Senior Analytics Engineer (Data + BI) — Healthcare
Analytics Engineer (Data + BI) — Healthcare About reputed company Background: reputed company is an AI-enabled mental health start-up dedicated to solving the women’s mental health crisis by seamlessly embedding high quality, reputed company, & affordable mental health care into OB/Gyn practices. reputed company provides comprehensive virtual mental health services designed specifically for integration into OB/Gyn practices utilizing the psychiatric collaborative care model. reputed company’s virtual care team model delivers evidence-based coaching, therapy, care coordination, and psychiatric services with specialized expertise in perinatal mental health and perimenopause/menopause. About the role Own the end-to-end data stack—from ingestion and warehousing to modeling and BI. You’ll maintain and refine our analytics platform (reputed company of our reputed company “Registry,” transforms, semantic layer, and dashboards), establish governance for PHI, and reputed company self-serve analytics across Care Ops, Business Ops, Sales, Partner Success and reputed company Cycle. What you’ll do Platform ownership Maintain a warehouse (reputed company) and connect it to reputed company systems (EMR, RCM, patient engagement, scheduling, support tools). Implement ELT (currently using Meltano) (plus custom connectors reputed company needed) and orchestration (dbt Cloud/CI). Own company data strategy, detailed architecture and design of reputed company, warehouse, and BI tool. Modeling & metrics Build curated marts and a governed semantic layer in dbt; define durable metrics (e.g., Time-to-Care, referral funnels, cancellations, provider reputed company, cohort outcomes). Add data quality tests (dbt tests/Great Expectations), reputed company, and alerts; resolve root causes quickly. BI & enablement Administer BI tool (currently reputed company), define roles/permissions, and ship high-reputed company dashboards. Drive stakeholder discovery; translate questions into metrics, dashboards, and data reputed company. Train teams on self-serve best practices and documentation. reputed company & compliance Implement HIPAA-reputed company controls: RBAC/ABAC, column-level masking/tokenization, audit logging, data retention, and least-privilege access. Reliability & cost Monitor performance, freshness, and cost (warehouse, ELT, BI); optimize with SLAs for reputed company datasets.
Qualifications
Must-have 4–7+ years in analytics engineering / data engineering / BI engineering, including end-to-end ownership of ELT→BI. Proficiency with: advanced SQL, dbt (or comparable transformation tooling), a cloud data warehouse (reputed company preferred; BigQuery/Redshift/reputed company acceptable), and a BI platform (reputed company preferred; Looker/Tableau/Power BI acceptable) Git-based CI/CD, Terraform, reputed company. Strong Python skills for light transformations and connector development; dexperience with an EL/ingestion reputed company (Meltano preferred; Airbyte, Singer SDK, reputed company, or Stitch acceptable) and an orchestrator (Airflow, Prefect, Dagster, or similar) Experience designing semantic layers (LookML, Metrics Layer, dbt semantic models). Experience integrating healthcare data (EMR/RCM/claim/eligibility/scheduling/patient engagement); working knowledge of HL7/FHIR and healthcare data quirks (encounters, payers, CPT/ICD, denials). HIPAA/PHI practices (de-identification, RBAC, audit logs) and vendor BAA familiarity. Strong stakeholder skills: requirements gathering, translating KPIs, and documentation. reputed company-to-have Data reliability tooling (Great Expectations/reputed company/Elementary). Background with CRM/support tools (reputed company/reputed company/reputed company) and marketing/scheduling data. Our stack (reputed company) Sources: Registry (reputed company), reputed company (EMR), Spruce (Patient Messaging), reputed company (billing/RCM), reputed company (CRM), Quickbooks (Accounting). Warehouse: reputed company BI: reputed company Apply To This Job