Principal Analytics Engineer

BEHAVIORAL HEALTH PRACTICE SERVICES; United States; On-site; USD 160,000 - 175,000; Full time

Benefits offered by this job

Medical

Dental

Vision

AD&D

Disability (short & long-term)

Life insurance

401k with employer match

Parental leave paid

Paid time off

Holiday pay

Employee Assistance Program

Job summary

LifeStance Health is seeking an experienced Principal Analytics Engineer to provide technical leadership for Enterprise Analytics. This senior IC will design scalable data models and analytics products spanning patient demand, access, engagement, capacity, scheduling, and enterprise KPIs.

You will hands-on with SQL, data modeling, testing, and documentation while mentoring analysts and establishing standards for analytics engineering across the organization.

Qualifications

• 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 the enterprise context.

Responsibilities

• Architect, build, and maintain SQL-based data transformations from EHR and other systems into analysis-ready datasets.
• Lead the design of reusable enterprise data models and semantic layers for KPI analysis across domains.
• Establish the foundation for analytics engineering adoption, including modeling patterns and testing practices.
• Develop and maintain datasets for enterprise dashboards and analytics products in Power BI or similar tools.
• Partner with leaders, analysts, and product teams to translate questions into data products and insights.
• Serve as an internal analytics engineering expert advising on model design, governance, and data quality.
• Mentor analysts in SQL, dimensional modeling, and governance of data assets.
• Lead troubleshooting for data quality issues and implement durable controls for trust and lineage.
• Collaborate with data engineering, governance, and analytics teams to align models with architecture and privacy needs.

Skills

SQL

Data modeling

Analytics engineering

Power BI

Education

Bachelor's degree in Data Analytics or related field

Tools

EHR data sources

Data pipelines

Job description

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

• medical
• dental
• vision
• AD&D
• short and long-term disability
• life insurance
• 401k retirement savings with employer match
• paid parental leave
• paid time off
• holiday pay
• 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 he