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Workforce Analyst Jobs in Wisconsin (NOW HIRING)

The P&C Technology & Analytics Director - North America is responsible for executing the regional ... Translate workforce data into actionable insights to support business decisions. Stakeholder ...

Create and maintain reports, dashboards, metrics, and workforce analytics to support business and HR decision-making. * Develop and maintain executive dashboards and key performance indicators to ...

Main Responsibilities HR Operations & Workforce Administration * Maintain accurate HRIS records ... Analytics * Prepare and maintain routine HR dashboards and workforce reports (turnover, absenteeism ...

Objective The HR Operations Analyst provides professional level HR operational, analytical, and ... Main Responsibilities HR Operations & Workforce Administration * Maintain accurate HRIS records ...

Research and analyze workforce, labor market, policy,training,and credentialing trends toidentifygrowth opportunities and inform strategic direction * Build and manage relationships with workforce ...

Research and analyze workforce, labor market, policy,training,and credentialing trends toidentifygrowth opportunities and inform strategic direction * Build and manage relationships with workforce ...

Research and analyze workforce, labor market, policy,training,and credentialing trends toidentifygrowth opportunities and inform strategic direction * Build and manage relationships with workforce ...

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Workforce Analyst information

See Wisconsin salary details

$35.8K

$105K

$161.5K

How much do workforce analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for workforce analyst in Wisconsin is $105,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $129,700.00 per year, depending on experience, location, and employer.

How does a Workforce Analyst typically collaborate with operations and management teams to optimize staffing levels?

A Workforce Analyst regularly works with operations and management teams to ensure staffing aligns with business needs. They analyze historical data, forecast call volumes or workload, and adjust schedules in collaboration with team leaders. By providing actionable reports and recommendations, they help operations managers make informed decisions about hiring, overtime, and shift allocation. This close collaboration helps maintain service levels while controlling labor costs and improving overall team efficiency.

What is the difference between Workforce Analyst vs Data Analyst?

AspectWorkforce AnalystData Analyst
Required CredentialsBachelor's in Business, HR, or related field; often some experience in HR or workforce planningBachelor's in Statistics, Mathematics, or related field; strong data analysis skills
Work EnvironmentHR departments, staffing agencies, large organizations focusing on workforce planningVarious industries including finance, healthcare, tech; data-driven teams
Employer & Industry UsagePrimarily in HR, staffing, and workforce management sectorsAcross multiple industries requiring data interpretation and reporting

While both roles involve data analysis, Workforce Analysts focus on employee data, staffing, and workforce planning, whereas Data Analysts handle broader data sets across various business functions. The roles often overlap in skills but differ in their primary focus and application areas.

What are Workforce Analysts?

Workforce Analysts are professionals who collect, analyze, and interpret data related to an organization's workforce. Their main goal is to optimize staffing levels, improve scheduling, and ensure operational efficiency. They use various tools and software to forecast staffing needs, monitor performance metrics, and identify trends that can impact productivity. Workforce Analysts often work closely with management and human resources to support decision-making and strategic planning.

What are the key skills and qualifications needed to thrive as a Workforce Analyst, and why are they important?

To excel as a Workforce Analyst, you generally need strong analytical skills, proficiency in data interpretation, and a relevant degree such as in business, statistics, or human resources. Familiarity with workforce management software, advanced Excel, and reporting tools like Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating data into actionable insights. These competencies are crucial for optimizing staffing, improving productivity, and supporting evidence-based decision-making within organizations.

What Is a Workforce Analyst?

A workforce analyst works with human resources and management consultants to improve the operations within and customer experience provided by an organization. As a workforce analyst, your job duties include developing staff schedules, collecting staff performance data and customer feedback data, reviewing and analyzing relevant data to identify problem areas, and preparing workforce analysis reports for company leadership to inform their policies and decision-making processes. Your work helps determine the allocation of staff and resources as well as recruitment and professional development strategies.

What are the most commonly searched types of Workforce Analyst jobs in Wisconsin? The most popular types of Workforce Analyst jobs in Wisconsin are:
What are popular job titles related to Workforce Analyst jobs in WI? For Workforce Analyst jobs in WI, the most frequently searched job titles are:
AI Workforce Specialist

AI Workforce Specialist

Heartland Business Systems, LLC

Clinton, WI • On-site

Full-time

Posted 26 days ago


Heartland Business Systems rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

58th of 204 rated it services


Job description

Description:

Position Summary:


NOTE: Project up to 1 year of work.


The AI Workforce Specialist designs and delivers structured AI training programs for a customer office-based and computer-facing team members. This role helps participants build measurable proficiency in prompt engineering, workflow automation, data validation, analytics support, and responsible AI use. Success in this position is defined by the ability to translate business processes into practical AI-enabled learning experiences that improve efficiency, accuracy, and policy-aligned adoption. The role supports broader organizational transformation by helping customer team members safely integrate AI into daily work and sustain those capabilities over time.


Roles and Responsibilities/ Essential Functions:

  • Design and deliver structured AI workforce training curriculum through instructor-led sessions, workshops, labs, and applied coaching.
  • Assess employee readiness through diagnostic evaluations, prompt construction exercises, and baseline workflow performance measurements.
  • Develop and facilitate role-specific AI use cases that improve drafting, summarization, analysis, reporting, documentation, and decision-support workflows.
  • Guide customer team members in creating repeatable AI-assisted artifacts such as templates, standard operating procedures, checklists, prompts, and automation guides.
  • Ensure training and deployment activities align with governance, compliance, confidentiality, and responsible AI usage standards.
  • Measure post-training outcomes including attendance, competency completion, task-time reduction, error-rate improvement, supervisor validation, and operational follow-up.
  • Maintain training records, supporting documentation, and program materials needed for internal reporting, audit readiness, and continuous improvement.
  • Collaborate with business leaders, supervisors, and subject matter experts to prioritize workforce training needs and sustain AI adoption across departments.
  • Perform other duties as assigned by customer and/or business.


Requirements:

Competencies:

  • Analytical Skills: Analytical skills looks at the ability of the individual to gather raw data and to process that data into a meaningful form.
  • Coaching and Development: Coaching and development looks at the ability of an individual to provide guidance and feedback to help others strengthen specific knowledge/skill areas needed to accomplish a task or solve a problem.
  • Communication: Ability to promote understanding through exceptional written, oral, interpersonal, and presentation skills.
  • Detail Oriented: Detail orientation looks at the ability of the individual to pay meticulous attention to all aspects of a situation or task, no matter how small or seemingly unimportant.
  • Judgment: The skill of judgment looks at the ability of the individual to form sound opinions or make decisions by evaluating available information.
  • Organized: Organizational skills looks at the ability of the individual to be structured and methodical in working skills.
  • Problem Solving: Problem solving skills looks at the ability of the individual to recognize courses of action which can be taken to handle problems or potential problems, and applying contingency plans to solve those problems.

Required Experience:

  • 1+ years of experience delivering instructor-led training, workforce development, technical enablement, or AI-related business process support
  • Experience delivering instructor-led training, workforce development programs, or technical enablement initiatives
  • Experience using AI tools, workflow automation platforms, or analytics technologies in business or operational settings
  • Experience assessing learner progress, documenting outcomes, and supporting adoption of new technology-driven processes

Preferred Experience:

  • Experience supporting AI adoption within office-based, reporting, finance, logistics, human resources, sales, or similar business functions
  • Experience building reusable training assets, standard operating procedures, assessments, or role-based curriculum materials
  • Experience working within regulated, policy-driven, or compliance-sensitive environments where data governance is important

Required Skills, Education and/ or Certifications:

  • Bachelor’s Degree in Business or IT Related discipline or equivalent experience
  • Working knowledge of AI concepts, prompt engineering, workflow automation, and responsible AI practices
  • Strong facilitation, written communication, documentation, and analytical skills with the ability to teach technical concepts clearly

Preferred Skills, Education and/ or Certifications:

  • Certification or formal training in AI, data analytics, instructional design, workforce development, or change management
  • Experience with Microsoft Copilot, Power Automate, Power BI, or other approved enterprise AI and productivity platforms
  • Experience designing measurable training programs that include pre-assessments, post-assessments, and operational performance validation