About the Opportunity:
A United States based Analytics Engineer is needed to support reporting, ad-hoc analysis, and analytics development across the organization while helping evolve the data platform over time. This role bridges data engineering and business functions, managing day-to-day analytics needs such as Power BI dashboards, ad-hoc reporting, and SQL development, with growth into data modeling and advanced analytics including machine learning. The role collaborates closely with a Senior Solutions Engineer focused on data ingestion and integrations.
Responsibilities:
• 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
• 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
• Improve consistency, usability, and documentation of core datasets
• Gradually take on more responsibility in data modeling and analytics engineering
• Collaborate on improving analytics architecture and best practices
• Explore advanced analytics or machine learning use cases over time
Requirements:
• Strong expertise in SQL development with modular design skills
• 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
• 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 data platforms
• Familiarity with analytics engineering concepts
• Familiarity with version control and CI/CD tools (GitHub, Gitlab, etc.)
• Exposure to healthcare, EMR, or regulated data environments
• Interest in machine learning or advanced analytics (not required)
Benefits & Perks:
• Bonus eligible
• Health care plan including medical, dental, and vision
• Retirement plan (401k)
• Life insurance
• Paid time off
• Short term and long term disability
• Training and development
Note:
“RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.”