
Prior managerial experience with successful track record of leading a multifaceted team of analysts and building them into a highly effective, responsive, and service-oriented customer insights organization
Ability to work collaboratively across functions to uncover reasons for business results, plus demonstrated successful experience in establishing and maintaining positive and effective business relationships with internal and external contacts

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Svp-enterprise Analytics Platform Head of Product Development Resume Examples & Samples

Experience designing and implementing large scale data and analytic platforms for multi-subject and multi-business use
Experience with building data intensive analytic applications for financial institutions
Experience with development of analytic applications on RDBMS and Big Data technologies for performance and scale
Experience with design and curation of common artifacts in a multi-project, common platform environment
Experience with cloud and platform services, including self-provisioning, dynamic resource allocation and usage metering
Personnel management skills and experience (managing/directing employee workflow, evaluating/assessing performance, etc.)
Strong leadership and management skills
Program and project management experience
Ability to manage large scale, long-term projects and work effectively leading cross-functional teams

Svp-enterprise Analytics Platform Head of Product Development Resume Examples & Samples

Direct management of a development organization that will build and maintain the EAP based on Product Management inputs and business projects
Developing guidelines and implementing a common L2 data model based on industry practices and organizational assets through collaboration with SME’s and CDO/CRDM
Developing guidelines and implementing a curated collection of L3 data sets for modeling & analytics that are broad-based, designed for re-use and user driven
Developing guidelines and implementing the L5 results consumption process via a conformed results data model
Developing guidelines and implementing processes for data flow, security, privacy and adherence to CDMP
Providing design authority for all projects for conformance to EAP processes and data structures. Providing best practices for execution of production projects on the EAP including production job scheduling across projects and businesses
Adhering to standard Citi development, architecture and application management processes
Documenting and publishing design guidelines, integration guidelines, user guides and end user training material for EAP core usage and content

Director, Enterprise Analytics Resume Examples & Samples

Provide Signet with descriptive knowledge, predictive outcomes and prescriptive tactics necessary to build effective strategic and annual marketing plans, which allow it to meet its revenue and profit goals and identify opportunities for accelerated growth in future years
Work closely with key business partners to plan and execute high impact and practical data analytics projects and initiatives. Work in conjunction with other functions (particularly E-Commerce, Merchandising, Credit, and Finance) to understand underlying cause/effects for business and customer results
Develop Enterprise Analytics Team by hiring, training, and promoting the future analytical talent for the company. Also provide leadership to team across all activities, including development of
Bachelor’s Degree in Marketing, Statistics, Data Science, or other related field. Master’s Degree preferred but not required
Minimum 10- 15 years of Customer Analytics / Big Data experience across multiple business disciplines (customer loyalty, segmentation, retention, reactivation) to include demonstrated proficiency in the following
Translating customer channel behavior and analytics across different touchpoints to improve customer experience and customer value
Collaborating closely with internal partners such as Marketing, Credit Operations, and Ecommerce to evaluate marketing promotions and customer segments for compelling insights and recommendations
Overseeing the campaign management process from designing predictive models to scoring, targeting, testing and executing promotional campaigns
Creating the strategy for the development of interactive reports and dashboards including visual data exploration to monitor changes in key business metrics
Deep understanding of content and consumer analytics including customer segmentation, modeling, path analysis, real-time analytics, multivariate testing and traffic reporting is required
Knowledge of retail key performance indicators (KPIs) including same store sales, average spend, incremental sales, etc
Outstanding technical skills in complex data analysis, using a variety of databases and programming types, including analytic design and results review
Proficiency with common languages used in statistical analysis such as SAS, SPSS, etc. in addition to PowerPoint, Excel, and data visualization experience necessary
Strong synthesis skills - drawing on multiple sources of information for insights. Conversant in primary research, social analytics, secondary research, and competitive intelligence to generate business insights
Prior managerial experience with successful track record of leading a multifaceted team of analysts and building them into a highly effective, responsive, and service-oriented customer insights organization
Ability to work collaboratively across functions to uncover reasons for business results, plus demonstrated successful experience in establishing and maintaining positive and effective business relationships with internal and external contacts
Ability to manage custom ad hoc projects, as well as large-scale programs
Exceptional communication and presentation skills with ability to deliver complex data analysis and actionable insights in a way that business stakeholders can understand and use

Analyst, Enterprise Analytics Resume Examples & Samples

50% - Partner in a team environment to independently perform advanced statistical analyses such as logistic and linear regression, CHAID segmentation, parametric and non-parametric methods, clustering techniques and simulation to support answering challenging business questions
20% - Partner in a team environment to measure performance on a daily basis and synthesize observations into dashboards and scorecards
20% - Partner with stakeholders to analyze business needs. Partner in the team effort to define analytical projects, collect data, apply rigorous experimental design and statistical method to achieve business objectives
5% - Partner with the Information Services department to build, maintain and ensure the accuracy of aggregate databases
5% - Responsible for other duties as assigned or developed
Minimum of 4 to 6 years experience in applied statistical analysis and programming in a business setting
Bachelor’s degree with emphasis in a quantitative discipline. Master’s Degree preferred
Experience implementing advanced methodologies from statistics and computational science
Retail industry experience is preferred
Able to demonstrate advanced computing and analytical skills with particular knowledge and understanding of the following areas
Statistical modeling (Lease Squares & Logistic Regression, GLM, Segmentation, Clustering, etc)
Statistical analysis software (SAS, SPSS, R, etc.)
Scientific visualization
Reporting tools (MicroStrategy, Cognos, Business Objects, etc.)
Relational and non-relational databases including SQL programming
Ability to translate advanced statistical approaches for non-technical audiences

Director, Enterprise Analytics Resume Examples & Samples

Data 'guru' that will drive business strategy and execution to achieve specific product, team (Local Media Development), and business (Comcast) results through a superior understanding of performance analytics, projects, and business modeling from analytics
Superior collaborator that can enthusiastically partner closely with broader Local Media Development Team; the software development life cycle lead, communications lead, operations manager, executive producer, team coordinator, and team vice president
Demonstrate leadership strength, an inspired point of view, agility and versatility
Proven ability to recognize, and effectively lead, deadline-driven strategies for revenue-generating business opportunities
Motivated to deliver results by creating value and opportunity, internally and externally
Keen insight into, and appreciation for, new trends, and customer needs by using data to effectively address complex, unusual, and critical LMD product issues and opportunities. No intimidation for finding new and innovative ways to solve complex challenges and optimize LMD platforms using data to motivate the discovery/optimization process(es)
Identify business opportunities and revenue generating potential for team's products. Create plans that clearly summarize the product, opportunity, and the intended business impact
Manage each project through milestones. Ensure broader team and partners are moving toward the goals of the project and that deliverables are met on established timelines
Reporting to the LMD team Vice President, this data leader will act as a highly collaborative partner to all LMD team members, accountable for the following tasks
Driving Advanced Analytics permanently into the team's work flow and broader communication to company's senior executive leadership teams and Executive Management Committee
Lead team's internal business partnership development roadmap
Lead the consistent application and interpretation of data and metrics for all LMD platforms
Assist in the identification and elimination of duplicative efforts; accelerate sharing of best practices
In partnership with the communications lead, serve as core contributor and preparer of presentations that are concise, well organized, and visually appealing so that that the salient points are clearly communicated
Crystalize monthly, quarterly, and annual reporting and analytics needs of the business unit
Creative problem solver, takes a high level of initiative, has a strong sense of personal accountability and consistent follow-through
Create, evaluate, and analyze proposals for new business ideas
Create and manage supporting and related business intelligence processes
Track market trends, innovations, competitive activities and new business opportunities
Seize opportunities quickly while taking educated risks
Demonstrates Character and embodies our company's core values: Integrity delivers on promises and does what's right. Entrepreneurial Spirit always innovating with passion, while maintaining the self-sufficient accountability, and trustworthiness, of an owner. Directness is honest, trusted, clear and transparent. Courage dares to challenge the status quo. Ambassador acts on behalf of Comcast and the business in the market and community. Caring exhibits respect, genuine interest in and care for those around them. Collaborative-Builds strong and valued working relationships across all areas of the company

Director Enterprise Analytics Initiatives Resume Examples & Samples

Lead the development, prioritization, and execution of EA initiatives supporting strategic objectives, and enable it to successfully deliver and implement change. Manage processes and coordination of strategy and planning activities for business reviews, 30/60/90 day plans, etc
Lead change management initiatives within EA collaborating with leaders in key corporate departments to ensure alignment with the overall Company direction
Partner with Enterprise Analytics teams on issues pertinent to leadership, organizational effectiveness, and change management in an effort to improve overall performance and clarity
Engage with all EA teams on projects and initiatives driving project management, meetings ensuring alignment, tracking and accountability to execute and deliver on project plans
Build the EA brand; collaborate with senior leaders within EA to create presentations used in conference speaking engagements
Lead and coordinate team attendance at college recruiting events and other opportunities to build MGM’s Analytics brand at college level
Collaborates with EA teams to create and execute internal and external communications, newsletters, etc
Drive the successful execution of EA Town Halls, leadership meetings/trainings, EA team building events
Lead, develop and execute a department wide training curriculum specialized to individual and team requirements
Collaborate with senior leaders in EA to select external vendors for training; drive process through procurement team for successful on boarding of new vendors
Drive Employee Engagement through EA events, Snack & Smarts, volunteer events, and Enterprise Analytics Employee Engagement Committee (EAEEC) events
Partner with EA team to identify opportunities to develop fully integrated solutions blending organizational effectiveness, talent development, change management, and learning to drive significant improvements in performance and productivity of the department
Develop and facilitate leadership and workshops which will strengthen capabilities, skill set, and team performance. Provide one-on-one coaching to leaders as needed
Ensure alignment of organizational design with business goals and develops or recommends solutions (e.g., functional design, roles and responsibilities, leadership alignment, skill development, etc.)
Effectively integrate EA into the organization, through working effectively with our business partners and providing customer service to our internal and external stakeholders
Bachelor’s degree in Business Administration, Human Resources Administration, Organizational Development or a related field
At least 7 years of experience in organizational development in roles related to standing up new, complex departments within large, complex organizations, preferably with experience in organizational development or Human Resources
Organizational development and/or change management experience
Proven success in driving projects
Excellent Microsoft Office Suite skills (PowerPoint, Excel, Word)

Manager, Enterprise Analytics Resume Examples & Samples

Manage the Customer Intelligence Big Data Platform integration with other projects across organization
Conduct various analysis, including maintaining key metrics and performance benchmarks
Provide Data and Analytics Strategy input throughout the design, development and deployment stages of the Customer Intelligence Platform
Lead the utilization of advanced Data Mining tools and analytics frameworks
Help develop Enterprise Personalization and Data Mining solutions using the best practices and the latest developments in the industry
Collaborate with Strategic Insights, Marketing, Sales and BI teams in the development and deployment of the predictive models across Digital Channels, Properties and Customer Intelligence Platforms
Knowledge of building and maintaining a set of predictive models in support of the Customer Intelligence and Personalization strategies is a plus
Collaborate with IT Infrastructure teams in monitoring and capacity planning of the environment ensuring ongoing stability
Prepare comprehensive documentation about data and its usage
Stay up-to-date with industry trends and providing recommendations for testing into new and emerging technologies, vendors and trends
Provide support for ad-hoc data support and analysis as required time to time
Manage customer team’s expectations and keep them updated
5+ years of experience in leading and executing data-driven customer analytics and marketing programs
3+ years of experience implementing customer segmentation strategies with the solid understanding of segmentation principles, methodologies and best practices
Prior experience building customer segments using data analytics is strongly preferred
Prior experience conducting online and offline campaign performance measurement and post-campaign analysis, including defining key metrics and establishing benchmarks
Advanced relational database and SQL programming skills for data discovery, data preparation and analysis is required
Ability to interpret unstructured data sets such as web logs, network logs, chats or social media data
Experience with Business Intelligence, Reporting and Visualization tools, Tableau experience is strongly preferred
Understanding of the underlying Statistical, Machine Learning theory and Predictive Modeling Lifecycle is a plus
Production experience with Predictive Campaign Response models, including the use of Clickstream, Web Analytics or Display Advertising campaign data is a plus
Production experience implementing Lookalike and Clustering models for Customer Acquisition, Retention and Upsell is a plus
Experience with Hadoop Hive and Pig a plus
Experience with statistical reporting, modeling and quantitative analysis Base knowledge of statistical tools (R, SPSS, SAS) would be an asset
Solid understanding of interactive marketing principles and digital trends
Strong analytical reasoning skills and ability to collaborate with cross functional teams, working with internal business clients
Superior communication skills; ability to communicate effectively with all levels of management and partners

Working Student for Enterprise Analytics Resume Examples & Samples

Are you a highly analytical problem solver?
Do you love working with numbers and new technologies?
Are you reliable, efficient and pragmatic?
Are you a great individual contributor as much as a team player?
Support our Information Owner in driving business and technical content standardization, by
Student in Business Administration, Business Informatics or similar
Affinity for data and reporting system driven working environment: strong sense for technology
Logical, analytical, process oriented thinking
Team player attitude enjoying to work within an international team across all continents
Organized and able to handle multiple tasks and multiple priorities
Fluency in both written and verbal English
IT skills (MS Office, Business Intelligence, Data Warehousing, etc.) and general understanding of IT architectures desirable
Passion to drive change - design thinker mentality with great motivation, flexibility and agility
Various and interesting work in brand new fancy offices at metro Nove Butovice
We believe every employee is a talent and we want to reach your full potential
Interesting non-working activities (volunteering, charity, sport events,..)
Opportunities for professional growth in financial field

Enterprise Analytics Resume Examples & Samples

Develop a deep understanding of our enterprise-wide analytics business to recruit, attract and engage premier talent
In a working leader capacity, create and operationalize recruiting strategies and programs to build robust analytic talent pipelines
Execute on tactical research, referral generation, events, campus activities and sourcing campaigns
Conduct market research to understand the recruiting practices of talent competitors, the availability of talent, market trends and challenges and presenting findings to leadership team
Find, engage, and activate passive candidates through a variety of search methods (social media, internal database, job boards, networking, internet searches, company targets, referrals etc.) to develop and maintain candidate flow
Conduct detailed, thorough candidate interviews and collaborating with leaders for current and future openings
Foster strong relationships in the analytics talent community, partnering with the business to make CVS Health stand out as a destination for great Analytics talent
Develop elite metrics to understand success of different reporting strategies and continually improve candidate sourcing, time-to-hire, and internal recruiting processes
Manage activity for the applicable Recruiting Outsourcing Partners
Lead and develop talent on the TA team

VP, Enterprise Analytics Resume Examples & Samples

Serve as a leader by providing strategy, insights, and guidance around measurement, campaign analytics, reporting, and proprietary primary data research and secondary data products
Lead the charge to develop a Data Science network of capability to tell data stories and turn insights into actionable outcomes that influence strategies
Develop relationships with key stakeholders across functions and levels to achieve business objectives and drive strategic change and to help drive discipline and rigor in business planning and optimization by working with key analytics partners. Understand the interrelationships between different parts of the organization and develop, encourage and leverage synergies with other work groups
Create broad business insight for our enterprise using data assets
Use creativity and vision to go beyond the current tools and identify solutions to problems that will drive new strategies and business results
Lead the effort to develop and apply advanced analytics including customer segmentation and predictive modeling
Develop and manage a team of highly motivated and intelligent individuals towards common goals
15 + years of increasing and relevant experience in analytics function
Academic background in mathematics, statistics, econometrics, quantitative analytics, or related field; Advanced degree preferred
Demonstrated advanced analytical skills, evidenced by expert knowledge in statistical analysis, segmentation, descriptive and predictive modeling
Proven market research, testing, consulting and project management skills
Proven ability to scope technical requirements for delivering measurement/analytics plans and products
Proven leadership skills, evidenced by obtaining results through cross-functional teams in different geographies and cultures
Conceptualization: To visualize the solution, process or infrastructure that is required to satisfy the business requirement
Innovation: To explore new opportunities that add to the business value proposition or reduce costs
Enterprise perspective: To understand the broader implications of strategy across all business units, while visualizing the project-level implications
Matrix Effectiveness: To lead without direct reporting relationships, as well as to navigate multiple business and technical departments
Foresight: To manage the short-term, medium-term and long-term planning horizons concurrently
Consensus building: To enable a group of people with diverse backgrounds to accept a majority or common conclusion
Facilitation: To guide a debate without forcing a conclusion
Leadership: To influence a broad audience to adopt a particular path and be respected as a leader
Logic and Business Acumen: To select the best solution to achieve the business goals from a range of options to resolve an issue or seize an opportunity
Communication: To effectively convey the results of the insights, the process to develop it, and the value it provides; To listen and engage varied partners to create true understanding

Senior Analyst, Enterprise Analytics Resume Examples & Samples

Support the creation and maintenance of Tableau Server Sites and Projects
Develop, design and support interactive Tableau dashboards and visualizations using EDW, DMY, etc. Includes the scripting skills necessary to create/control the data set
Develop and Support efficient and well-designed Tableau data sets
Support analysts using Postgres SQL, Hadoop, Hivesql, R and Python
Research and test innovative ways to use latest Tableau product advancements
Ad-hoc analysis, Tableau dashboards, and Hadoop competency
Learn the latest tips and techniques used by the Advanced Analytics team
Provide Level 1 support for Data Warehouse and Hadoop users using various tools including: Tableau, Business Objects, Crystal Reports, Postgres SQL and Hadoop Hive
Support and guide analysts throughout the company on Tableau functions and features and visualization practices
Assist with analyst onboarding and mentoring on all Analytics Products and Methods
Identify and implement opportunities for analyst development and training
Suggest and provide quality solutions to analytics problems
Research and support analysts in the usage of the Data Warehouse and Data Marts
Write ETL scripts to assist in managing data for BI Reporting. This includes using Python, Powershell, and VB Scripting languages
Manage a virtual server to set up automation of ETL scripts. This includes error handling, email management, schedule management, etc
Identify opportunities to improve the efficiency of data management to continue making reporting/analytics easier
Mentor Enterprise Analytics analysts as it relates to these skills for development of the team
Create and maintain a solid baseline knowledge of various analytics platforms, tools and techniques including Hadoop, Tableau, Python and R
Understand and support research and implementation of text analytics and real-time operational reports
Educate Analytics Community (~200+users) how to leverage advanced analytics solutions

Intern, Enterprise Analytics & Insights Resume Examples & Samples

Work as a member of the Enterprise Analytics team to provide insights that influence decisions through applied mathematical techniques (statistics, modeling and simulation) for sales, marketing, customer logistics, and other functional areas
Quarterback an advanced analytic project and deliver insights to team’s key business partners
Participate in and contribute to the Advanced Analytics Center of Excellence and be an analytic evangelist
Contribute to the development of custom analytical techniques to help drive team goals
Create analyses using disparate data sources, large volumes of detailed data, often starting from scratch
Perform data discovery around new data sources or new uses of existing data sources
Present new insights and analyses that inform on strategic decisions
Develop knowledge of Company’s business processes and product portfolio

Senior Analyst, Enterprise Analytics Resume Examples & Samples

BS/BA or equivalent (preferably in a quantitative field e.g., math, statistics, engineering, economics, finance, computer science); Master’s degree highly desired
MINIMUM of 3+ years experience in Business/Finance/Operations Analytics and/or Management/Economic Consulting roles
Excellent analytical and critical thinking skills, with an ability to understand our internal customers’ needs in detail and translate them into high-level business requirements
A willingness to roll up your sleeves and and experience working with large amounts of data using SQL, Python and/or other data reporting/visualization tools
Proficient at navigating and accessing large customer and transactional databases
A passion for data and analytics and the value that data-driven decision making brings to a business
Strong business acumen as well as strong written and oral communication skills
Strong collaboration, planning, and prioritization skills
Mindset to lead by influence rather than by authority, to build trust across the organization

Senior Systems Analyst, Enterprise Analytics Resume Examples & Samples

Technical skills
Business Systems analysis
Cloud applications and architecture
Data visualization and reporting
Master Data Management
Appications Experience
5 years as a SFDC power user
8 years of MSSQL Server and SQL query language development
Proven experience with Informatica CC360 or equivalent MDM tool
Familiarity with Tableau or equivalent Business Intelligence tool
O 6 or more years proven experience in the above mentioned technical areas of SFDC platform, SQL Server database, Tableau or equivalent BI Tools (Tableau, SSRS, Wave or Oracle OBIEE)

Developer for Enterprise Analytics Resume Examples & Samples

Undertake E2E high quality implementation work on a native HANA platform
Resolve simple to complex reporting and implementation client issues
Understand user requirements and recommend the best technical solution to solve the client issues
Develop and foster a collaborative working relationship with clients and different lines of business within the SAP development organization
Work collaboratively with the team, product owner, Scrum master, and corporate development to develop consulting and project methodology, techniques, tools, and solutions
Provide guidance, assistance, and training opportunities to team members and clients
Degree in information technology or comparable experience
Good communication and networking skills
Ability to work in a demanding, fast-paced environment where quick turn around and change is a daily reality
Good understanding of Analytics related processes and business requirements is an advantage
Having some experience in predictive scenarios and data science is an advantage
Customer, goal and team oriented personality based on SAP core values and new requirements
Practiced lean, agile or SCRUM
More than 2-3 years of professional experience in development with projects involving SAP NetWeaver BW, SAP ECC, BW Integrated Planning, SAP ERP, SAP ERP on HANA or native HANA (for T3 level)
Good technical expertise
Good experience with the HANA platform, XS engine and SAP UI5 is an advantage
Experienced developer in ABAP (includes ABAP-OO) or JAVA, Javascript, HTML and Object Modeling
Basic knowledge in predictive analytics is an advantage
Experience working in transnational teams, fluent English, fluent French

Enterprise Analytics Services Intern Resume Examples & Samples

Querying, integrating, transforming, and loading data into our reporting / analysis environment as needed for use in building analytics visualizations
Creating reports and visualizations to help organizations at SAS make data-driven decisions
Performing analysis on existing visualizations (i.e. identifying possible duplication, legacy reports, and reports with high access rates) to streamline the reports available and enable users to find what they need more quickly

Enterprise Analytics Manager Resume Examples & Samples

Understanding of major BI reporting systems and recent advancements
Expertise in project management
Experience developing and improving processes
Ability to manage deadlines, organize and prioritize work and work with other functional teams
Strategic and analytical mindset
Ability to lead cross-functional activities
Team management and talent development skills
Minimum 3-5 years of experience in analytics in the Wine & Spirits or Consumer Goods industries is required

Manager, Enterprise Analytics Resume Examples & Samples

Bachelor’s degree in Computer Science or related field, or equivalent experience
Five years of industry training and increasingly responsible experience in information systems, including software and programming activities
Manages, assigns and coordinates workflow of assigned staff
Provides guidance in problem determination and resolution
Participates in the specification gathering and design reviews of applications software
Manages customer expectations/communication, projects, deadlines and ensures timely deliverables
Leads the development, implementation, communication, and promotion of IT strategic plans
Supervises, trains, and mentors a staff of skilled information systems professionals
Participates in the establishment of department quality objectives and benchmarks. Coordinates the implementation of effective tools to measure performance against these standards
Provides the support and motivation necessary to create and maintain a technical atmosphere that encourages proactive research and development
Adheres to all MH policies, procedures, and standards, within budgetary specifications, including time management, supply management, productivity, and accuracy of practice
Promotes individual professional growth and development by meeting requirements for mandatory/continuing education, skills competency, supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor, and resource to less experienced staff

Advanced Analytical Developer Enterprise Analytics Resume Examples & Samples

Documentation - Develops and documents technical designs such as Entity Relationship Diagrams (ERD), data flow diagrams, object-oriented design documents and UML diagrams
Testing and Troubleshooting - Ensures design quality by creating, conducting, and documenting testing. Identifies technical roadblocks and troubleshoots and resolves functional and performance related issues
Technical Support and Expertise - Works closely with teams to identify and advise strategic product decisions. Provides application support by analyzing reported defects and replicating/fixing the defects. Acts as a resource for team members in translating business needs into technical designs

Intern, Enterprise Analytics & Insights Resume Examples & Samples

At least 1 year of experience in a quantitative analysis role
Knowledge of advanced predictive analytics tools (SAS, R, Python)
Knowledge of data science techniques (e.g., statistical analysis, clustering/segmentation, machine learning, time series forecasting and optimization)
Experience in Consumer Package Goods industry a plus

Manager Enterprise Analytics Resume Examples & Samples

Proven experience leading a COE specifically with Big Data and Artificial Intelligence, including successful implementation. Lead the Enterprise Analytics Strategy Board
Creating a vision for enterprise data analytics and front end data strategy starting with the Global Data Warehouse (GDW) as well as other systems (e.g., supply chain data warehouse utilizes the GDW for failure rates on durables)
Knowledge and application of next generation analytics: people, process, and systems in order to drive the Amway business including the exploration of new data and analytical approaches, and their actions yield a more effective and impactful development of analyses and strategies
Accountability for the future of Big Data /Artificial Intelligence, partnership with the other top functional analytical teams, including Finance, Supply Chain, Global Sales and Strategic Account Management with in Amway
8 - 10 years progressive experience, with a proven people leadership in the areas of Data Analytics or Insights
Bachelor’s degree in a related discipline required
Advanced degrees welcome!

Manager, Enterprise Analytics Systems Resume Examples & Samples

Serve as a go-between for IT and the Business in translating business requirements into functional IT requirements
Create links throughout various systems and databases allowing the Enterprise Analytics team to create reporting and dashboards that are automated and accurate
Analyze large datasets and develop insights into business performance and variance analysis
Support creation of dashboards and reports, showing KPI’s for department management
Close collaboration with IT to centralize data sources and maintain data integrity and with senior department leaders to identify relevant data necessary to further their success
Cross-train other internal users in how to consume the data products developed
Train users in creating their own dashboards and reports as well as standardize and automate reports
Standardize different dashboards and reports into a unified look and feel
Use reports and dashboards to identify revenue generating opportunities and present those opportunities to senior leadership and persuade them to adopt changes
Build and maintain a strong performing team through providing leadership, appropriate delegation, coaching and training of direct reports
An understanding of the business and the businesses’ underlying data is critical
Bachelor’s Degree in related field or equivalent work experience in data analytics, computer science, economics, engineering or business intelligence
Master’s Degree or MBA in related field is a strongly preferred
Five plus years’ experience working with data systems, large data sets, data mining and discovery
Must be able to obtain and maintain a Nevada Gaming Control Board Registration and any other certification or license, as required by law or policy
Proven ability to serve as a strategic thought partner to senior leadership
Experience partnering with technology departments to solve complex business problems
Ability to thrive in a heavy ad hoc environment while managing multiple projects
Prior experience leading and managing a team
Power user of Microsoft Office products
Highly skilled in tools such as TIBCO Spotfire, SQL Server, SAS Enterprise Guide and SharePoint
Versed in coding languages such as R, Iron Python and others relevant to predictive analytics
Passion for data analytics and successful creation and use of databases
Hotel and/or Casino industry knowledge is preferred
High energy, self-motivator with a constant drive to improve and find better ways to acquire and communicate data
Must be able to work varied shifts, including nights, weekends and holidays