トレンド企業

Ford
Ford

Automotive manufacturer

Specialist, People Analytics and Planning

職種人事
経験ミドル級
勤務地Dearborn, MI, United States
勤務オンサイト
雇用正社員
掲載1週間前
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We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

As part of our Human Resources team, you’ll help us attract, hire and retain the top talent we need to achieve our bold vision. You’ll play a vital role in defining, developing and maintaining the winning culture that empowers diverse individuals to work together and create the impossible. We’re seeking change leaders, talent strategists, employee advocates and culture architects to enable our teams, partners, and businesses to do and be their best.

In this position...

The Senior Specialist, People Analytics and Planning, operates with significant autonomy, driving people analytics projects that drive better, faster, more data-informed workforce decisions to advance the company’s people, business, and talent strategies. This role partners with HR and business leaders to understand workforce challenges addressable by analytics. Responsibilities developing project proposals, providing project support, forming testable hypotheses, developing analytics products and solutions, and delivering data-driven insights for senior management's human capital decisions. The Specialist also consults management on HR analytics best practices, tools, and trends.

This role reports to the Director, Planning and Insights, and is an integral part of the Planning and Insights team, one of four pillars comprising the broader People Analytics Team. We foster a fast-paced, collaborative, and innovative culture, encouraging continuous learning and impactful contributions.

What you'll do...

  • Leverage advanced analytics and predictive modeling to solve complex HR problems, identify trends, and inform strategic decisions (e.g., retention, performance, talent acquisition) to maximize human capital ROI through data-backed insights and scenario planning.
  • Serve as a consultant and external spokesperson on people analytics trends, objectives, and policies. Provide thought leadership, staying current on emerging trends and best practices. Demonstrate expertise in people analytics, including AI/ML for HR planning, and contribute to new concepts and standards.
  • Develop and maintain analytics platforms for integrating diverse employee data (e.g., turnover, performance, engagement). Collaborate with external vendors to access advanced analytics tools and techniques.
  • Partner with HR and business leaders to identify critical questions, prioritize initiatives, and use data to inform decisions in workforce planning, organizational design, and talent management. Collaborate with internal/external experts to research, analyze, and present multi-source data for problem-solving.
  • Develop dashboards and reports to effectively communicate key HR metrics, trends, and actionable insights to senior leadership through compelling data visualizations and storytelling.
  • Utilize employee listening tools to gather feedback, identify trends, and address employee experience issues. Lead the design, development, and deployment of analytics products that drive data-informed workforce decisions, aligning employee needs and organizational effectiveness.
  • Participate in developing and maintaining an HR data governance framework to ensure data quality, security, and regulatory compliance.
  • Contribute to the roadmap for continuous evolution of the people analytics function, incorporating new technologies, processes, and methodologies in collaboration with senior People Analytics and HR leaders.

You'll have...

  • Bachelor’s Degree or Master’s Degree (Preferred) in Mathematics, Statistics, Analytics, Human Resources, Organizational Development, Business Administration, or any other related discipline.
  • Experience in hypothesis testing, statistical modeling, and data-driven problem-solving.
  • Strong background in critical thinking, project lifecycle planning, and organizational development.
  • Proficient in AI prompt engineering, model evaluation, and the application of Responsible AI principles.
  • Expertise in creating intuitive reports and dashboards for executive-level audiences.
  • Deep understanding of HRIS, workforce policies, and cross-functional stakeholder management.
  • Advanced skills in the Microsoft Office Suite.

Even better, you may have...

  • 5 years of work experience with a Master’s degree or 7 years of work experience with a Bachelor’s degree, in Consumer/Employee Insights, Data and Analytics, Consulting, or Strategy.
  • Certified Analytics Professional (CAP) or similar (Preferred)
  • Programming
  • Python (preferred)
  • Version Control
  • Github (preferred)

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 7 and ranges from $86,720- $142,120.

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: New Hire Benefits

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.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

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Fordについて

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

従業員数

Dearborn

本社所在地

$48B

企業価値

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.5

キャリア

3.2

経営陣

2.8

68%

知人への推奨率

良い点

Good benefits and compensation

Work-life balance and flexibility

Supportive colleagues and positive environment

改善点

Poor management and communication

Limited career advancement

High workload and stress

給与レンジ

21件のデータ

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1件のレポート

$132,847

年収総額

基本給

$102,190

ストック

-

ボーナス

-

$132,847

$132,847

面接レビュー

レビュー3件

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm