Data Analyst

RxSensePrinceton, NJ

About The Position

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.

Requirements

  • Bachelor’s in mathematics, Computer Science, Information Management or Statistics.
  • 2 + years of relevant experience in the PBM and/or Health Plan Experience.
  • Expertise in data models and data modelling.
  • Knowledge and experience in process modelling.
  • Ability to understand the business context and underlying processes, and to correlate them to the data.
  • Deep knowledge and experience with data retrieval and manipulation with SQL queries.
  • Experience with reporting packages (e.g. Qlik, Tableau) and statistical methods to analyze data and generate useful business reports.
  • Familiarity with data warehouse architecture (Snowflake, MongoDB)
  • Experience in working with large datasets and normalized pharmacy schemas
  • Familiarity with API’s
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication skills with proven ability in requirements gathering, report writing and presenting findings.

Nice To Haves

  • Post graduate degree preferred.

Responsibilities

  • Interpret data, analyze results, and provide ongoing reports.
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Work with business counterparts to understand the business context and requirements and apply them as a basis for the utilization and analysis of data.
  • Gain a deep understanding of the data model, critical data entities and data elements in the data warehouse, data marts, and related databases.
  • Acquire data from primary or secondary data sources for the purpose of analysis and reporting to business stakeholders.
  • Build client facing output format and support automation for repeatable reports
  • Perform root cause analysis on data issues or anomalies, and communicate findings clearly
  • Contribute to developing scalable, self-service BI dashboard (e.g., in Qlik, or other BI tools)
  • Collaborate cross-functionally to improve data pipelines, processes, and data governance

Benefits

  • Equal Opportunity and Affirmative Action employer
  • Recruitment process is free from discriminatory hiring practices
  • Qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.
  • Qualified applicants are not discriminated against on the basis of disability or protected veteran status.
  • Belief in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
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