Emerging Product Services, Associate - Analytics

Position Summary

Data Delivery Associates in Emerging Product Services help transform client data into standardized formats that support analysis and decision-making. In this role, you will use ETL tools and SQL to work with data from multiple sources, including payer, EHR, and lab systems, and help maintain reliable data flows for client implementations and ongoing support.

The Emerging Product Services team supports client implementations and post‑go‑live data operations by managing ETL processes and improving data quality across source systems. The team partners with implementation, product, and technical stakeholders to ensure data is loaded accurately and consistently into the front‑end application. Team members use tools such as SQL, Power BI, Atlassian suite, Power Shell, and related data management tools to monitor performance, analyze trends, and support scalable processes.

• Support client implementation projects by adapting planned scope and applying contingency solutions to maintain data flow from source systems to the application.
• Assist with post‑go‑live implementation support by updating configurations based on client requests and building understanding of source data and ETL workflows.
• Contribute to enhancements of implementation tools and processes that improve scalability, performance, and consistency.
• Write and maintain SQL queries to monitor, analyze, and validate data throughout the implementation and support process.
• Use Power Shell and related tools to support data processing and workflow automation, with Python familiarity as an advantage.
• Analyze data and performance trends using SQL, Power BI, and Atlassian suite to help explain variations and identify issues.
• Partner with internal stakeholders to investigate source data questions and support data analysis needs.
• Apply AI tools to speed up analysis, draft SQL or documentation, and learn new ways to improve productivity while still checking outputs carefully before use.
• Collaborate with team members and cross‑functional partners to manage priorities, meet deadlines, and resolve issues when needed.

• Document implementation updates, workflow changes, and issue resolutions.
• Participate in team discussions to share observations and process improvement ideas.
• Support testing and validation activities related to data transformations and releases.
• Help maintain organized records of client‑specific data requirements and implementation decisions.
• Contribute to troubleshooting efforts for data quality, mapping, or load issues.
• Build working knowledge of healthcare data sources and implementation patterns over time.

• Bachelor’s degree or equivalent combination of education, training, and experience required.
• 2+ years of experience in data integration, data operations, or relational databases required.
• SQL programming experience required.
• Experience with data management languages such as Power Shell and Python preferred.
• Experience with Atlassian suite, Visual Studio Code, and Salesforce preferred.
• Familiarity with healthcare data, including payer claims and clinical data sources, preferred.
• Experience analyzing complex business problems and helping develop solutions preferred.
• Demonstrated ability to learn technical tools, solve problems, and improve processes preferred.
• Ability to work collaboratively, communicate clearly, and follow through on commitments required.
• Experience using AI tools to support analysis, drafting, or productivity tasks preferred.

$56,000 – $96,000 base salary, depending on experience and location. Base pay is only one part of the total rewards package, which may include an annual discretionary bonus plan, variable compensation, and equity plans.

• Health and financial benefits.
• Commuter support.
• Employee assistance programs.
• Tuition assistance.
• Employee resource groups.
• Collaborative work spaces.
• Flexibility for work‑life balance.

athenahealth is an equal opportunity employer. All qualified applicants will receive consideration for employment without respect to race, color, religion, sex, national origin, or any other protected status. For more information, see ‑opportunity.