Adult Protective Services Data Analyst

DPH works with our local and tribal public health partners, and community groups statewide, on a wide variety of programs and services that protect the health of Wisconsin residents.

This position offers the option to work remotely up to 5 days per week and will be headquartered at one of the DPH central or regional offices. You must have access to both a private workspace and high-speed internet if working remotely. A greater in-office presence may be required periodically for meetings, events, training, onboarding, or other operational needs. This position will work daytime hours, Monday through Friday.

• Top rated health plan options starting at $47/month for single plans and $117/month for family plans, after 2 months of state service.
• Several flex spending accounts: medical, dependent care, commuter, parking and High-Deductible Health Savings.
• A free and confidential employee assistance program that offers employees and their immediate family dependents a variety of tools, resources, and professional consultation services to support their health, goals, and overall well‑being.

As the APS Data Analyst, you will provide analytic resources to support, monitor and evaluate the Office on Aging program, and expand the practice of data‑driven program planning and evaluation across Section and Bureau program areas.

Responsibilities include:

• Planning, developing, managing, and analyzing administrative, program activity, and incident report databases for the Office on Aging especially related to APS programs.
• Providing program information and consultation essential to planning and policy development, grant writing, budgeting, evidence‑based practice and reporting for state government programs and federal programs administered by the state.
• Performing data analysis and writing to support program grant applications.
• Identifying and developing new data sources for program evaluation, applying advanced statistical research methods to new and existing data, and serving as an overall expert on evidence-based program planning and evaluation, focused on the outcomes of program activities and services.
• Establishing and maintaining positive, professional working relations with staff involved in related activities, and communicating analytic plans, procedures, and results to various audiences in both written and oral formats.
• Reviewing and abstracting information from death certificates, medical and hospitalizations records, autopsies, social service records and other documents to create case materials for review by the Wisconsin MMR Team.

The starting pay for this position is between $40.25 to $44.00 per hour (approximately between $83,700 and $91,500 per year) depending on qualifications, plus excellent benefits. A 12‑month probation period is required.

Pay for current or former employees is set based on the rules that apply to compensation for the applicable transaction. This position is classified as a Research Analyst – Advanced and is in pay schedule and range 08/03.

All applicants who may be appointed to this position will be required to allow DHS to conduct a background check to determine whether the circumstances of any conviction may be related to the job being filled.

For positions that allow remote working flexibility, working outside of Wisconsin or in bordering cities will not be allowed except in extremely limited circumstances due to the need to report to an office location in Wisconsin on short notice.

DHS does not sponsor work visas for this position, thus, in compliance with federal law, selected candidates will be required to verify eligibility to work in the United States by completing the required I-9 form upon hire. DHS is not an E-Verify employer nor a STEM-OPT eligible employer.

Minimally qualified applicants will have all of the following:

• Experience researching and evaluating design and methodology using quantitative and qualitative data, including survey research and statistical analysis techniques.
• Experience with methods of descriptive and causal statistical analysis using databases with tens of thousands of rows, or more.
• Experience writing and giving oral…