Senior Analytics Engineer

Alaffia Health • New York, NY

2d

About The Position

We’re looking for someone who will lead the charge to build the data and
analytics foundation of how Alffia makes business decisions to further grow and
expand our footprint in healthcare.

Requirements

• Advanced expertise with relational database and data warehouse solutions, with the ability to write and optimize complex queries, building views, and ideally, have experience working with large healthcare claims data sets
• Proficiency with ELT/ETL workflows for building scalable data pipelines that feed into BI models and reports.
• Strong familiarity with data warehouse governance and architecture, for example, dimensional modeling and warehouse concepts (star/snowflake schemas, slowly changing dimensions, etc.) to ensure data is structured, reliable, and easy to access
• Experience with implementing, enabling, and using business intelligence tools (e.g., Hex) to develop dashboards and reports for a variety of stakeholders including customers, operational teams, as well as investors.
• Strong attention to detail to ensure data product is fresh and accurate for informing business decisions.
• Ability to thrive in a fast-paced, high-impact environment, balancing technical rigor with business needs.
• Strong problem-solving and interpersonal skills and a collaborative mindset to work across different teams and functions.
• Comfortable with advanced Excel for analysis, reconciliation, and prototyping reports when needed.
• Working knowledge to build and maintain reports using javascript or python

Nice To Haves

• Experience working in a startup or high-growth environment, comfortable with ambiguity and evolving requirements
• Prior work at a payer, health tech company, or healthcare analytics vendor.
• Exposure to EDI formats (e.g., X12 837/835) or other healthcare data standards.
• Proficiency with ELT/ETL workflows for building scalable data pipelines that feed into BI models and reports.
• Experience with scheduling/orchestration tools (e.g., Airflow, Dagster, Prefect)

Responsibilities

• Full-stack analytics engineering: Design and build clean, optimized data models and semantic layers that translate business requirements and raw data into structured, actionable insights.
• Enable data-driven decision-making: Build and maintain dashboards, reports, and self-serve analytics tools with user facing data documentation and data ontology and high standard of data freshness, and accuracy, ensuring teams across the org can easily access the right data to drive business outcomes.
• Develop scalable data workflows: Work closely with our data engineering team to ensure data models and ETL/ELT pipelines are efficient, reliable, repeatable and well-documented.
• Optimize performance & cost: Continuously refine analytical queries and data transformations to reduce latency, improve efficiency, and manage costs effectively.
• Foster data enablement & collaboration: Work cross-functionally with commercial, engineering, product, and operations teams to ensure they can leverage data to drive business decisions.
• Establish and maintain reporting SOPs for internal and external needs: including custom report builds, one-off analyses, and investigations into anomalies or unexpected trends

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed