HR Data Analyst

Jabil Circuit

Florence (KY)

On-site

USD 65,000 - 90,000

Full time

2 days ago
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Job summary

Jabil Circuit in Florence, KY seeks an onsite HR Data Analyst to collect, clean, and analyze HR data from multiple sources, supporting operations and strategic decisions.

The role builds and updates HR dashboards (turnover, time-to-hire, diversity) and translates insights into actionable recommendations for HR leadership. Strong analytical skills and proficiency with HRIS (Workday preferred) and Excel are essential.

Qualifications

  • Bachelor’s degree in Human Resources, Business Analytics, Statistics, or a related field.
  • 2+ years of experience in HR data analysis or a similar analytical role.
  • Proficiency with HRIS systems (including Workday or similar) and advanced Excel skills.
  • Experience with data visualization tools such as Tableau or Power BI (preferred).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and presentation skills, including the ability to explain complex data to non-technical audiences.
  • Capability to work independently and collaboratively in a fast-paced environment.
  • Understanding of HR processes and best practices.

Responsibilities

  • Collect, clean, and analyze HR data from multiple sources, including HRIS, ATS, and other HR systems.
  • Build, maintain, and update HR dashboards and reporting for key HR metrics such as turnover, time-to-hire, and diversity.
  • Analyze HR data to identify trends and insights, and translate findings into actionable recommendations for HR leadership and business partners.
  • Provide data analysis and reporting support for HR initiatives and projects.
  • Ensure data accuracy, integrity, and consistency across HR systems and reporting outputs.
  • Partner with IT and other teams to improve data collection processes and reporting capabilities.
  • Develop and deliver presentations that communicate HR data insights to stakeholders.
  • Maintain confidentiality for sensitive HR information.

Skills

Analytical skills
Data interpretation
Communication skills
Independent and collaborative

Education

Bachelor’s degree in HR / Business Analytics / Statistics

Tools

Excel
Tableau
Power BI
Workday

Job description

This onsite HR Data Analyst role in Florence, KY focuses on collecting, analyzing, and reporting HR data to support HR operations and strategic decision-making.

Responsibilities
  • Collect, clean, and analyze HR data from multiple sources, including HRIS, ATS, and other HR systems
  • Build, maintain, and update HR dashboards and reporting for key HR metrics such as turnover, time-to-hire, and diversity
  • Analyze HR data to identify trends and insights, and translate findings into actionable recommendations for HR leadership and business partners
  • Provide data analysis and reporting support for HR initiatives and projects
  • Ensure data accuracy, integrity, and consistency across HR systems and reporting outputs
  • Partner with IT and other teams to improve data collection processes and reporting capabilities
  • Develop and deliver presentations that communicate HR data insights to stakeholders
  • Maintain confidentiality for sensitive HR information
Requirements
  • Bachelor’s degree in Human Resources, Business Analytics, Statistics, or a related field
  • 2+ years of experience in HR data analysis or a similar analytical role
  • Proficiency with HRIS systems (including Workday or similar) and advanced Excel skills
  • Experience with data visualization tools such as Tableau or Power BI (preferred)
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to interpret data, identify trends, and draw meaningful conclusions
  • Excellent communication and presentation skills, including the ability to explain complex data to non-technical audiences
  • Capability to work independently and collaboratively in a fast-paced environment
  • Understanding of HR processes and best practices
Technologies
  • HRIS
  • ATS
  • Workday
  • Excel
  • Tableau
  • Power BI
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