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Simplifying the healthcare experience for clients and members.
Analytics Engineer
Location
New York
Posted
117 days ago
Salary
$130K / year
Seniority
Senior
Job Description
Analytics Engineer
Rightway
• Apply hands-on analytics engineering expertise to solve complex, fast-paced business and clinical problems using data. • Design, develop and maintain scalable, analytics ready data models and pipelines (primarily in dbt) that power clinical program reporting, metrics and insights in our Unified Data Warehouse (UDW). • Partner closely with clinical program leaders, analysts, product teams, and operations stakeholders to understand program workflows (e.g., enrollment, adherence, outcomes, follow ups) and translate them into intuitive, well-documented data models. • Build curated data marts and semantic layers that make analytics for clinical programs (such as diabetes and weight management) easy to self-serve for dashboards, ad-hoc analysis and operational reporting. • Own KPI and metric definitions end-to-end, from raw source data through production-grade models, ensuring consistency, transparency and trust in reporting. • Implement automated data validation, testing and quality checks to ensure high data reliability across clinical and operational datasets. • Continuously optimize data models and warehouse performance for both cost and speed as usage scales. • Contribute to analytics governance by establishing guardrails, documentation and best practices that improve accountability, ownership, and data literacy across teams. • Communicate insights effectively by developing clear data memos, documentation and presentations tailored to clinical and business stakeholders. • Explore and integrate AI-enabled analytics and predictive modeling use cases (e.g., adherence risk, program outcomes, operational forecasting) into the analytics stack. Experience operationalizing ML models is a plus.
Job Requirements
- 3 to 4 years working in data analytics and analytics engineering.
- Expert-level proficiency in SQL and statistical programming (Python, R).
- Expert-level proficiency in DBT (data build tool).
- Experience in cloud platforms (preferably in AWS) and hands-on experience in cloud data warehouses (Redshift or Snowflake).
- Experience in dimensional modeling and defining star/snowflake schemas to create a foundation for reporting.
- Strong business acumen, preferably with exposure to clinical programs, care management, or healthcare operations.
- Ability to design data models that reflect real-world clinical workflows, not just technical schemas.
- Strong analytical and problem-solving skills.
- Ability to understand, tackle, and solve problems from both technical and business perspectives.
- Experienced with developing data tools, memos, and presentations to deliver data and insights to stakeholders.
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