Accepting applications for a Data Analytics Supervisor

What does a Data Analytics Supervisor do?

• Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD).
• Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance.
• Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources.
• Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders.
• Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements.
• Validates data accuracy and assists with identifying reporting, data quality, and system concerns.
• Responds to questions from county boards, providers, internal staff, and other stakeholders.
• Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making.
• Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.
• Develops and maintains documentation, report definitions, business rules, and reporting standards.
• Participates in office hours and provides guidance and support to report and dashboard users and stakeholders.
• Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.
• Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.
• Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.
• Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.
• Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.
• Oversees data analytics college intern.
• Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.
• Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.
• Performs other related duties as assigned.

At the State of Ohio, we take care of the team that cares for Ohioans. We provide a variety of quality, competitive benefits to eligible full-time and part-time employees*. For a list of all the State of Ohio Benefits, visit our Total Rewards website ! Our benefits package includes:

• Medical Coverage
• Free Dental, Vision and Basic Life Insurance premiums after completion of eligibility period
• Paid time off, including vacation, personal, sick leave and 11 paid holidays per year
• Childbirth, Adoption, and Foster Care leave
• Education and Development Opportunities (Employee Development Funds, Public Service Loan Forgiveness, and more)
• Public Retirement Systems ( such as OPERS, STRS, SERS, and HPRS ) & Optional Deferred Compensation ( Ohio Deferred Compensation )

*Benefits eligibility is dependent on a number of factors. The Agency Contact listed above will be able to provide specific benefits information for this position.

Qualifications

72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.

OR

Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.

OR

Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques.

OR

Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or training in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques.

OR

Equivalent of Minimum Class Qualifications For Employment noted above.

Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation