Data Quality Analyst
Posted on 9/7/2023
Signify Health

1,001-5,000 employees

Healthcare platform optimizing value-based payment programs
Company Overview
Signify Health stands out as a leading healthcare platform, utilizing advanced analytics and technology to drive value-based payment programs, aligning financial incentives with patient outcomes. The company's commitment to holistic care coordination, risk management, and cost-saving measures, coupled with a focus on home-based services, positions it as a pioneer in the industry. With a risk-sharing model that ensures mutual success, Signify Health offers a comprehensive suite of services, expertise, and tools, demonstrating a proven track record in powering success in value-based programs and risk arrangements.
Data & Analytics

Company Stage

Series B

Total Funding





Dallas, Texas

Growth & Insights

6 month growth


1 year growth


2 year growth

Dallas, TX, USA
Experience Level
Desired Skills
Data Analysis
Power BI
Business & Strategy
  • At least 1 year of working on data analytics or data quality using existing software or by writing SQL scripts
  • Good communicator (written and oral) of data-related topics
  • Experience or desire to work across multiple workstreams or data teams
  • Experience in data quality with large data sets
  • Experience in using tools such as Alteryx, PowerBI, DBT, or similar
  • Some experience with healthcare data is preferred
  • Work with team members in understanding and conducting data quality activities
  • Work with data stakeholders to translate business requirements into data investigations, troubleshoot existing logic, develop new logic, conduct drill downs, and implement updates
  • Work with team leads to plan and prioritize workload
  • Assist in collecting and translating data findings into data quality monitoring metrics and logic
  • Use tools to edit existing logic, write new logic to calculate metrics, conduct investigations
  • Assist in rolling out new initiatives associated with improving overall quality and processes