HR Data & Analytics Specialist

SmithGroup Companies, Inc.

Ann Arbor (MI)

Hybrid

USD 73,000 - 88,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work environment
PTO and holidays
401(k) with match
Tuition reimbursement
Career development

Job summary

SmithGroup, the Ann Arbor office, is seeking a Human Resources Analyst to join our data-driven HR team. You will collect, validate, and analyze HR, payroll, and compensation data, building dashboards and reports with Power BI to deliver actionable insights for workforce planning and salary programs.

The ideal candidate will have 3–5 years in HR analytics, hands-on experience with HRIS (UKG Pro preferred), and strong Excel skills.

Qualifications

  • Bachelor's degree required in HR, Business, Data Analytics, or related field.
  • 3–5 years in HR analytics, compensation, HR systems, or similar.
  • Experience with HRIS platforms; UKG Pro preferred.
  • Hands-on in compensation programs, benchmarking, salary surveys.

Responsibilities

  • Collect, validate, and analyze HR, payroll, compensation, and workforce data.
  • Create recurring and ad hoc reports using HRIS tools, Excel, Power BI.
  • Develop and maintain Power BI dashboards and analytics tools.
  • Support compensation programs through market pricing and benchmarking.
  • Assist with annual merit reviews and compensation cycles, including data prep and reporting.
  • Audit HR and compensation data for accuracy and reliability.

Skills

Advanced Excel
Power BI
Data analysis
HR knowledge
Communication

Education

Bachelor's degree in HR/Business/Data Analytics

Tools

UKG Pro
Power BI

Job description

SmithGroup, the Ann Arbor office, is seeking a Human Resources Analyst to join our data-driven HR team. You will collect, validate, and analyze HR, payroll, and compensation data, building dashboards and reports with Power BI to deliver actionable insights for workforce planning and salary programs.

The ideal candidate will have 3–5 years in HR analytics, hands-on experience with HRIS (UKG Pro preferred), and strong Excel skills.

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