Principal Analytics Engineer

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $160k - $175k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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This company has sponsored H1B visas in the past.

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LifeStance Health

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🛡️ Insurance

🏥 Healthcare

💰 Private Equity Round on 2016-12

Consulting • Insurance • Healthcare

LifeStance Health is a provider of comprehensive mental health services, offering care through in-person and telehealth appointments for various mental health conditions such as anxiety, depression, ADHD, and more. With a large network of licensed clinicians, including psychiatrists, psychologists, and therapists, LifeStance Health tailors care plans to fit individual needs. The company accepts a wide range of insurance plans, making mental health care accessible to a broad audience. Services include therapy, psychiatric evaluations, medication management, and psychological testing across numerous states.

📋 Description

• Architect, build, and maintain SQL-based data transformations converting EHR and enterprise-system data into clean, tested, analysis-ready datasets • Lead reusable enterprise data models and semantic layers for patient demand and conversion, engagement and retention, clinician capacity and productivity, scheduling and access, and priority KPIs • Establish analytics engineering adoption foundations, including modeling patterns, development standards, testing, documentation, code review, and pathways from analysis to governed production assets • Develop and maintain datasets for enterprise dashboards and analytical products in Power BI or similar tools • Partner with business leaders, data analysts, product teams, and subject matter experts to translate ambiguous questions into metric definitions, scalable data products, and decision-ready insights • Advise teams on model design, metric governance, source-of-truth decisions, data quality, performance, and responsibilities across data engineering, analytics engineering, and BI/reporting • Mentor data analysts in SQL, dimensional modeling, version-controlled development, testing, documentation, and reuse of governed data assets • Lead troubleshooting and root-cause analysis for complex data-quality and metric-consistency issues, implementing durable controls for trust, lineage, and maintainability • Collaborate with data engineering, platform, governance, and analytics teams on enterprise architecture, privacy and security requirements, EHR transitions, and modernization

🎯 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 direct authority • Strong healthcare or similarly complex regulated-industry experience, with working knowledge of data privacy, security, minimum-necessary access, de-identification, and governance requirements • Qualified candidates must be legally authorized to be employed in the United States • Deep experience with cloud data platforms such as Snowflake, Redshift, or Databricks and modern transformation and software-development practices using dbt, Git, CI/CD, automated testing, and orchestration tools • Experience integrating EHR, scheduling, patient access, CRM, workforce, finance, or revenue-cycle data to support enterprise KPI reporting, patient journey analytics, capacity and utilization insights, retention analysis, or operational decision-making • Experience leading analytics modernization, EHR or source-system transitions, semantic-layer development, data product governance, or migration from report-specific logic to reusable governed models • Advanced degree in Data Science, Analytics, Computer Science, Informatics, Engineering, or a related field, and experience coaching analysts or analytics engineers through formal or informal technical leadership (preferred)

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • AD&D insurance • Short- and long-term disability insurance • Life insurance • 401k retirement savings with employer match • Paid parental leave • Paid time off • Holiday pay • Employee Assistance Program • Competitive bonus plan

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