Workday HR Analytics & Reporting Specialist

Northeastern University

Boston (MA)

Hybrid

USD 88,000 - 124,000

Full time

9 days ago
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Job summary

Northeastern University in Boston is seeking a Reporting & Data Analyst for HR Platforms to support Workday HCM/Payroll reporting, SQL queries, and data analytics. You will translate complex business requirements into accurate, actionable workforce insights, partnering with HR, Payroll, Finance, and college/division HR stakeholders.

This hybrid role requires strong Excel and SQL skills, attention to data integrity, and the ability to test, validate, and resolve data issues in a high-volume

Qualifications

  • Degree in a related field is required.
  • 3–5 years in HR data analytics, HR systems, or reporting.
  • Strong Workday HCM/Payroll understanding and reporting experience.
  • Experience with large HR datasets and data quality issues.
  • Prior higher education HR experience is preferred.

Responsibilities

  • Develop, maintain, and enhance Workday HCM/Payroll reports and SQL queries.
  • Analyze HR and Payroll data to identify trends and discrepancies.
  • Partner with stakeholders to translate requirements into reporting solutions.
  • Provide advanced Excel-based analysis and data reconciliation.
  • Support testing/validation during Workday releases and changes.

Skills

Analytical thinking
Excel proficiency
SQL proficiency
Workday HCM/Payroll knowledge
Data analytics
Communication skills
Problem solving

Education

Bachelor’s degree in Information Systems/CS/Business/Data Analytics

Tools

Workday HCM/Payroll
Prism Analytics
Cognos
SQL
Excel

Job description

Northeastern University in Boston is seeking a Reporting & Data Analyst for HR Platforms to support Workday HCM/Payroll reporting, SQL queries, and data analytics. You will translate complex business requirements into accurate, actionable workforce insights, partnering with HR, Payroll, Finance, and college/division HR stakeholders.

This hybrid role requires strong Excel and SQL skills, attention to data integrity, and the ability to test, validate, and resolve data issues in a high-volume

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