Senior HR Data Analyst

Jabil

Florence (KY)

Hybrid

USD 79,000 - 143,000

Full time

35 hours ago
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Benefits offered by this job

Medical, dental, vision insurance
Paid time off
Parental leave
11 company holidays
401(k) retirement plan
Employee stock purchase plan

Job summary

Jabil Inc. seeks a Senior HR Data Analyst to transform raw HR data into actionable insights that support strategic decision-making across the organization. This role requires strong analytics, data visualization proficiency, and deep HR process knowledge to optimize workforce performance.

Based in Florence, KY, the team welcomes on-site or hybrid work, with occasional travel to the Florence campus. A passion for HR data and 5+ years of relevant experience are ideal, including HRIS familiarity

Qualifications

  • Bachelor's degree in a quantitative field; Master's preferred.
  • 5+ years of HR data analysis or BI experience.
  • Experience with statistical tools (R/Python) for analytics.

Responsibilities

  • Collect, validate, and maintain HR data from multiple systems.
  • Develop dashboards and reports showing headcount, turnover, and retention.
  • Analyze data to identify trends, risks, and opportunities for HR decisions.
  • Create clear visualizations and present insights to HR leaders.
  • Collaborate with HR and business partners to meet reporting needs.
  • Support workforce planning, talent management, and engagement initiatives.
  • Ensure data quality, privacy, and policy compliance.
  • Work with IT to improve data quality and integrations.
  • Assist HR tech implementations and analytics tool enhancements.
  • Respond to ad hoc reporting requests and share best practices.

Skills

Tableau / Power BI
Advanced SQL
HRIS (Workday/UKG)
R / Python analytics
Data storytelling

Education

Bachelor's degree in HR/Analytics/related field
Master's degree preferred

Tools

SQL
Tableau
Power BI
HRIS (Workday/UKG)

Job description

This position is not eligible for immigration and/or visa sponsorship. Applicants must be legally authorized to work in the United States without current or future sponsorship by Jabil. Applicants requiring sponsorship will not be considered.

Job Summary

This role will be supporting the Florence, KY campus. The Senior HR Data Analyst at Jabil Inc., will play a pivotal role in transforming raw HR data into actionable insights, supporting strategic decision-making across the organization. This position requires a strong analytical mindset, proficiency in data tools, and a deep understanding of HR processes to optimize workforce performance and HR program effectiveness.

Location

The team is open to someone being on-site (or even hybrid) at the Florence, KY campus, or a remote based individual with some travel to the Florence, KY campus as needed (roughly 10% annually).

Job Responsibilities
  • Collect, validate, and maintain HR data from multiple systems, including HRIS, payroll, timekeeping, and other workforce data sources.
  • Develop and manage dashboards, reports, and scorecards that provide visibility into key workforce metrics such as headcount, turnover, hiring, attendance, and employee retention.
  • Analyze workforce data to identify trends, risks, and opportunities, and provide actionable insights to support HR and business decisions.
  • Create clear and meaningful data visualizations and presentations for HR leaders and stakeholders.
  • Partner with HR teams and business leaders to understand reporting needs and deliver data-driven solutions.
  • Support workforce planning, talent management, and employee engagement initiatives through data analysis and reporting.
  • Ensure data accuracy, consistency, and compliance with company policies and data privacy requirements.
  • Collaborate with IT and other teams to improve data quality, system integrations, and reporting processes.
  • Support the implementation and enhancement of HR technology and analytics tools.
  • Respond to ad hoc reporting requests and provide analytical support for HR projects and strategic initiatives.
  • Share knowledge and best practices to help build a data-driven culture across the HR organization.
Job Qualifications
  • Bachelor's degree in Human Resources, Business Analytics, Statistics, Computer Science, or a related quantitative field. Master's degree preferred.
  • 5+ years of experience in an HR data analysis or business intelligence role, with a strong focus on HR data.
  • Some experience with statistical analysis software (e.g., R, Python) for predictive modeling and advanced analytics.
Knowledge, Skills, Abilities
  • Strong proficiency in data & visualization tools (e.g., Tableau, Power BI, MS Excel).
  • Advanced SQL Database skills for data extraction, manipulation, and analysis.
  • Proven experience working with HR Information Systems (HRIS) such as Workday, UKG, etc.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Strong understanding of HR principles, practices, and compliance requirements.
  • Strong attention to detail and accuracy.

The pay range for this role is $79,400 - $142,900. Job-related, non-discriminatory factors used to determine the actual offered rate include qualifications and experience, geographic location, education, external market data, and consideration of internal equity.

The anticipated close date of this job requisition is: October 31, 2026.

As part of the total rewards package, this position is eligible for a short-term incentive based on performance.

In addition, Jabil offers benefits to enhance your health, wealth, and resilient self.

  • medical, dental, and vision insurance plans
  • paid time off accruing at a rate of 3.07 hours during your first year of employment
  • 4 weeks of paid parental leave
  • in 2027, 11 company-paid holidays (9 fixed holidays and 2 optional floating holidays), subject to change yearly
  • 401(k) retirement plan
  • employee stock purchase plan
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