Data Scientist 2

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. 

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood. 

• Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. 

• Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. 

• Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. 

• Dare to innovate: We challenge the status quo with creativity and innovation as our true north. 

• Better together: We check our egos at the door. We work together, so we win together. 

Serve as a business partner to internal and external stakeholders, for data-analytic deliverables (including R&D) that are not automated or routine in nature, and require programming and data analysis expertise. Develops data assets for analytic deliverables, including basic data analysis, advanced statistical analyses (e.g. regression-type models and data mining methods), reporting, and visualization (e.g. reports, dashboards, info-graphics). Perform analytic work, including executing analyses, producing reports and other analytic deliverables.

Duties and Responsibilities

• Under direction of a technical lead, in collaboration with other business partners serving the analytic client, execute on deliverables requirements.
• Independently produce analysis (e.g. basic data analysis, statistical test, statistical modeling) or analytics (e.g. a dashboard), with appropriate technologies (e.g. Excel, Tableau, R, Python, Tableau, PowerBI)
• Independently write programs in appropriate language (e.g. R, SQL, SPSS, SAS), to develop data (sets) needed to support deliverables.
• Produce written reports, for internal constituents, which summarize analytic deliverable; including methods, interpretations, and business implications
• Support ad-hoc analytic advisory support to internal clients (e.g. sales, account management, advisory services, product management, and consulting), including answering data and methodology questions, interpretation of results and
• Stay abreast of contemporary analytics, such as big data technologies (e.g. cloud services, Hadoop, OLAP tools), analytic technologies (e.g. R, Python, PowerBI, Tableau, etc.), and statistical (including data-mining) methods.
• Stay abreast of healthcare industry issues affecting PG clients (e.g. VBP, HCAHPS, “Population Health”).
• Independently, and in collaboration with business partners (e.g. Strategy, Development, Product Management, and CRA) prototype scalable, novel analytic solutions that address important business questions.
• Independently, develop and prototype novel data sets that integrate existing PG or external data, for the purpose of developing novel analytic solutions.
• Ensure accuracy and quality of deliverables
• Exhibit interpersonal skills that foster collaborative working relationships.
• Document work.

Qualifications include:

• 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

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. 

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/