Data Analyst III, Data Platform Engineering Support

Role overview Own and improve a portfolio of production data pipelines, analytical datasets, dashboards, and reports that teams rely on for business and care-related decisions. This role partners across technical and business groups to make data accurate, timely, secure, and useful, while investigating complex data issues and developing actionable analysis.

Responsibilities - Design, build, optimize, and support data ingestion and transformation workflows using tools such as SQL, Python, cloud data platforms, and transformation frameworks. - Translate stakeholder questions into data requirements, analytical plans, and prioritized deliverables, setting clear expectations for scope and timing. - Integrate new client, payer, and internal sources, including claims, eligibility, and electronic health record data. - Establish data quality checks, monitoring, logging, and alerts; lead root-cause analysis for production issues. - Assess schema and model changes for downstream effects and recommend ways to reduce operational or business risk. - Develop analyses, dashboards, metric definitions, data dictionaries, and documentation; mentor colleagues and promote sound engineering practices.

Requirements - Strong SQL and Python skills and experience developing or supporting data pipelines and analytical datasets. - Experience with data platforms and tools such as Azure Synapse Analytics, Databricks, Snowflake, dbt, Power BI, or Tableau. - Ability to investigate complex data problems, evaluate data model changes, and maintain reliable production reporting. - Skill in partnering with technical and nontechnical stakeholders to define needs and communicate analytical findings. - Familiarity with data quality practices, documentation, version control, testing, and peer review. - Careful handling of protected health and personal information in accordance with privacy and governance requirements.

Nice to have Experience working with healthcare data such as claims, eligibility, or electronic health records, and familiarity with AI-enabled tools for analytics workflows.

Benefits and work setup Visa sponsorship or transfer is unavailable; applicants must already be authorized to work in the United States without future sponsorship. The source describes an inclusive benefits program but does not specify individual offerings.