Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Product Analytics, Senior Associate
Position Summary:
Deliver clear, data-driven insights that improve athenahealth product outcomes and support product decision-making. Partner with Product Management, Development, and Strategy teams to provide timely athenaOne-based analytics, release metrics, and impact assessments that inform prioritization and planning. Work mode: Boston, MA — Hybrid. This role reports to the Product Analytics, Senior Manager.
About the Team:
The Product Analytics team translates customer context and product goals into measurable insights that drive product improvements and client value. The team partners closely with product managers, engineering, UX/research, and operations, using tools and systems such as SQL-based data warehouses, ETL pipelines, and visualization platforms to deliver repeatable, trusted metrics and dashboards. Team priorities include building reliable data assets, improving product performance visibility, and supporting data-informed road-mapping.
Essential Job Responsibilities:
- Partner with Product Managers and scrum teams to define success measures and guide consistent use of outcome-driven metrics
- Extract, transform, and load data from complex systems to produce reports and analyses for product stakeholders
- Develop and maintain dashboards and visual reports to communicate product and feature performance to cross-functional teams
- Monitor release metrics and KPIs; identify regressions, trends, and opportunities for improvement
- Standardize data assets and metrics, surface gaps, and collaborate on corrective actions to improve data quality and consistency
- Conduct analyses to scope potential impact of product decisions on clients and business outcomes
- Communicate analytic findings and recommendations clearly to technical and non-technical audiences to support prioritization decisions
- Build and maintain collaborative relationships with product, engineering, and strategy partners to support continuous improvement
- Use AI tools to enhance analysis workflows: evaluate and apply AI-assisted data exploration, summarization, and automation methods to increase productivity, validate results, and recommend safe, effective uses of AI in analytics processes
Additional Job Responsibilities:
- Support ad hoc research and experimentation to inform product hypotheses and A/B testing plans
- Contribute to documentation of metrics definitions, dashboards, and analytic methods for team reuse
- Mentor junior analysts and share best practices for analytics workflows and data governance
- Help identify opportunities to automate repetitive data processes and reporting tasks
Expected Education & Experience:
- Bachelor’s degree required; degree in quantitative disciplines (e.g., Computer Science, Data Science, Statistics, Analytics, Information Systems) preferred
- 3+ years of professional experience, with 2+ years in product-focused data analytics or data science preferred
- Proficiency writing SQL to extract and aggregate data from relational data stores (required)
- Experience with data transformation/ETL tools and building data pipelines
- Experience with data visualization tools such as Tableau, Power BI, or similar for dashboard and report creation
- Familiarity with a programming language used for analytics (Python, R, or equivalent)
- Strong analytical problem solving, with the ability to synthesize complex information and present actionable recommendations
- Demonstrated ability to communicate technical concepts clearly to diverse audiences
- Experience collaborating across product, engineering, and business teams to influence decisions and measure outcomes
- Excellent verbal and written communication skills
Education and experience
- Bachelor’s Degree required; Degree (Bachelor’s or Masters) in quantitative disciplines like Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems preferred
- 3+ years overall professional experience, preferably including 2-3 years of data analytics or data science
- Strong understanding of database technologies and ability to write code to gather data. SQL experience mandatory
- Demonstrated experience with an array of analytical tools and methods including data visualizations (Tableau, Power BI, etc.), and programming languages (Python, R, etc.)
Expected Compensation
$86,000 - $146,000
Expected Compensation
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 w