Analyst, Analytics

Overview

Who we are Collaborative. Respectful. A 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. Grow. with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company—delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently.

This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays

Analyst – Analytics @ Toyota Financial Services (Multiple Open Roles – please see below)
These positions are based at the Toyota Headquarters in Plano, TX

Who we're looking for

Toyota Financial Services is looking for highly motivated people to fill multiple openings as an Analyst in one of our Analytics teams. 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.

We Currently Have Openings On The Following Teams

Data Analysis (DnA)

The Data Analysis team provides reporting, ad hoc and insight generation/analytics primarily assisting our Contact Center Service Operations, Legal and Compliance, Sales, and other Corporate Functions including Voluntary Protection Products (VPP), Accounting, Risk and Fraud. Our goal is to provide a consultative approach to answering business questions, driving efficiency gains and helping the business units to deliver value. The goal is to turn data into actionable insights while enabling the business to be more self sufficient in their data and reporting needs.

We typically look for candidates with a mix of coding/programming ability along with an ability to analytically answer a business problem while being able to build relationships and influence decisions across the organization.

Pricing Analytics

The Pricing Analytics team’s work is centered on determining the appropriate interest rates to be paid by customers for our Consumer Finance Retail and Lease products. Our team’s work is critical not only in driving TMCC’s business results from a sales, profitability, and risk perspective but also in the impact it has on millions of Americans monthly loan/lease payments. With such a high level of responsibility, our team utilizes both an analytical framework utilizing the latest techniques and technologies in data analytics/science while also leveraging the depth of industry knowledge and expertise throughout TFS.

Learning and Development Analyst

Through technical and analytical skills, deliver actionable insights that enable the business to measure learning effectiveness and align employee capabilities with future business needs. Leverage your problem solving skills to solve for data gaps and to evolve our learning analytics capabilities.

• 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/R coding skills to pull and organize data that is needed for your analysis.
• Find insights buried in the data by applying your arsenal of creative problem-solving, data exploration, and quantitative analytical skills (including statistical methods).
• 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…