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 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.

The Program Director of Data Science will oversee and mentor this role, including task guidance and constructive feedback. This position is a great opportunity for career growth in data science, statistics,

The role is to report to the office 2 days per week in person, with the allowance for occasional exceptions. It is preferred this position reports to the Washington, D.C. office, but for the right candidate, this can be the Oakbrook Terrace, IL office.

1. Use scripting languages, such as R, Python, and SQL, to build data pipelines to create analytical datasets. Utilize data management and engineering tools and best practices to the extent feasible.
2. 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.
3. Perform data analysis, including descriptive statistics and at times more sophisticated statistical analyses. Go above and 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.
4. Develop effective dashboards and reports in which the material produced significantly enhances storytelling, understanding, and interpretation of trends and patterns of business importance.
5. 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.
6. 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.
7. 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.
8. 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.

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

Requirements:

1. Three to five years of experience in performing data management and/or statistical tasks. Graduate training can substitute for years of professional experience. Relevant internship or research experience is eligible.
2. Fluency in R and/or Python for data science tasks.
3. Proven experience successfully completing data deliverables, such as data pipelines and analytical output (e.g., reports, visualizations, dashboards)
4. Ability to create custom data visualizations and interpret results.
5. Proficiency in core statistical concepts including: standard errors, hypothesis testing, bias-variance tradeoffs, and regression modeling.
6. Strong attention to detail and commitment to accuracy.
7. Willingness to learn and contribute to a collaborative team environment.

Preferences:

8. Experience with SQL or more database technologies, big-data methodologies and cloud methodologies is preferred. Understanding of relational database concepts is essential.
9. Skills to develop reproducible reports using tools like R Markdown, Quarto, or Jupyter Notebooks.
10. Proficiency in development of interactive dashboards using tools such as PowerBI or Shiny.
11. Use of Git or other version control software for code development and collaboration.
12. Data engineering and software engineering skills such as automation, data pipeline orchestration, data modeling, use of Databricks and related tools, etc. are valued.
13. Mastery of core statistical concepts as well as knowledge of quality measure risk-adjustment, reliability, validity, and machine learning.
14. Bringing growth mindset, enthusiasm, and compassion to your work and interactions with others
15. Experience with healthcare domain is a plus, including knowledge of EHR and/or claims data, as well as health data standards and terminologies such as CQL, HL7.

We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our Joint Commission Career Page 

This job description is intended to describe the general nature and level of work performed by an employee assigned to this position. The description is not an exhaustive list of all duties, responsibilities, knowledge, skills, and abilities, and working conditions associated with this position. All requirements are subject to possible modification and reasonably accommodate individuals with disabilities.