Senior Analyst – Data 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.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration‑related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.)

now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Toyota’s EV Charging Solutions (EVCS) team is looking for a passionate and highly motivated Senior Analyst – Data Analytics. Someone who thrives at the intersection of strategy, data and execution, taking an idea from concept to delivery, making it real. In this role, you will serve as the technical expert, working alongside the EVCS Charging Analytics Manager. You will lead projects and support cross collaboration efforts across Toyota.

You will build new digital products, tools, and datasets that strengthen Toyota’s EV charging capabilities and advance the broader ecosystem. In parallel, you will develop dashboards that deliver actionable insights, while supporting the design and launch of EV‑related collaborations and pilots. Reporting to the Sr. Manager of EV Charging Solutions, the person in this role will support the EVCS and Business Development department's objectives: to advance the sale of BEVs and enable Toyota and Lexus EV customers to confidently and sustainably go to more places.

• Design and launch EV charging pilots and strategic initiatives, partnering with Toyota business units and external stakeholders to deliver measurable outcomes and unlock new capabilities.
• Design and deploy new digital products and prototypes (e.g., EV tools, models and/or features), aligning with go‑to‑market strategy and commercialization pathways.
• Provide analytical support to partnership initiatives.
• Support development of data products, including analytical tools, dashboards, datasets, and proprietary methodologies that support EVCS.
• Conduct advanced geospatial, telematics, and charging behavior analysis to support strategic decision‑making and insights generation.
• Support implementation and testing of approved AI tools.
• Own key analytics work streams from concept through delivery, including stakeholder alignment, requirements gathering, prototyping, deployment, and continuous improvement.
• Develop data models, business logic, data dictionaries, and quality controls that ensure consistency, trust, and scalability across our EV charging analytics and data platform.
• Design reports and dashboards that identify strengths and opportunities in the EV ownership experience.
• Build and oversee scalable data pipelines and analytical methodologies integrating EV charging, telematics, customer identity, geospatial, and third‑party datasets into unified frameworks.
• Translate complex data assets into actionable recommendations and product concepts, influencing EV charging strategy, customer experience improvements, and new revenue opportunities.
• Serve as a thought partner on AI, data strategy, and digital product innovation, helping define future‑state capabilities across EV charging, customer insights, and connected services.

• Bachelor’s degree from Accredited four‑year college or university and/or related commensurate experience.
• 5+ years of experience in data engineering, data science, business intelligence, advanced analytics or consulting.
• Experience with cloud data platforms, data warehouses, data lakes, or virtualized data environments.
• Experience building scalable datasets, ETL/ELT…