Analyze, tag, identify data assets and systems through data discovery and analysis of high-level business processes.
Sort through uncertain raw data to extract useful elements and collections.
Work with data architects, data engineers, data modelers and reporting users.
Elicit and document our internal customers’ business requirements, identifying the sources and transformations that are correctly modeled to apply to MVP’s data assets to achieve the expected results and serve our users.
Maintain user stories, acceptance criteria, metrics definitions, source to target mappings, and semantic layer specifications.
Comfortably work with and define internal lakehouse data pipelines and workflows across our medallion architecture, as well as working externally with vendors to achieve third party data integrations that both ingress and egress from MVP’s data ecosystems.
Partner with governance teams and business stewards who maintain business definitions, policies, and stewardship workflows.

Bachelor’s degree in a quantitative technical, or business field (e.g. computer science, data science, engineering, finance, statistics) or equivalent practical experience.
1-3 years’ experience working in data analysis, data management, business intelligence, or a related quantitative role.
Demonstratable knowledge of data management, data integration, and database development techniques.
Experience or familiarity with Databricks, SQL Server, and Azure cloud computing.
Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Spark).
Experience with ETL concepts and other tools like SQL, Python, Informatica Power Center or IDMC, SSIS/SSRS, etc.
Experience with business intelligence and reporting technologies like PowerBI, Tableau, Qlik, or Databricks AI/BI.
Experience collaborating on reference architecture, principles, and standards.
Experience with delivery of data solutions and SDLC processes.
Experience or knowledge of the data requirements for health insurance industry.
Proven experience in Data Management planning, organization, and development.
Familiarity with Data Warehouse or Lakehouse concepts.
Familiarity with data governance tools and processes like Informatica CDGC, Unity Catalog, or other industry governance tools.
Time spent with entity relationship modeling, metadata systems, data quality tools and techniques.

Growth opportunities to uplevel your career
A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
Competitive compensation and comprehensive benefits focused on well-being
An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

Data Analyst

Key skills