Data Analytics
2 weeks ago
We are looking for a Product Analytics Senior Associate to join our team 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; 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 analysis 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 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 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 sound rationale for recommendations to gain others’ support and commitment
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
5+ years overall professional experience, preferably including 3-4 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)
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