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Emerging Product Services, Associate - Analytics
athenahealth
- United States
- United States
Über
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. 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. You will collaborate with cross-functional partners to support project delivery, improve process efficiency, and resolve data issues. This role is remote/hybrid/in-office, depending on team needs, and reports to the Product Analytics Senior Manager. About the Team
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, PowerShell, and related data management tools to monitor performance, analyze trends, and support scalable processes. Essential Job Responsibilities
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 PowerShell 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 escalate issues when needed Additional Job Responsibilities
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 Expected Education & Experience
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 PowerShell 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 Expected Compensation
$56,000 - $96,000 The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
Sprachkenntnisse
- English
Hinweis für Nutzer
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