Enterprise Data and Analytics - 8205

Responsibilities:
 Elicit, research, analyze, and document data, functional, and non-functional requirements utilizing a variety of
requirement analysis techniques including, but not limited to stakeholder interviews, requirements workshops,
business process modeling, diagramming, use case analysis, data analysis, journey mapping, and prototyping.
 Facilitate requirements discussions, present requirements and supporting material through alternative views, and
continuously incorporate feedback into the product backlog.
 Solve business problems by defining robust data solutions via interviewing stakeholders, identifying and evaluating
alternatives, and presenting findings
 Gathers specific field and metric level requirements. Able to relate specific data field needs to broader business
objectives.
 Document source data requirements and create mappings between business terms, source system tables/columns,
and target database schemas, including derivation rules and transformations as ETL specifications
 Conduct analysis of data contained in source systems and its suitability for usage through data profiling, and data
quality assessment
 Perform root cause and impact analyses in support of business data stewards, Data Engineers, SQA and user
acceptance testers
 Create advanced SQL queries; develop Databricks notebooks using Python
 Collaborate well with a range of roles from business customers to IT partners, service providers, and vendors
 Maintain a backlog of business data needs and analytical objectives. Work with program leadership to prioritize in an
iterative and agile framework.
 Support and enable an agile way of working across technical and functional teams
 Manage multiple priorities independently and/or in a team environment.
 Perform other duties as assigned.
Required Qualifications:
 Bachelor’s degree in Management Information Systems, Computer Science, Software Engineering, or other related
field, or the equivalent combination of training, education, and experience.
 Experience conducting workshops and interviews to gather data requirements and opportunities.
 Experience synthesizing user needs from interviews, business artifacts, and existing systems into data requirements.
 Experience with fact/dimension matrices, business questions, and other methods for defining data requirements.
 Experience translating user needs into data requirements, estimating work effort and duration
 Experience in data profiling, data mapping with derivation rules, and data quality assessments
 Ability to interpret and update complex technical documentation
 Effective interpersonal, verbal, and written communication skills.
Desired Qualifications:
 Advanced SQL query programming experience
 Experience working with Synapse Analytics on Azure
 Experience with PowerBI or Tableau
 Experience in Python and Spark programming
 Experience using Jupyter and/or Databricks Notebooks