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Hr Analytics Jobs in Michigan (NOW HIRING)

Systems Analyst

Detroit, MI · On-site

$80 - $110/hr

HR@MagnumopusIT.com What we look out for System Analyst :BS/equiv & 5 yrs exp w/ IBM DB2, IBM Tivoli Storage Productivity Center (TSPC\TPC), Backup's, SAN AS Storage Tech's, EMC VMax/DMX/VNX/Clariion ...

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Payroll Analyst

Detroit, MI · On-site

$34 - $36/hr

The Payroll Analyst will work closely with HR, Benefits, Finance, Accounting, employees, and third-party payroll providers to maintain payroll accuracy and resolve complex payroll issues. The ...

Escalate high-risk cases and policy exceptions to the appropriate Cybersecurity, Legal, HR, Privacy ... Strong analytical, investigative, documentation, and communication skills. * Ability to work with ...

Additional Incentive- $50/hr for every hour billed over 28 a week. * Minimum of two years of ... Analysis Certification Board. * Train and supervise staff. Benefits: * 401(k)/4% Match * Dental ...

You will partner closely with HR, Finance, Payroll, and other business stakeholders to configure ... Analyze system updates and recommend improvements to reporting and integrations Additional ...

You will partner closely with HR, Finance, Payroll, and other business stakeholders to configure ... Analyze system updates and recommend improvements to reporting and integrations Additional ...

Job Summary: The Credit Analyst manages the full scope of collections for assigned accounts to ... National Range: $28.85/hr - $33.66/hr Maryland Range: $28.85/hr - $33.66/hr NYC/Long Island ...

Lead and support HR-related projects, managing the execution, communication, and delivery of key ... Excellent problem-solving, analytical, and organizational skills. * Familiarity with short and ...

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Payroll Analyst

Detroit, MI · On-site

$30 - $38/hr

Detroit, MI ( Hybrid) Contract Duration : 20 Months Pay Range : $35 -$38/hr.on W2 without benefits * The Payroll Analyst is responsible for the accurate and timely processing of payroll for employees ...

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Hr Analytics information

See Michigan salary details

$29.2K

$68.7K

$101.1K

How much do hr analytics jobs pay per year?

As of Aug 20, 2026, the average yearly pay for hr analytics in Michigan is $68,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $82,800.00 per year, depending on experience, location, and employer.

What is HR Analytics?

HR analytics, also known as people analytics, is the process of collecting, analyzing, and interpreting data related to human resources in order to improve workforce performance and organizational outcomes. It involves using data-driven methods to gain insights into areas such as recruitment, employee engagement, retention, and productivity. HR analytics helps organizations make informed decisions about their workforce by identifying trends, predicting future outcomes, and measuring the effectiveness of HR initiatives.

What are the key skills and qualifications needed to thrive as an HR Analytics professional?

To thrive as an HR Analytics professional, you need strong data analysis skills, a solid understanding of HR processes, and a relevant degree such as in human resources, statistics, or business. Proficiency in HR information systems (HRIS), data visualization tools (like Tableau or Power BI), and statistical software (such as R or Python) is typically required, along with certifications in analytics or HR. Critical thinking, effective communication, and problem-solving are essential soft skills for translating data insights into actionable HR strategies. These capabilities are vital for making data-driven decisions that optimize workforce planning and organizational performance.

How does an HR Analytics professional typically collaborate with other departments to drive data-informed decisions?

HR Analytics professionals often work closely with teams such as talent acquisition, learning and development, and business operations to translate workforce data into actionable insights. They regularly participate in cross-functional meetings to understand departmental challenges and provide data-driven recommendations for improving employee engagement, retention, and productivity. By creating dashboards and reports tailored to different stakeholders, HR Analytics specialists help ensure that people-related strategies align with broader business goals, fostering a culture of evidence-based decision-making.

What is the difference between Hr Analytics vs HR Data Analyst?

AspectHr AnalyticsHR Data Analyst
Primary FocusStrategic insights and decision-making based on HR dataData collection, cleaning, and analysis of HR datasets
Skills RequiredData analysis, HR knowledge, strategic thinkingData analysis, statistical skills, HR understanding
Tools UsedAdvanced analytics tools, BI platformsExcel, SQL, statistical software
Work EnvironmentStrategic teams, HR departments, analytics projectsHR departments, data teams, reporting tasks

While both roles involve working with HR data, Hr Analytics focuses on deriving strategic insights to influence HR policies and business decisions. HR Data Analysts primarily handle data collection and analysis tasks. The roles often overlap but differ in scope and strategic impact.

Are HR analysts in demand?

HR analysts are in high demand as organizations increasingly rely on data-driven decision-making to improve workforce management, recruitment, and employee engagement. Skills in data analysis, HRIS systems, and tools like Excel or Tableau enhance job prospects in this field, which is expected to grow alongside the expanding use of HR analytics across industries.

Does HR analytics pay well?

HR analytics professionals typically earn competitive salaries that vary based on experience, education, and location. Entry-level roles may start around $60,000 annually, while experienced analysts with advanced skills in data analysis and tools like Excel or Tableau can earn over $100,000 per year.

What do HR analytics do?

HR analytics involves collecting and analyzing workforce data to improve HR decision-making, such as talent acquisition, employee engagement, and retention strategies. HR analysts use tools like Excel, HRIS systems, and data visualization software to identify trends and support strategic planning.

What are the most commonly searched types of Hr Analytics jobs in Michigan?

The most popular types of Hr Analytics jobs in Michigan are:

What job categories do people searching Hr Analytics jobs in Michigan look for?

The top searched job categories for Hr Analytics jobs in Michigan are:

Infographic showing various Hr Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 20% Part Time, 3% Temporary, 5% Contract, and 2% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $68,718 per year, or $33 per hour.

EEO Compliance, AI & Analytics Specialist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 17 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

Stellantis is seeking an EEO Compliance, AI & Analytics Specialist, who will have responsibility for ensuring compliance with federal, state, and local EEO laws through workplace investigations, data analytics, compliance monitoring, and strategic reporting. This role combines traditional EEO case management with AI-enabled technologies and workforce analytics to identify risk trends, improve reporting, enhance case management processes, and support proactive compliance and workplace culture initiatives. Partners closely with HR, Labor Relations, Legal, Operations, and business leaders to investigate workplace concerns and provide data-driven insights that strengthen organizational compliance and equity programs.
Key Responsibilities:
  • Conduct impartial investigations involving discrimination, harassment, retaliation, accommodations, and workplace conduct concerns.
  • Develop investigative plans, conduct interviews, analyze evidence, and prepare investigation reports.
  • Maintain case documentation and ensure compliance with employment laws and company policies.
  • Utilize AI-enabled tools to improve case management, trend analysis, workflow efficiency, and reporting accuracy.
  • Evaluate AI-generated insights for fairness, accuracy, legal defensibility, and Responsible AI compliance.
  • Analyze workforce and case data to identify trends, risks, policy gaps, and workplace culture indicators.
  • Develop dashboards, KPIs, executive reports, and presentations using Power BI, Excel, and other analytics tools.
  • Provide data-driven recommendations to improve employee experience and organizational effectiveness.

Core Competencies:
Integrity, strategic thinking, analytical capability, sound judgment, collaboration, executive communication, and continuous learning. Success is measured through investigation timeliness, compliance outcomes, reporting effectiveness, risk reduction, data quality, and AI governance compliance.
Basic Qualifications:
  • Bachelor's degree in HR, Business, Labor Relations, Data Analytics, Statistics, Legal Studies, or related field
  • Minimum of 5 years of experience in Employee Relations, Human Resources, Labor Relations, EEO Compliance, or Workplace Investigations
  • Experience conducting workplace investigations and preparing formal reports
  • Strong analytical, communication, project management, and problem-solving skills
  • Proficiency with Microsoft 365 tools, including Excel, Power BI, and PowerPoint
  • Ability to manage confidential and sensitive information

Preferred Qualifications:
  • Advanced degree or certifications in HR, Employment Law, Data Analytics, Business Intelligence, or AI
  • Professional certifications such as SHRM-CP / SHRM-SCP, EEO Investigator Certification, Data Analytics Certification, and/or AI Fundamentals Certification
  • Experience in manufacturing, unionized, or multi-site environments
  • Knowledge of EEO-related laws and regulations (Title VII, ADA, ADEA, FMLA, EEOC, OFCCP)
  • Experience with AI-enabled analytics, compliance monitoring, and AI governance practices

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