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Analytics Engineer at Esperta Health. Role Overview. We are hiring a United States based Analytics Engineer to support reporting, ad-hoc analysis, and analytics development across the organization while helping evolve our data platform over time.. This role sits between data engineering and the business. You’ll own day-to-day analytics needs—Power BI dashboards, ad-hoc reporting, SQL development—while growing into more advanced responsibilities such as gold-layer data modeling and, eventually, advanced analytics and machine learning use cases. Ad-hoc analysis and reporting will remain a core responsibility of this role as the analytics function matures.. You’ll work closely with a Senior Solutions Engineer who focuses on data ingestion and integrations, allowing you to focus on transforming data into insight and impact.. Why This Role Matters. This role is central to how data is used across the company. You’ll enable faster decision-making today while helping build a more scalable analytics foundation for the future. You’ll have visibility, ownership, and a clear growth path as our data capabilities mature..  . What You’ll Do. Reporting & Ad-Hoc Analytics. Own . ad-hoc reporting and analysis. for operations, finance, and leadership. Build and maintain . Power BI dashboards and reports. Translate ambiguous business questions into clear analytical outputs. Partner with stakeholders to define and refine KPIs and metrics. Ensure reporting is accurate, performant, and trusted. SQL & Data Modeling. Write high-quality SQL to support reporting and analytics. Build and improve . analytics-ready (gold-layer) datasets. Contribute to dimensional and fact-based data models. Help improve consistency, usability, and documentation of core datasets. Growth & Technical Evolution. Gradually take on more responsibility in data modeling and analytics engineering. Collaborate on improving analytics architecture and best practices. Explore advanced analytics or ML use cases over time (as interest and readiness allow). What We’re Looking For. Required. Strong expertise in SQL development with a knack for modular design. Proven ability working with large and complex datasets . Hands on experience building reports or dashboards (Power BI preferred). Experience handling ad-hoc analysis and evolving business questions. Experience and understanding of dimensional modeling. Ability to communicate clearly with non-technical stakeholders. Curiosity and motivation to grow technically. Nice to Have. 2+ years of SQL development experience. Experience with Databricks, Snowflake, or other cloud-based data platforms. Familiarity with analytics engineering concepts. Familiarity with version control & CI/CD tools (GitHub, Gitlab, etc.). Exposure to healthcare, EMR, or regulated data environments. Interest in machine learning or advanced analytics (not required). Company Location: United States.