Product Strategy Analytics Senior Associate

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Job Summary

We are looking for a Product Strategy Analytics Senior Associate to join our team to drive corporate product strategy initiatives and the vision of the Product organization. Your job will be to partner with Product Strategy, Product Management, and analogous analytics teams in exploring growth opportunities for athena and evaluating our clients' financial trends related to Value-Based Care (VBC). You will scope & communicate the impact of different product strategies for the organization; inform backlog prioritization through research & investigation; and build & monitor effective metrics and OKRs. You have a deep understanding of emerging trends in the U.S. healthcare systems related to VBC and the role that electronic health record (EHR) systems and health information technology (HIT) can play in advancing VBC. Most importantly, you are able to back emerging trends and opportunities with thorough data analysis that's well vetted and accepted by diverse stakeholders.

You are passionate about problem-solving and developing product strategies driving both near and long-term growth opportunities. You are experienced in coordinating cross-functional teams to identify and prioritize solutions utilizing athena and market data. You have a strong attention to detail and are highly organized. You distill complex datasets into reusable assets with self-service data visualization utilized for decision making & product proof-points. You are skilled at translating complex healthcare data into takeaways for product leadership.
 
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  
 

• Lead cross-functional projects to develop product strategy for emerging product offerings, including scorecard metric development for measuring success of VBC initiatives

• Develop recommendations for product opportunities at a macro level to inform leadership decisions, with the expertise in the business to articulate findings to various stakeholders

• Strategically set and communicate prioritization tradeoffs within analytics across the initiative

• Manage strong, collaborative relationships across strategy, product, service, and client teams with an ability to influence all levels of stakeholders

• Pull user, transaction, and other data from complex systems and format into self-service visuals to keep stakeholders informed of product opportunities

• Drive and execute plans for successful project completion including defining scope, milestones, and successful outcomes

Typical Qualifications

• Ability to synthesize complex, high volume and sometimes contradictory information to effectively solve business problems

• Ability to drive inter-team collaboration in order to achieve business results

• Demonstrated ability to use a variety of tools, techniques, and processes to gather and report data

• Knowledge of, and ability to use, strategies, techniques, and tools for effective communication of 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 sound rationale for recommendations to gain others’ support and commitment

• Excellent verbal and written communication skills with strong business acumen

• Healthcare experience preferred 

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 

• 5+ years professional experience, preferably including 3+ years of data analytics or data science 

• Strong understanding of database technologies and ability to write code to gather data.  Considerable SQL experience mandatory; additional programming experience (e.g. Python, R) mandatory 

• Mastery of advanced time-series analysis, cohort identification & comparison, benchmark development, applied statistical methods, behavioral analytics, and da