Senior Analytics Engineer @LifeStance Health
Data and Analytics
Salary usd 132,000 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2d ago

[Hiring] Senior Analytics Engineer @LifeStance Health

2d ago - LifeStance Health is hiring a remote Senior Analytics Engineer. 💸 Salary: usd 132,000 - 145,000 per year 📍Location: USA

Role Description

The Senior Analytics Engineer, Clinical Quality and Outcomes supports the Chief Medical Officer organization in building the future state of clinical quality, patient safety, outcomes measurement, and clinical research analytics at LifeStance.

Reporting to Clinical Strategy, this individual contributor will serve as the bridge between clinical stakeholders, executive leadership, and enterprise data teams. The role will transform complex clinical data into trusted, governed, and actionable insights that drive clinical decision-making, enterprise quality improvement, regulatory readiness, and research initiatives.

The ideal candidate combines deep technical expertise in healthcare analytics with the ability to understand end-user needs and translate them into intuitive dashboard experiences, scalable reporting solutions, and research-grade data assets. This individual will be responsible for ensuring data integrity from source systems through executive reporting, enabling consistent metrics that can confidently be reported internally, externally, to payers, regulatory bodies, board committees, and potentially investors.

This role will support LifeStance in establishing the next generation of clinical analytics capabilities through modern data architecture, cloud data warehouses (e.g., Redshift, Snowflake) and SQL data transformations, data quality frameworks, advanced analytics methodologies, and scalable self-service reporting environments.

Consistent with LifeStance’s values, every member of the LifeStance team is expected to support each other and the mission, which may mean participating in projects and initiatives and performing functions and responsibilities not specifically outlined in this job description.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Informatics, Engineering, Public Health, or a closely related field.
  • 7+ years of experience in healthcare analytics, analytics engineering, business intelligence, data science, or related disciplines.
  • 5+ years experience working directly with clinical subject matter experts and executive stakeholders to define, refine, and operationalize complex measures.
  • Demonstrated experience designing enterprise reporting solutions that support executive, operational, clinical, and regulatory decision-making.
  • Advanced SQL expertise with experience building scalable analytic datasets and reporting environments.
  • 5+ years developing Power BI or equivalent business intelligence solutions.
  • Strong experience with Snowflake and modern cloud-based data platforms.
  • Experience implementing data quality testing, metric validation frameworks, and governance approaches that ensure reporting accuracy and consistency.
  • Experience translating stakeholder requirements into highly usable and impactful dashboard experiences.
  • Strong understanding of healthcare data structures, electronic health record systems, clinical workflows, and quality metrics.
  • Qualified candidates must be legally authorized to be employed in the United States.

Requirements

  • Experience supporting behavioral health analytics, patient safety programs, measurement-based care, quality improvement, or regulatory reporting initiatives.
  • Experience developing datasets supporting peer-reviewed publications, clinical research, outcomes research, or real-world evidence generation.
  • Experience with dbt, Git, automated testing frameworks, semantic modeling, and modern analytics engineering practices.
  • Experience working with PHQ-9, GAD-7, safety planning, suicidality measures, HEDIS, CMS metrics, accreditation standards, or quality reporting programs.
  • Experience creating executive-level scorecards and board-facing dashboards.
  • Master's degree or higher in Public Health, Data Science, Biostatistics, Informatics, Health Services Research, or a related field.

Benefits

  • Medical, dental, vision, AD&D, short and long-term disability, and life insurance.
  • 401k retirement savings with employer match.
  • Paid parental leave.
  • Paid time off.
  • Holiday pay.
  • Employee Assistance Program.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • Regularly required to sit, stand, bend, talk and hear.
  • Frequently required to walk.
  • Must be able to lift and/or move objects up to 25 pounds.
  • Specific vision abilities required include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

Compensation

$132,000 - $145,000/annually in addition to a competitive bonus plan. LifeStance provides the compensation range and benefits that it in good faith believes it might pay and/or offer for this position. LifeStance reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, or federal law.

Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Analytics Engineer @LifeStance Health
Data and Analytics
Salary usd 132,000 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2d ago
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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