Senior Clinical Analytics Engineer

BEHAVIORAL HEALTH PRACTICE SERVICES; United States; On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

AD&D

Disability insurance

Life Insurance

401k with employer match

Paid parental leave

Paid time off

Holiday pay

Employee Assistance Program

Job summary

LifeStance Health is seeking a Senior Analytics Engineer, Clinical Quality and Outcomes to bridge clinical needs with data platforms. You will transform complex clinical data into trusted insights, design scalable dashboards, and enable decision-making across executive leadership, payers, and regulators.

The role emphasizes data integrity, governance, and collaboration with enterprise data teams to advance clinical analytics capabilities using modern architectures and cloud warehouses.

Qualifications

• Translate clinical questions into measurable analytic requirements and dashboards.
• Turn clinical data into trusted, governance-ready analytics assets.
• Partner with clinical and executive leaders to drive quality improvement.

Responsibilities

• Design, build, and maintain SQL-based data transformations from EHR and clinical data.
• Collaborate with clinical, operational, and executive leaders on analytic requirements.
• Ensure data quality, lineage, and metric governance across dashboards and reports.
• Support data integrity with testing, reconciliation, and validation.
• Assist in scalable self-service reporting and research data assets.

Skills

Data storytelling

Stakeholder collaboration

End-user focus

Tools

SQL

Redshift

Snowflake

ETL tooling

Job description

LifeStance Health is seeking a Senior Analytics Engineer, Clinical Quality and Outcomes to bridge clinical needs with data platforms. You will transform complex clinical data into trusted insights, design scalable dashboards, and enable decision-making across executive leadership, payers, and regulators.

The role emphasizes data integrity, governance, and collaboration with enterprise data teams to advance clinical analytics capabilities using modern architectures and cloud warehouses.