Financial Data Science Analyst – Advanced Analytics & BI

What you'll do...

• Develop Core Data Products: Design, build, and deploy scalable data products (combining BI, Cloud Data, and AI/ML) that replace manual processes across PD Finance and enable faster, more informed decision-making.
• Drive Cost & Efficiency Insights: Analyze complex datasets—including Bills of Materials (BOM), supplier quotes, and engineering specifications—to identify, quantify, and track material cost savings and waste reduction.
• Master & Build the Tech Stack: Design secure data pipelines and data models on Google Cloud Platform (GCP) and BigQuery. Write optimized SQL and Python to automate analyses, build predictive models, and generate actionable insights.
• Architect Practical AI Solutions: Explore and prototype AI-enabled solutions that improve how finance and engineering teams access, understand, and interact with data.
• Storytelling with Data: Build dynamic Power BI dashboards that translate highly complex technical and financial data into clear, intuitive insights for engineering and senior finance leadership.
• Excellence (Deliver It & Own It): You are a creative problem solver. When you see a broken or manual process, your first instinct is to ask, "How can we automate or outsmart this?" You take absolute ownership of your code, models, and data quality.
• Focus (Do Only What Matters & Bias for Action): You are relentlessly curious, highly self-motivated, and comfortable with ambiguity. You prioritize projects based on business impact, choosing the most efficient tool (whether BigQuery, Python, SQL, or an LLM) to deliver fast, repeatable value.
• Collaboration (Seek to Understand & Solve Together): You do not thrive on individual recognition if it detracts from the team. You actively seek to learn from others, share your technical expertise to upskill your peers, and focus on what is right for Ford overall.

You'll have...

• Bachelor's degree in Finance, Economics, Data Science, Computer Science, Engineering, or a related highly quantitative field.
• Technical Aptitude & Agility: A proven track record of teaching yourself new technical tools. You have a strong baseline in a few platforms, are fearless about learning the rest, and enjoy bringing structure to complex business problems.
• Analytical Curiosity: You want to know how the "big machine" works, specifically how engineering decisions impact material costs and capital spending, and how data can help drive better outcomes.
• Collaborative Mindset, High Impact: You take pride in delivering high-quality solutions, share knowledge freely, and focus on achieving the best outcomes for the team and the business. You bring energy, ownership, and a strong drive to create meaningful business value.
• Data Foundations: Strong experience in SQL and querying large, complex datasets; experience with Google Cloud Platform (GCP)/BigQuery or similar cloud platforms is highly valued.
• Analytics & Automation: Experience using Python (Pandas, NumPy, scikit-learn or similar) to build predictive models, perform feature engineering, and automate workflows.
• Visualization: Power BI dashboard design and data storytelling.
• Financial Literacy: Strong understanding of financial principles, including cost forecasting, NPV/ROI modeling, budgeting, and capital investment analysis.

Even better you'll have...

• A hybrid finance and data professional who can connect financial drivers (cost, ROI, capital) with scalable data and analytics solutions, whether coming from a finance background with strong data skills or a data background with solid business and finance understanding.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

This position is a salary grade 5 and ranges from $65,100-$109,300.
This position is a salary grade 6 and ranges from $74,300-$124,500.
This position is a salary grade 7 and ranges from $86,600-$144,900.
This position is a salary grade 8 and ranges from $99,100-$166,200.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here:

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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