Data Analyst- CV

Company Description

Payer Sciences is an analytics-based marketing firm that helps pharmaceutical and biotechnology clients with payer-related opportunities and challenges. 

The Payer Sciences team uses data-driven insights to generate innovative strategic recommendations to help our pharmaceutical clients navigate today’s complex and dynamic managed care marketplace. By harnessing existing data sets and utilizing advanced analytics to extract insights into payer behavior, we support our clients’ pricing, contracting, and market access strategies and develop creative and impactful ways to communicate the value of their products to reimbursement stakeholders. Our goal is to enable our clients to target and optimize interactions with reimbursement stakeholders and maximize their commercial success through optimal coverage. Our evidence-based, analytics-driven approach to address payer-related challenges combines our considerable expertise in data analytics and insight into pricing and market access to deliver wide-ranging research, analysis, insight generation, and strategic reporting.

Job Description

Job Responsibilities:

· Conduct full production support and maintenance of reporting applications

· Work with both internal and external business owners to identify the reporting and analysis needs of our clients, and translate these requirements into custom tools and analyses that meet the business objective(s)

· Provide post-implementation support to client end users

· Process, validate, maintain and integrate large data sets from multiple sources

· Ensure the accuracy and validity of both source data and analytic output

· Prepare clear documentation of project specifications, program development and revisions

· Proactively anticipate and identify time management issues and work with team members to address them

Qualifications

· Minimum of a BS degree in a technical or quantitative discipline

· 3+ years relevant business experience

· Pharmaceutical/biotech industry experience strongly preferred

· Advanced knowledge of SAS

· Flexible and collaborative style

· Professional maturity, discipline and a positive attitude

· Must work independently, but interact well with others in a team environment

· Must be able to adapt and work efficiently under evolving demands and priorities

Additional Information

· Knowledge of and experience with data standardization and cleaning techniques

· Ability to efficiently process and integrate large, complex datasets

· Strong analytical and problem solving skills, with good attention to detail

· Excellent oral and written communication skills

· Self-motivated, ability to work independently

· Ability to use creative thinking to develop innovative solutions to business problems

· Strong project management skills, including the ability to manage multiple projects simultaneously

Additional Information:

· Position is full time on site at our office in Morristown, New Jersey

· Relocation is not offered