Sr Analytics Engineer

**Thank you for considering a career at Ensemble!** Ensemble is a leading provider of technology\-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end\-to\-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose:* **Customer Obsession:** Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. * **Embracing New Ideas:** Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. * **Striving for Excellence:** Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. **The Opportunity:** The Senior Analytics Engineer plays a critical role in transforming curated data into **clear, consistent, and analytics‑ready data models** that power reporting, dashboards, and decision‑making across the organization. This role sits at the intersection of data engineering, analytics, and the business—owning the **semantic layer**, partnering closely with stakeholders, and ensuring that metrics are trusted, well‑defined, and easy to use. The ideal candidate is deeply skilled in SQL‑based transformations and dimensional modeling, has strong business acumen, and is passionate about enabling analysts and leaders with high‑quality, intuitive data.**Essential Job Functions*** 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 (e.g., dbt). * Define and maintain **metrics, business logic, and calculations** to ensure consistency across dashboards, reports, and analyses. * Apply dimensional modeling best practices (e.g., star schemas) 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. *