Product Analytics, Senior Associate

athenahealth • Boston, MA

4d • Hybrid

About The Position

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.

Requirements

• 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

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

Benefits

• health and financial benefits
• commuter support
• employee assistance programs
• tuition assistance
• employee resource groups
• collaborative workspaces
• flexibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior