Business Operations Research Analyst

4 weeks ago

Boston, United States RxSense Full time
Job DescriptionJob Description

RxSense is a high-growth healthtech company empowering clients and consumers with technology to access lower cost prescription drugs. Its transformative cloud-based enterprise platform enables clients to take control of their pharmacy benefits with fast, flexible and customizable solutions and real time data insights to improve operational and financial performance -- and ultimately deliver better care to patients nationwide. RxSense also owns and operates SingleCare, a free prescription savings service that offers consumers access to consistently low prices on prescription drugs. Through its partnerships with the country's largest pharmacies and grocers, including CVS, Walgreens, Walmart, Kroger and Albertsons, SingleCare improves access and adherence to more affordable medications and has helped millions of Americans collectively save over $8 billion on their medications.

RxSense is a great place to work Our company has earned recognition as one of Fast Company's Most Innovative Companies, Forbes' Top Startup Employers, Modern Healthcare's Best Places to Work in Healthcare, and Inc's Best in Business and Best Workplaces.

  • Job Title: Business Operations Research Analyst
  • Employer: RxSense Holdings LLC
  • Applicants are to send Resumes to: HR Manager Taneisha Hylton, thylton@rxsense.com
  • Geographic Location of Job Opportunity: The employee can telecommute from any location within the U.S.
  • Job Description/Requirements:
    • Research and analyze solutions to extend the company's cloud-based date warehouse;
    • Design and build relational and dimensional data models using ER modeling techniques that includes but not limited to data warehouses and transactional systems;
    • Collaborate with operations and business leaders to understand management objectives and apply them as basis for the utilization and analysis of data;
    • Retrieve and manipulate data, including data wrangling, data curation, gap analysis, and impact analysis, using SQL and Python;
    • Build statistical algorithms and data models to identify and analyze complex data patterns, solve business questions and predict future trends;
    • Work with development team to design informative data visualizations; communicate data insights to business stakeholders to identify problems and advise in making informed business decisions; and
    • Work with project management to prioritize data and reporting needs.

Employer requires a Master's degree in Business Analytics, Data Science, or a closely related field. Additionally, the successful candidate must have advanced knowledge of the following:

  1. Relational database modeling with normal form schema designs, dimensional modeling techniques including but not limited to star and snowflake schema designs, data modeling and principles of ER modeling;
  2. Descriptive statistical methods including but not limited to measures of dispersion, measures of position and inferential statistical methods including but not limited to predictive methods and hypothesis testing;
  3. Creating and presenting data visualizations to show business performance indicators to evaluate opportunities and risks;
  4. Data retrieval and manipulation including data profiling, data lineage, data assurance, data disposal, data imputation and gap analysis using SQL and Python.

RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

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