Data Analytics Manager

seeking for highly motivated and tech-savvy entry-level Data analytics engineer to join our analytics team. If you''re passionate about turning data into insights and enabling smarter decisions in a fast-paced automotive environment, this is the opportunity for you. In this role, you’ll be instrumental in building and maintaining data models, pipelines, and reporting structures that empower insight-driven decision-making across the enterprise.

Reporting to the Senior Manager – Data Analytics within the Enterprise Data organization, you will work closely with cross-functional teams and uncover trends, develop transformation logic, and craft compelling data stories that make raw data meaningful and actionable. You will have the opportunity to work on cutting-edge automotive innovation and digital transformation projects. This is a unique opportunity to contribute to Toyota’s mission of creating mobility for all through the power of data

 

Data Democratization related activities to drive data drivel decision making culture at TMNA

Develop and maintaining interactive dashboards and reports using Power BI, Tableau, and PowerApps

Develop data workflows and automation using Alteryx, KNIME, or similar data analytics tools

Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision-making

Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams

Prepare data for predictive and prescriptive modeling to support strategic initiatives

Clean, validate, and transform raw data into analytics-ready formats

Perform data profiling and recommend quality rules to enhance trust and usability

Ensure consistency in data processes and champion best practices in data analytics

Document processes and contribute to data stewardship and governance initiatives

 

Qualifications/ What you bring:

Bachelor’s degree in data science, Information Systems, Business Analytics, Computer Science, or related field OR equivalent work experience. In total 10+ Years of experience. 

7-8 years of experience in data wrangling, profiling, testing tools.

7-8 years of experience in some of these technologies:

Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME

5-6 years of experience in Cloud platforms: AWS and/or Azure

Proficient in complex SQL and Excel

7-8 years of experience in researching new data sources and build insightful dashboards.

Understanding of data security, privacy, and cloud-based storage

Strong communication and presentation skills, able to translate technical data into business insights

Curiosity, adaptability, and eagerness to learn in a collaborative environment

 

Experience in Data Democratization projects

Data Analysis/Analytics certifications.

Experience in the automotive industry.

AWS or Azure Data certifications.

Exposure to Python or R