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.
Position Summary:
We are seeking a Data Analyst who will be responsible for delivering on-demand, automated, and customizable reporting and insights for internal stakeholders, regulatory entities, and external clients. The ideal candidate will combine strong technical skills with pharmacy claims knowledge and a passion for transforming raw data into actionable intelligence.
Essential Duties and Responsibilities:
Qualifications:
Salary Range: $80,000 - $100,000
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.
RxSense is a healthcare technology company providing cloud-based solutions for pharmacy benefits administration and affordable prescription drugs directly to consumers through SingleCare, enhancing healthcare transparency and accessibility.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's