Analytics Engineer

• Own the end-to-end data stack—from ingestion and warehousing to modeling and BI.
• Stand up/maintain a warehouse (Snowflake) and connect it to source systems (EMR, RCM, patient engagement, scheduling, support tools).
• Implement ELT using Fivetran/Airbyte/Stitch (plus custom connectors when needed) and orchestration (dbt Cloud/CI).
• Build curated marts and a governed semantic layer in dbt; define durable metrics (e.g., Time-to-Care, referral funnels, cancellations, provider capacity, cohort outcomes).
• Add data quality tests (dbt tests/Great Expectations), lineage, and alerts; resolve root causes quickly.
• Roll out a BI tool (Looker/Tableau/Sisense/Omni/Sigma), define roles/permissions, and ship high-leverage dashboards.
• Drive stakeholder discovery; translate questions into metrics, dashboards, and data contracts.
• Train teams on self-serve best practices and documentation.
• Implement HIPAA-aligned controls: RBAC/ABAC, column-level masking/tokenization, audit logging, data retention, and least-privilege access.
• Monitor performance, freshness, and cost (warehouse, ELT, BI); optimize with SLAs for priority datasets.

Senior Analytics Engineer – Data, BI – Healthcare

Senior Analytics Engineer

Senior Analytics Engineer – Data & Visualization

Senior Analytics Engineer

GTM Analytics Engineer

Lead Analytics Engineer