Finance Data Analyst (Manufacturing)
Quick Summary
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.
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.
This role will be based on-site at our Salt Lake City, UT/Grantsville facility.
What Will You Do?
-Collect, clean, and validate large datasets from various financial systems and sources (e.g., SAP, ERP systems, data warehouses).
-Develop and maintain financial models, dashboards, and reports using tools such as Excel, Power BI, Tableau, or similar visualization platforms.
-Perform in-depth financial analysis, including variance analysis, trend analysis, forecasting, and budgeting support.
-Identify opportunities for process improvement and automation within financial data collection, analysis, and reporting.
-Collaborate with finance, accounting, and other cross-functional teams to understand data requirements and deliver relevant insights.
-Support the preparation of presentations and reports for senior management, highlighting key financial performance indicators and strategic recommendations.
-Ensure data accuracy, consistency, and integrity across all financial reporting and analytical activities.
-Assist in the development and implementation of new financial systems and tools as required.
How Will You Get Here?
Education & Experience
-Bachelor's degree in Finance, Accounting, Economics, Business Analytics, or a related quantitative field.
-2+ years of experience in a financial analyst, data analyst, or similar role, preferably within a large manufacturing or technology company.
-Experience with ERP systems (e.g., SAP, Oracle) and data warehousing concepts.
-Or an equivalent combination of education, experience, and/or training.
Knowledge, Skills, Abilities
-Proficiency in Microsoft Excel (advanced functions, pivot tables, VBA preferred).
-Strong experience with data visualization tools (e.g., Power BI, Tableau, Qlik Sense).
-Solid understanding of financial principles, accounting concepts, and financial reporting.
-Ability to work with large datasets and perform complex data manipulation and analysis.
-Excellent analytical, problem-solving, and critical thinking skills.
-Strong communication and interpersonal skills, with the ability to present complex data clearly and concisely to diverse audiences.
-SQL proficiency is a plus.
BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in.
Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.
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Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- 7 days ago
Listing Details
- Posted
- October 27, 2026
- First seen
- October 27, 2026
- Last seen
- November 3, 2026
Posting Health
- Days active
- 6
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- November 3, 2026
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