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Associate Data Scientist (USA)

pointclickcare Salt Lake City, UT

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  • 110 open roles at this company in 30 days (mass-hiring blitz)

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About the role

Key Responsibilities:

Extract data to build metrics or create/update Tableau dashboards to track success toward company, department, and customer KPIs

Share insights with customers regarding drivers of success or areas of opportunity

Research new ideas to help prioritize areas of focus

Consult with internal and external customers to develop new dashboards, metrics, KPIs, outcomes evaluation, or ROI

Respond to ad hoc analytic requests from internal and external customers

Understand and use the data warehouse and relational databases

Ensure accurate quality of deliverables by participating in peer review

Who you'll work with:

The Associate Data Scientist will work closely with other members of our Data Science department as well as many teams throughout the organization such as Market Directors, Solutions Design, Customer Success, Sales, Marketing, Product, Professional Services, and more.

Required Skills & Experience:

Bachelor’s degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science. Master’s degree preferred.

2-7 years of experience related to analytics work or equivalent combination of education and experience

Previous healthcare related industry experience a plus

Experience with data manipulation tools such as Python; data visualization tools such as Tableau; and data extraction via querying languages (SQL)

Knowledge of all Microsoft Office applications, including Word, Excel, and PowerPoint

Ability to meet deadlines, work with tight schedules, and manage multiple priorities under minimum supervision

Excellent verbal and written communication skills

Strong analysis skills

Strong attention to detail

Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad hoc data mining purposes.

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