Analytics Engineer at Phamily

, , -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Engineering, Data Analytics, SQL, dbt, Looker, LookML, Data Modeling, Cloud Data Warehouses, Version Control, Communication Skills, Data Quality, Governance Practices, Python, CI/CD Tools, Healthcare Analytics

Industry

Hospitals and Health Care

Description

Healthcare Tech - Analytics Engineer Location: Remote Job Type: Full-time About Us Phamily is a healthcare technology company focused on making proactive care management simple, scalable, and financially sustainable. Our SaaS platform equips health systems and physician groups with AI-powered virtual care tools to better manage chronic conditions and general patient needs between office visits. By shifting healthcare from reactive, episodic treatment to proactive care management, we’ve already supported tens of thousands of patients, and we’re just getting started. Join us as we continue to revolutionize how care is delivered. Job/Role Description As an Analytics Engineer at Phamily, you’ll transform raw healthcare data into trusted insights that drive smarter decisions across our organization. You’ll design clean, scalable data models, build a governed semantic layer in Looker, and empower teams to self-serve key business metrics. Beyond pipelines and dashboards, you’ll play a critical role in ensuring data quality, protecting sensitive health information, and enabling our product, clinical, and operations teams to act on insights confidently. This is a highly visible role where you’ll shape how data fuels proactive healthcare, directly advancing Phamily’s mission to improve outcomes and reduce costs. Key Responsibilities Develop and maintain dbt models (staging → marts) with clear ownership, documentation, and testing. Build and manage the Looker semantic layer, including Explores, governed metrics, and dashboards for self-serve analytics. Partner with stakeholders to translate business questions into clear, reusable data products and insights. Ensure data quality and trust by implementing tests, observability, and data freshness monitoring. Provide ad-hoc analysis and decision support for product, operations, and leadership teams. Create playbooks, host office hours, and train non-technical users to confidently leverage Looker. Protect PHI with strong permissioning, governance, and secure defaults. Requirements 2+ years of experience in analytics engineering or data analytics, with strong SQL skills. Hands-on experience with dbt (models, tests, docs) and Looker (LookML, Explores, dashboards). Proven ability to model for cloud data warehouses (BigQuery preferred) and manage version control (Git). Strong communication skills with the ability to translate vague questions into actionable metrics. Experience working with sensitive healthcare data and applying appropriate governance practices. Bonus: Familiarity with Python for analysis/automation and CI/CD tools (e.g., GitHub Actions). Bonus: Knowledge of healthcare analytics (claims, clinical, or patient engagement data). Our Compensation & Benefits Competitive compensation commensurate with experience Potential to earn equity based on performance Remote-friendly work environment Medical, dental, and vision coverage for employees and dependents at a nominal cost Paid maternity leave FSA and Dependent Care account options 401(k) eligibility after 6 months of full-time employment Collaborative, mission-driven work environment If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare. Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

Responsibilities

As an Analytics Engineer, you will transform raw healthcare data into insights that drive decisions across the organization. You will design data models, build a governed semantic layer in Looker, and ensure data quality while empowering teams to self-serve key business metrics.