Senior Associate- Product Analytics

athenahealth is a progressive and innovation-driven healthcare software product company. We partner with healthcare organizations across the care continuum to drive clinical and financial results. Our expert teams build modern technology on an open, connected ecosystem, yielding insights that make a difference for our customers and their patients. We maintain a unique values-driven employee culture and offer a flexible work-life balance. As evidence of our rapid growth and industry leadership, we were recently acquired by Private Equity for $17bn! and we have many new strategic product initiatives for 2023.

We are headquartered in Watertown, US, and our India offices are in Pune, Bangalore, and Chennai.

Job Summary:

We are looking for a Product Analytics, Senior Associate to join our clinicals analytics division to drive improvement and value in the athenahealth product. Your job will be to partner with Product Management, Development, and Strategy supporting planning and decision-making by providing relevant and timely athenaOne-based data, analytics, and insights. Some of the things you will do include exploring opportunities for product improvement; the scoping impact of product decisions on clients; informing backlog prioritization through research & investigation; and building & monitoring effective release metrics and KPIs.

You are passionate about problem-solving and know how to energize cross-functional teams around a problem and use data to identify and prioritize solutions. You are skilled at creating meaningful analyses with large, complex datasets and using query languages, ETL tools, data modeling, and data visualization. You have strong attention to detail and are at your best when tackling new problems and supporting innovation.

The Team:

We are a diverse group of athenistas who believe that being smart about how we use data can lead to better products and more value for our clients. We don't just pull data and create analyses; we create compelling stories driven by the context of our customers and the vision of athenahealth. We believe we are strongest when we support each other, and that learning is always part of the job.

Job Responsibilities

• Work with Product Managers to determine the measures of success and guide good usage of outcome-driven metrics.
• Pull user, transaction, and other data from complex systems in order to format them into reports and analyses for the Product Managers
• Synthesize results to determine success or failure of experiments and make recommendations on go-forward plan.
• Create and maintain easy-to-use visuals (e.g., dashboard, report card, etc.) to keep Product teams informed of product/feature performance.
• Reinforce the use of standardized data assets and metrics and help surface and fill gaps as discovered.
• Develop and manage strong, collaborative relationships with the associated product team.

Typical Qualifications

• Ability to synthesize complex, high quantity, and sometimes contradictory information to effectively solve business problems.
• Demonstrated ability to use a variety of tools, techniques, and processes to gather and report data.
• Ability to effectively communicate technical ideas to various audiences.
• Ability to collaborate across a range of audiences, both internal and external audiences, and across a range of cohorts
• Ability to provide a sound rationale for recommendations to gain others support and commitment.
• Excellent verbal and written communication skills

Education and experience

• Bachelors or masters degree in quantitative disciplines like Computer Science, Data Engineering, Data Science, Statistics, Analytics, or Information Systems preferred
• 5+ years of overall professional experience, preferably including min 3+ years of data analytics.
• Strong understanding of database technologies and ability to write code to gather data. SQL experience is mandatory
• Demonstrated experience with an array of analytical tools and methods including data visualizations (Tableau, Power BI, etc), and programming languages (Python, R, etc)