Financial Analyst – Workforce Analytics

Ford Ford · Auto · Dearborn, MI +1 · Finance

This role focuses on modernizing financial and labor reporting using large datasets and AI tools. The analyst will optimize reporting processes, ensure data integrity, and provide actionable business insights by consolidating, analyzing, and publishing global FTE and labor spend reports, partnering with HR and IT to implement structural changes in reporting tools, and providing financial analysis and insights to management regarding FTE authority changes and strategic labor capacity planning.

What you'd actually do

  1. Consolidate, analyze, and publish global FTE (Full-Time Equivalent) and labor spend reports, integrating data across diverse geographic regions and business segments.
  2. Prepare and validate actual hourly and salary FTE data for 10K earnings reports and global financial disclosures.
  3. Partner with HR and IT to implement structural changes in reporting tools, utilizing big data and AI to automate manual processes and improve reporting accuracy.
  4. Maintain and update data reporting hierarchies to align with changing organizational structures and global legal entities.
  5. Provide financial analysis and insights to management regarding FTE authority changes and strategic labor capacity planning.

Skills

Required

  • Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or a related field.
  • 4+ years of experience in financial analysis, data analysis, or a similar analytical role
  • Demonstrated ability to manage multiple projects independently and take accountability for end-to-end deliverables with minimal supervision.
  • Strong attention to detail, specifically in reconciling large data sets and identifying data anomalies.
  • Proven track record of independently solving problems, driving process improvements, and collaborating across departments

Nice to have

  • Advanced proficiency in Microsoft Excel (e.g., complex modeling, advanced formulas) and other Office applications.
  • Working knowledge of data warehouse concepts, relational databases, and query logic.

What the JD emphasized

  • independently drive process improvements
  • independently solving problems
  • driving process improvements