Data Scientist II

🕒 March 25

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Press Ganey

1001 - 5000 employees

Founded 1985

⚕️ Healthcare Insurance

Healthcare Insurance • Analytics • Consulting

Press Ganey is a leading provider of patient experience measurement, performance analytics, and strategic advisory solutions for healthcare organizations. The company focuses on improving the overall healthcare experience through advanced analytics and human-centered insights, helping clients enhance patient and workforce safety, employee experience, and organizational growth. With a data-driven approach, they provide interactive dashboards, industry benchmarks, and actionable insights to drive measurable impact across the healthcare sector. Press Ganey collaborates with healthcare providers, health plans, and life sciences organizations to transform care delivery and improve human experiences in healthcare.

📋 Description

• Serve as a business partner to internal and external stakeholders for data-analytic deliverables • Develop data assets for analytic deliverables, including basic data analysis, advanced statistical analyses, reporting, and visualization • Independently produce analysis or analytics with appropriate technologies • Write programs in appropriate language to develop data needed to support deliverables • Produce written reports summarizing analytic deliverables, including methods, interpretations, and business implications • Support ad-hoc analytic advisory support to internal clients • Stay abreast of contemporary analytics, analytic technologies, and healthcare industry issues • Prototype scalable, novel analytic solutions and develop novel data sets for developing analytic solutions. • Ensure accuracy and quality of deliverables • Document work.

🎯 Requirements

• Bachelors or higher in Statistics, Engineering, Economics, or other quantitative discipline • 1-3 years experience in a data-analytic intensive role • Intermediate to advanced proficiency with SQL, SAS, R, STATA or other high level data programming language • Basic to intermediate proficiency with Python, PHP, Perl, VB, JavaScript, C++ or other programming language • Formal training or extensive applied experience with advanced statistical methods such as regression-type modeling, data-mining methods (e.g. classification trees) • Proficiency with data visualization • 1-3 years developing data that merges relational tables, either within a relational database or related “big data” environments (e.g. SQL Server, Hadoop) • 1-3 years of real world data and statistical analysis experience • 1-3 years project management experience, including demonstrated success with cross-functional collaboration • 1-3 years implementing novel analytics with minimal supervision.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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