Data Analyst II

6 Month Remote Contractor Position - Potential FTE

The National Quality Forum (NQF), an affiliate of The Joint Commission (TJC), houses a Data and Analytics team that supports the analytical needs of NQF and TJC in advancing their shared mission of improving health care for all people. We support exciting initiatives that advance healthcare patient quality and safety through activities at both organizations. Our group works enterprise wide to support the development and application of data infrastructure and methods for quality measure development and implementation, quality improvement, program evaluation, and data visualization.

Our current work includes developing and supporting approaches to advance the use of next generation measures at scale, including outcome and patient-reported outcome measures calculated using clinical, claims, survey and other data, at scale in Joint Commission and other public and private programs to achieve high quality care for all people.

For the Data Analyst II position, we seek an intellectually curious team player who is passionate about working with data, enjoys developing data products in service of others, and cares to innovate in the healthcare quality space. The role primarily contributes to the data management, data analysis, and development of data dashboards and reports for quality measurement and data products. To thrive in the role, the candidates need to be detail-oriented in your conception and coding of data models, processes, and analyses, as well as have a strong foundation in statistical methodology.

This role contributes to helping researchers, product teams, and policymakers determine how quality measure data impacts health outcomes, disparities, patient safety, and affordability, hence we value both teamwork and interest in the subject matter. As part of a cross-functional, innovative team, the Data Analyst II will work to score, benchmark, and visualize quality measures, expanding the development and use of next-generation quality measures—high priority, low burden measures that improve equity, quality, and affordability—in Joint Commission programs and other scaled public and private payment and accountability programs.

• Use scripting languages, such as Python, and SQL, to build data pipelines to create analytical datasets. Utilize data management and engineering tools and best practices to the extent feasible.
• Design and perform data quality control into pipelines, ensuring results of data quality processes are documented and transparent. Take ownership of the accuracy and quality of your work.
• Perform data analysis, including descriptive statistics and at times more sophisticated statistical analyses. Go beyond not just to deliver output, but ensure team members understand the results, implications, and assumptions. Written, verbal, and visual communication are all key to success in this role.
• Develop effective dashboards and reports in which the material produced significantly enhances storytelling, understanding, and interpretation of trends and patterns of business importance.
• Collaborate across a multi-functional team to collectively define requirements (analytical plans, definition of key metrics, output format) of the work and ensure the resulting work meets the needs of end-users.
• Engage with team expertise and healthcare quality subject matter to strategize how to improve our key metrics definition, data strategy, analyses plans, and the implementation of each of these.
• Manage multiple projects and collaborate with multiple teams simultaneously, effectively managing priorities. A related need is to accurately estimate the time needed to address data needs and deliver results by deadlines. Work to deliver results on time and keep team members abreast of progress and delays.
• Steward data security throughout all aspects of our projects by use of procedures and best in concordance with our data governance policies’ legal and ethical requirements.

Bachelor's degree required with training and experience in data manipulation and analysis. The most relevant degrees include Statistics, Biostatistics, Data Science,…