Senior Data Job Description
Senior data
provides end-to-end support for managed security services (Managed Identity, Managed Cyber Defense, Managed application and Managed cloud) opportunities.
Senior Data Duties & Responsibilities
To write an effective senior data job description, begin by listing detailed duties, responsibilities and expectations. We have included senior data job description templates that you can modify and use.
Sample responsibilities for this position include:
Hands on experience in BigData space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, .NoSQL stores like Cassandra, HBase etc)
Building, running, and scaling data processing pipelines based on Google’s Cloud Dataflow
Create and execute SQL queries to analyze data and troubleshoot potential data anomalies
Lead creation of automated test environment
Continually develop technical staff for performance excellence and monitor leadership potential
Work with multiple stakeholders to design and deliver insightful recommendations, analyze data, and continuously improve the business and technical landscape
Research new technologies to improve the team’s solutions
Participate in build-or-buy technology decisions
Track KPIs and create standard reports and dashboards to analyze marketing performance across digital and traditional channels
Develop hypotheses, analytic designs, business cases and data requirements
Senior Data Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Senior Data
List any licenses or certifications required by the position: AWS, SAS, SQL, PMP, ITIL, IAT, SAP, TOGAF, DAMA, MCSE
Education for Senior Data
Typically a job would require a certain level of education.
Employers hiring for the senior data job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business, Technical, Information Systems, Science, Math
Skills for Senior Data
Desired skills for senior data include:
SQL
Python
R
Security
Cloud
Managed services IT
Mobility solutions
Voice
Wireless services and benefits of data
Statistics
Desired experience for senior data includes:
Ability to understand and demonstrate forecasting and modeling principles
Experience with data ETL tools such as SQL and SAS
Excellent analytical, organization and presentation skills
Advanced skills with all Microsoft Office Software for the creation and management of reports, presentations, and analysis
Experience with SQL Server Analysis and/or Reporting Services would be an asset
Experience with Business Intelligence software such as Tableau, Crystal Reports, Business Objects or Cognos would be an asset
Senior Data Examples
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Senior Data Job Description
Job Description Example
Our innovative and growing company is hiring for a senior data. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for senior data
- Mentor and develop data engineers and business analysts
- Execute components of special projects as assigned
- Collaborate with internal and external stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, - to enable project execution
- Designing, integrating and documenting technical components for seamless data extraction and analysis on big data platform
- Ensuring best practices that can be adopted in BigData stack and share across teams and BUs
- Provides operational excellence through root cause analysis and continuous improvement for BigData technologies and processes and contributes back to open source community
- Design, model and build a scalable data warehouse, using ETL and other related technologies
- Improve the efficiency, scalability and stability of our Vertica data warehouse
- Work closely with data scientists to optimize and productize machine learning models
- Implement systems for tracking data quality and consistency
Qualifications for senior data
- 3+ years of experience with a scripting language (Python preferred)
- Over 5 years of experience physical tuning of databases Indexes, partitions, Compressions etc on a MPP architecture based RDBMS
- 2+ years structuring and querying data in SQL databases
- 2+ years of experience with data modeling, ETL, and reporting tools
- Ability to elicit cooperation from a wide variety of sources, including external vendor relationships internal resources
- Expertise in MS SQL Server, Informatica, Data modeling, and data warehousing
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Senior Data Job Description
Job Description Example
Our innovative and growing company is searching for experienced candidates for the position of senior data. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for senior data
- Monitoring and resolving data integrity, performance, and availability issues
- Assisting other engineering teams integrating with our data pipelines
- Being a champion for new products and technologies
- Refining data capture specs to support analysis requirements
- Working closely with consumers to ensure all data produced is correct, reliable, and useful
- Collaborate with technical experts and business units (Product, Editorial, Architecture, Sales) to build a robust data platform and processes
- Ensure quality, consistency and proper usage/interpretation of data
- Understand database and other integration concepts like http, SOAP and REST protocols
- Troubleshoot complex issues
- Builds and maintains data warehouse and oltp databases
Qualifications for senior data
- Well versed with modern software development concepts and fundamentals (modularization, organization, reuse, Security, Testing)
- Understanding/Experience to any one of No-Sql solutions (Hadoop, Cassandra, Redis, Amazon DynamoDB )
- Mature directness to communicate honest opinion on technology, process and approach and putting in effort to improve them
- Bias the action and strive to get the stuff done as a team
- Ability to work independently in team environment, providing structure in ambiguous situations
- This position requires deep, architect level knowledge and experience with building and deploying systems leveraging hadoop and database technologies
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Senior Data Job Description
Job Description Example
Our company is growing rapidly and is looking for a senior data. To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities for senior data
- Perform data modeling activities
- Gathers requirements from business and technical staff
- Analyzes and translates data requirements in order to recommend appropriate solutions
- Ensures technical database decisions result in coherent system designs
- Uses modeling tool to capture clear definitions of data elements and produces code to implement database changes
- Implements data solutions to satisfy business requirements
- Develop new solutions for our data products so we can scale with the global market
- Engineer robust architectures to ensure near zero downtime for company critical ETLs
- Partner with the UI engineering team to identify areas for optimization upstream and downstream
- Develop new tools and products that enable analysts ready access to the data
Qualifications for senior data
- MS degree in Statistics, Mathematics, Physics, or CS preferred
- Proficiency in SAS or SPSS statistical packages, Microsoft Suite (Excel, PowerPoint, Word)
- Bachelor of Arts (BA) or Bachelor of Science (BS) Degree or higher
- 3+ years software/tech
- Expert proficiency using Tableau
- Strong background in writing SQL
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Senior Data Job Description
Job Description Example
Our innovative and growing company is looking for a senior data. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all of the qualifications, you may still be considered depending on your level of experience.
Responsibilities for senior data
- Designs data requirements to bring together data from multiple systems for audit analysis
- Works with internal audit teams to research areas where data analytics and BI can add value to the internal audit lifecycle, and develop tools and systems to support
- Proactively seeks opportunities to add value to the business through the use of data analytics
- Documents results of audit analytics in line with standards, as required
- Have continuous interaction with the internal and external customers in identifying any gaps in products with respect to the customer expectations in various areas like languages, functional features and integration with third party tools
- Be able to develop machine learning NLP toolkit to allow quick solutions of a large variety of NLP problems
- Scope and lead the build of proof-of-concepts / prototypes using data science techniques directly for TMS customers
- Present proof-of-concepts to customers and grow /maintain relationships with key academic groups and start-ups, acting as an ambassador for TMS organization
- Collect and maintain C&E/FX/MM relevant information in a timely and efficient manner
- Act as a secondary source of knowledge on own data, communicating with other in the resolution of queries on C&E/FX/MM and historical data as needed
Qualifications for senior data
- Understanding of Linux and Git a plus
- Process-driven project management is a plus
- Experience in web analytics tools (Omniture, Google Analytics, DFA) is a plus
- 2+ years of experience with scripting languages (Python, JavaScript)
- Familiarity with JavaScript visualization tools like D3, HighCharts, ChartJS
- Experience cleansing consumer data in volume (address, phone, email)
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Senior Data Job Description
Job Description Example
Our innovative and growing company is looking for a senior data. If you are looking for an exciting place to work, please take a look at the list of qualifications below.
Responsibilities for senior data
- Strive to create the simplest, most automated solution to any problem and not over analyse
- Deliver successful Data outcomes to the business, either as part of a larger project team or individually
- Write production quality code and solutions including documentation
- Provide technical assistance to other developers creating Dashboards and workflows
- Provide technical assistance to users pulling data from our self-service environment
- Integrate internal and external data sources into data visualization software
- Participate in project planning, milestone identifications, and resource requirements
- Design applications targeted at analyzing large volumes of performance and operations data enabling customers to make key business decisions
- Create algorithms that analyze high-volume, unstructured data sources to build models for understanding application performance and availability
- Create visualizations of structured and unstructured performance and operations data for internal and external consumption
Qualifications for senior data
- Local candidates to the greater Phoenix area preferred
- 5+ years industry experience delivering enterprise-scale distributed data applications
- 5+ years of experience in architecting and implementing data warehouse solutions, ETL, Analytics/Reporting with SSAS/SSRS or equivalent BI tools, and web based dashboard development
- 3+ years of experience on big data technologies designing and implementing rich data analytics
- 3+ years of experience with Power BI or similar self-service BI
- Experience working with programming languages C#, Java