HR Analytics Intern: Build Data Dashboards (Part-Time)

Mab-Community-Services

Brookline (MA)

On-site

USD 25,000 - 39,000

Part time

14 days+
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Job summary

MAB Community Services is seeking an HR Analytics Intern to support the HR and Talent Acquisition teams in Allston, MA. This part-time, in-office role offers hands-on experience transforming HR data into actionable dashboards and reports.

You will build Power BI visuals, analyze workforce metrics, and contribute to budgeting and planning efforts while maintaining data accuracy and confidentiality. Ideal for students or recent graduates pursuing HR, analytics, or finance-related studies.

Qualifications

  • Pursuing or recent graduate in Human Resources, Business Analytics, or related field.
  • Experience with Power BI to create dashboards and visualizations.
  • Advanced Excel skills with pivot tables, formulas, charts, and data analysis.

Responsibilities

  • Build and maintain Power BI dashboards and visual reports for HR metrics.
  • Analyze workforce data (overtime, staffing, longevity, turnover, vacancies, recruitment metrics, labor costs).
  • Assist with budget tracking and workforce planning reports.
  • Compile HR and Talent Acquisition data from multiple sources.
  • Create reports and presentations for HR leadership and executives.
  • Ensure data accuracy and assist with data validation.

Skills

Power BI
Advanced Excel
Data analytics
Attention to detail
Communication

Education

Human Resources / Analytics degree
Data Analytics
Business Administration

Tools

HRIS
Payroll systems

Job description

MAB Community Services is seeking an HR Analytics Intern to support the HR and Talent Acquisition teams in Allston, MA. This part-time, in-office role offers hands-on experience transforming HR data into actionable dashboards and reports.

You will build Power BI visuals, analyze workforce metrics, and contribute to budgeting and planning efforts while maintaining data accuracy and confidentiality. Ideal for students or recent graduates pursuing HR, analytics, or finance-related studies.

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