Junior Analytics Engineer

Summary

At Ascendco, we’re building something that matters. We’re a fast‑growing healthcare tech startup with a cloud‑based platform that empowers surgical teams and process improvement leaders with the data and insights they need to improve patient safety and surgical efficiency. Behind the scenes, that impact depends on a skilled team keeping our data accurate and our analytics tools running smoothly. This is a hybrid role – 50% in our Kansas City, MO office and 50% remote – with about four go‑lives per year, where you’ll see the direct results of your work in action.

We’re looking for someone eager to dive into analytics, work with innovative tools, and grow their skills in a collaborative, fast‑moving environment. The Junior Analytics Engineer helps ensure data is accessible, accurate, and actionable by supporting data engineers, data scientists, DBAs, and BI developers. They work across the full analytics pipeline from ingestion and transformation to visualization, gaining experience with both back‑end and front‑end analytics tools.

Candidates with a background in sterile processing are especially encouraged to apply.

• Manage BI tool configurations (Domo), including data source connections, refresh schedules, and permissions
• Ensure dashboards and datasets are up to date and performant
• Help troubleshoot failed jobs, latency issues, or broken data connections
• Assist in building, testing, and monitoring ETL/ELT workflows that bring data from multiple sources into the analytics environment
• Assist in migrating and documenting BI assets for reusability
• Support DBAs by running and tuning SQL queries to improve performance
• Assist in indexing, partitioning, and other optimizations to support analytics workloads
• Follow and enforce data quality and privacy protocols
• Document new datasets, workflows, and API integrations
• Build custom client reports

• Postgre
  
  SQL (including SQL query and optimization skills)
• Familiarity with BI tools
• Python

• Background in sterile processing preferred, but not required (healthcare analytics may suffice)
• Eagerness to learn and grow in analytics development
• Strong analytical and problem‑solving skills
• Ability to troubleshoot and optimize data pipelines
• Effective communication and collaboration skills

• Experience with ETL workflows
• Documentation or technical writing skills

Reach your peak and become an Ascender today.