Analyst, Analytics

Overview

We are a collaborative, respectful place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high‑quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to dream, do, and grow with us.

Toyota Financial Services (TFS) is the finance and insurance brand for Toyota and Lexus in North America. TFS is a separate business entity and an essential part of this world‑changing company, delivering on Toyota's vision to move people beyond what’s possible. This position is based at Toyota Headquarters, Plano, TX, with onsite work Monday‑Thursday and remote work on Fridays.

We are looking for highly motivated Analysts to join our Analytics teams, which generate actionable insights by leveraging data and storytelling to support data‑driven decisions.

• Uncover business needs and frame the true questions the company is trying to answer.
• Leverage SQL and Python (Pandas & Num Py) to acquire and organize data.
• Find insights buried in the data by applying creative problem‑solving, data exploration, and quantitative analytical skills, including statistical methods.
• Assess the quantitative and qualitative impacts of possible actions based on insights, considering customers, employees, and the company.
• Recommend actions by effectively telling the story supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear verbal and written communication.
• Coordinate with stakeholders to help implement and measure recommended actions.
• Build relationships with key stakeholders across Toyota such as Sales, Marketing, Servicing, Insurance, Risk, Technology, Legal/Compliance, Finance, Treasury, etc.
• Continuously improve analytical, technical, communication, and people skills through training and on‑the‑job experience to prepare for advancement into analytical leadership roles.
• Become a subject‑matter expert for your business area by developing a comprehensive understanding of its strategies, processes, policies, and data.
• Guide and mentor other analysts on best practices for analysis and data storytelling.

• Bachelor’s degree (or higher) in a quantitative field such as Business Analytics, Information Science, Business/Finance, Economics, Mathematics, Engineering, Marketing, Consumer Insights, or a closely related STEM field.
• At least one year of equivalent and relevant work experience.
• Demonstrated experience coding in SQL and Python (will be tested during interviews).
• Strong data acquisition, manipulation, cleaning, analysis, and presentation skills.
• Basic statistics knowledge and intermediate to advanced statistics knowledge.
• Presentation skills including proposing strategic recommendations to management and clearly articulating technical concepts to non‑technical audiences.
• Intellectual curiosity and a willingness to find the truth in data.
• Experience collaborating with others.
• Bonus: MBA or Master’s degree in an analytical field, background in Auto Finance or Consumer Lending, or professional experience in one or more areas covered by the Analytics Job Family.

During the interview process, our team can provide details on all industry‑leading benefits and career development opportunities, including:

• Teamwork, flexibility, and respect in the work environment.
• Professional growth and development programs, including tuition reimbursement.
• Vehicle purchase discount and lease vehicle program for team members.
• Comprehensive health care and wellness plans for your entire family.
• 401(k) savings plan featuring a company match and annual retirement contribution regardless of employee contribution.
• Paid holidays and paid time off.
• Referral services for prenatal services, adoption, childcare, schools, and more.
• Tax‑advantaged accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).
• Relocation assistance (if applicable).

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.