Senior HR Data Analyst
Jabil
- Location
- Florence, KY
- Work model
- On-Site
- Level
- Senior
- Salary
- $79.4k – $142.9k/yr
- H-1B history
- 20 approvals (FY2023)
- Posted
- Sep 4, 2026
Skills
About this role
At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. 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