Design, build, and maintain analytics ready‑ data models , including facts, dimensions, and data marts
Develop and manage transformations primarily in the semantic and transformation layer using SQL based tooling
Define and maintain metrics, business logic, and calculations to ensure consistency across dashboards, reports, and analyses
Apply dimensional modeling best practices optimized for BI and analytical consumption
Partner closely with product, operations, finance, and business stakeholders to understand requirements and translate them into well-defined‑ data models and metrics
Act as a steward of business logic—ensuring definitions are clear, documented, and aligned across teams
Proactively identify gaps, ambiguities, or inconsistencies in metrics and drive alignment toward standardized definitions
Optimize data models for clarity, usability, and performance for downstream consumers, including analysts and self-service‑ BI users
Support analysts and BI developers by enabling faster, more reliable dashboard and report development
Ensure analytics outputs are intuitive, discoverable, and trusted by decision‑makers
Implement data quality checks and testing at the analytics layer to ensure accuracy and reliability
Contribute to analytics engineering standards, conventions, and documentation
Collaborate with data engineering partners to provide feedback on source data structure and readiness for analytics.

Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field (or equivalent experience)
2+ years of experience in analytics engineering, analytics, business intelligence, or a related role
Advanced SQL expertise, with a strong track record of building complex, maintainable transformations
Hands‑on experience with analytics engineering tools
Strong understanding of dimensional modeling, metrics design, and semantic layer concepts
Experience supporting BI tools and downstream analytics use cases (dashboards, reporting, ad hoc analysis)
Ability to communicate clearly with both technical and non‑technical stakeholders
Experience in healthcare-related operations, with an understanding of industry processes and terminology.

Engineer, Analytics

Key skills