Quest Analytics, LLC

HQ
Overland Park, KS, US
Total Offices: 2
156 Total Employees
Year Founded: 2003

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Jobs at Quest Analytics, LLC

Search the 5 jobs at Quest Analytics, LLC

Big Data • Healthtech • Information Technology • Analytics
The Sr. Software Engineer will contribute to the design and architecture of the software platform, help scale it, develop new features, and work on data and process automation. The role requires building tools for healthcare access, optimizing performance in C#, and creating REST APIs.
17 Hours Ago
Overland Park, KS, USA
Hybrid
Big Data • Healthtech • Information Technology • Analytics
The Sales Administrator will streamline sales operations, enhance customer satisfaction, and provide administrative support. Responsibilities include generating sales reports, collaborating on lead generation strategies, coordinating meetings, and serving as a liaison between sales and other departments.
17 Hours Ago
Overland Park, KS, USA
Hybrid
Big Data • Healthtech • Information Technology • Analytics
As the Manager of Talent Acquisition & Retention at Quest Analytics, you will develop and implement innovative strategies to attract and retain top talent in the healthcare software industry, manage the recruiting team, and enhance the candidate experience while advancing diversity and inclusion efforts.
3 Days Ago
Overland Park, KS, USA
Remote
Hybrid
Big Data • Healthtech • Information Technology • Analytics
As a Software Engineer at Quest Analytics, you will design and develop tools that improve healthcare access, contributing to platform architecture, scaling features, and automating processes. Ideal candidates need experience in C#, SQL, and web development, with strong communication skills for team collaboration.
Big Data • Healthtech • Information Technology • Analytics
Join Quest Analytics as a Director in the Network Analytics team to align, direct, and oversee the delivery of data, analysis, and insights for healthcare access. Responsibilities include deciphering analytic needs, managing stakeholder relationships, ensuring high-quality analytics, developing data accessibility requirements, and leading data analysts. Ideal candidates possess excellent organizational, analytical, and communication skills with a Master's degree in information systems.