Principal Analytics Engineer

About this role

At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in mental healthcare.
Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team!
LifeStance Health Values

• Belonging: We cultivate a space where everyone can show up as their authentic self.

• Empathy: We seek out diverse perspectives and listen to learn without judgment.

• Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it.

• One Team: We realize our full potential when we work together towards our shared purpose.

Benefits
As a full-time employee of LifeStance Health, the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program.
ROLE OVERVIEW
We are looking for an experienced Principal Analytics Engineer to provide technical leadership for Enterprise Analytics. Reporting directly to the VP of Analytics and Insights, this senior individual contributor will create the trusted, scalable analytics foundation used to understand enterprise performance and support better decisions across the organization. The role will design high-quality data models and analytics products spanning patient demand and conversion, access and scheduling, patient engagement and retention, operational optimization, enterprise KPIs, and major business transformation initiatives. You will remain hands-on with SQL, data modeling, testing, and documentation while serving as an internal expert who establishes standards, accelerates adoption of analytics engineering practices, and mentors data analysts as they incorporate those practices into their work.
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.

COMPENSATION: $160,000 - $175,000/annually in addition to a competitive bonus plan

KEY RESPONSIBILITES

• Architect, build, and maintain SQL-based data transformations that convert data from EHR and other enterprise systems into clean, tested, analysis-ready datasets with minimal technical direction

• Lead the design of reusable enterprise data models and semantic layers that support consistent analysis of patient demand and conversion, patient engagement and retention, clinician capacity and productivity, scheduling and access, and other priority KPIs

• Establish the foundation for analytics engineering adoption, including modeling patterns, development standards, testing practices, documentation expectations, code-review approaches, and repeatable pathways from analysis to governed production assets

• Develop and maintain the datasets utilized by enterprise dashboards and analytical products in Power BI or similar tools that provide actionable insights and self-service capabilities for operational, functional, and executive stakeholders

• Partner closely and iteratively with business leaders, data analysts, product teams, and subject matter experts to translate ambiguous questions into clear metric definitions, scalable data products, and decision-ready insights

• Serve as an internal expert on analytics engineering, advising teams on model design, metric governance, source-of-truth decisions, data quality, performance, and the appropriate division of responsibilities across data engineering, analytics engineering, and business intelligence/reporting

• Mentor data analysts in SQL, dimensional modeling, version-controlled development, testing, documentation, and reuse of governed data assets, helping analysts progressively adopt analytics engineering methods in day-to-day work

• Lead troubleshooting and root-cause analysis for complex data quality and metric-consistency issues, and implement durable controls that improve trust, lineage, and maintainability across analytics products

• Collaborate with data engineering, platform, governance, and analytics teams to align enterprise models with target architecture, privacy and security requirements, EHR transition needs, and modernization of the data and analytics environment
REQUIREMENTS

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, Informatics, or another discipline with relevant work experience required

• 10+ years of experience using advanced SQL to build production-grade data transformations, analytical datasets, and reusable models supporting BI, analytics, or data products

• 8+ years of experience designing flexible, scalable analytics and data modeling solutions in healthcare environments, including dimensional models, semantic layers, and executive or operational dashboards

• 6+ years of experience operating independently in a senior or lead role, partnering with business and technical stakeholders to define metrics, resolve ambiguity, and deliver enterprise-scale analytics solutions

• Demonstrated experience leading analytics engineering architecture and standards across complex, multi-data-source environments, with accountability for technical quality and long-term maintainability

• Expert-level skills in analytics data model design and execution with dbt, including facts and dimensions, modularity, normalization and denormalization trade-offs, incremental processing, testing, lineage, and performance optimization

• Proven ability to create adoption foundations and influence ways of working through standards, reusable frameworks, enablement, code review, documentation, and mentoring without relying on…