At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible.

What We’re Looking For:

The primary focus of our Analytics teams is to generate actionable insights by leveraging data and using effective data storytelling to help our company make better data-driven decisions.

What You’ll Be Doing:

Uncover business needs and the true questions that the company is trying to answer in order to properly frame your analysis

Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis

Assess the quantitative and qualitative impacts of possible actions based on your insight, taking into consideration our customers, our employees, and our company

Recommend actions based on your insights by effectively telling the story that is supported by data through presentations (PowerPoint), data visualizations (Tableau), and clear and concise verbal and written communications skills

Coordinate with various stakeholders to help implement and measure recommended actions

Qualifications / What You Bring (Must Haves):

Authorized to work in the United States, without requiring visa sponsorship now or in the future

Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field

Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one or more of the above disciplines

High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews)

High proficiency and professional experience with Excel, PowerPoint and Tableau

High proficiency and professional experience with data acquisition, data manipulation, data cleaning

High proficiency and professional experience identifying trends and indicators through quantitative and qualitative analysis

Proficiency with statistics and predictive modelling techniques

Comfort with presenting ideas virtually or in-person to audiences of various sizes

Ability to collaborate effectively with others as well as work independently while in a hybrid work environment

Added Bonus If You Have (Preferred):

MBA or advanced degree in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field

Professional work experience in auto financing, consumer lending and/or financial institutions

Professional work experience in consumer credit risk, business analytics, finance and/or pricing roles