Assistant Vice President of Data Analysis

We have a hybrid work arrangement.

EOE: race/color/religion/sex/sexual orientation/gender identity/national origin/disability/vet

ABOUT US:

Tennessee Hospital Association (THA) is a not-for-profit membership association, to serve as an advocate for hospitals, health systems, and other healthcare organizations and the patients they serve. The Association also provides education and information for its members and informs the public about hospitals and healthcare issues at the state and national levels

JOB SUMMARY: The Assistant Vice President of Data Analysis provides both senior leadership and hands on execution for the development, management, and delivery of data analysis and reporting to support THA's advocacy efforts, internal operations, and member requests. This position serves as THA's senior expert on hospital and healthcare data, ensuring accuracy, compliance, and actionable insights for decision-making.

In a small and highly collaborative organization, the AVP serves as both a leader and a tactical contributor - balancing planning, stakeholder engagement, and team leadership with direct involvement in data analysis, reporting, and project execution.

ESSENTIAL FUNCTIONS OF THE JOB: 

1. The ability to adapt to a changing work environment and meet challenges presented throughout the day.

2. Serve as THA's senior authority on healthcare data, advising executive leadership and contributing data-driven insights that shape policy positions and organizational initiatives.

3. Represent THA as a data subject-matter expert with member hospitals, state agencies, external partners, and industry groups.

4. Respond promptly to data inquiries to assist internal teams and hospital stakeholders.

5. Lead and directly contribute to complex data analysis, modeling, and interpretation of hospital patient-level, financial, and operational data.

6. Translate business needs into the design and development of analytic solutions, including reports, visualizations, and advanced analyses.

7. Serve as the primary point of contact for new projects, ensuring timeliness, quality, and alignment with organizational goals.

8. Lead project planning by developing requirements, analytic plans, timelines, and related deliverable management materials.

9. Collaborate with internal and external stakeholders on data logistics, including transfers, structures, ETL processes, and data governance.

10. Conduct quality assurance and quality control (QA/QC) reviews of data, methods, and reporting output to ensure accuracy and reliability.

11. Present analyses and reports to internal and external stakeholders, clearly communicating key findings and actionable recommendations.

12. Evaluate data systems, workflows, and processes, offering innovative ideas for improvement and greater efficiency.

13. Oversee and prioritize multiple concurrent projects to ensure timely delivery of high-quality analytic products.

14. Must be available in the office during regular office hours unless job responsibilities require otherwise or hybrid work arrangement is in place. 

ORGANIZATIONAL STRUCTURE: (Positions reporting directly to this position.)

None

GUIDANCE & DIRECTION: (Policies, precedents or procedures that guide this work.)

1. Health Insurance Portability and Accountability Act (HIPAA)

2. THA Information Security Policies and Procedures

Requirements

Educational and Experience Requirements Needed to Perform the Duties of the Job:

1. Bachelor's degree with a minimum of 5 years of experience in data analysis, epidemiology, statistics, data science or related fields required

2. Experience working in a healthcare setting strongly preferred

3. Consideration given to IT certifications, Project Management Professional or similar certification, healthcare or public health certifications, or experience working in a department of health

Skills Required to Perform the Duties of the Job:

1. Proficiency in SAS and/or SQL with a minimum of 3 years of experience in complex data querying and analysis.

2. Hands-on experience with data visualization and reporting tools such as Power BI, Tableau, SSRS, R, or Python.

3. Strong knowledge of UB-04 claims data, including ICD-10, DRGs, HCPCS, and CPT coding standards.

4. Acute attention to detail and commitment to quality assurance/quality control (QA/QC).

5. Demonstrated planning, priority-setting, and project management skills, with proven ability to manage multiple projects and resources concurrently.

6. Excellent verbal and written communication skills, with the ability to build effective relationships across clinical, technical, and non-technical stakeholders.

7. Highly motivated, collaborative, and able to work effectively in cross-functional teams.

8. Strong organizational and time management skills, with the ability to adapt to shifting priorities.

9. Knowledge of data governance, privacy, and security practices, including HIPAA compliance.

10. An understanding of healthcare operations, reimbursement models, and financial drivers.

11. Ability to operate effectively at both a strategic and tactical level in a small, fast-paced organization.