Product Strategy Analytics, Senior Associate

athenahealth•Boston, MA

1d•$86,000 - $146,000•Hybrid

About The Position

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. The Product Analytics, Senior Associate position involves delivering clear, data-driven insights that improve athenahealth product outcomes and support product decision-making. This role partners with Product Management, Development, and Strategy teams to provide timely athenaOne-based analytics, release metrics, and impact assessments that inform prioritization and planning. 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.

Requirements

Bachelor’s degree
3+ years of professional experience
Proficiency writing SQL to extract and aggregate data from relational data stores
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

Nice To Haves

Degree (Bachelor’s or Masters) in quantitative disciplines like Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems
2+ years in product-focused data analytics or data science

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
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