Senior Data Analyst
unitedhealthgroup
Job Description
- Tech Stack:Azure, Databricks, Power BI, and PostgreSQL
- Responsibilities Across the Data Lifecycle
- Discovery & Ingestion
- Source assessment, contracts, SLAs; landing design (batch/stream)
- Build resilient ingestion with lineage and schema change alerts
- Storage & Modeling
- Define bronze/silver/gold zones; dimensional models for BI; CDC into Delta/Synapse
- Govern via Unity Catalog/Purview; metadata completeness ≥95%
- Transformation & Quality
- Implement SDE/SLAs for transformations; automated data quality checks (completeness, accuracy, timeliness)
- Versioned pipelines, testing (unit/integration), rollback plans, blue/green deployments
- Serving & Visualization
- Curated datasets with documented measures; self-service enablement via Power BI; certified datasets
- Performance SLAs (e.g., P95 < 3s report load; streaming lag < 60s)
- Operations & Security
- Observability (alerts, SLOs, error budgets), incident management, change management
- Least privilege access, key rotation, secret scanning, compliance (e.g., GDPR-like PII controls)
- Cost & Efficiency
- Monitors spend per pipeline/workspace; enforce cluster policies; storage lifecycle tiering
- Right-size jobs and warehouse pools; commit/reserved capacity were ROI-positive
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so