Data Analytics & BI Analyst

American Honda Motor Co., Inc.•Marysville, OH

3d•Onsite

About The Position

The BI and Data Science team at American Honda Motor designs, develops, and deploys business intelligence, artificial intelligence, and machine learning solutions aligned with Honda’s 2030 vision. This role advances enterprise reporting, advanced analytics, and AI/ML capabilities while supporting governance, scalability, and business value. The analyst collaborates with business units, IT, and global teams to deliver insights and solutions. The role develops and maintains dashboards, reports, and semantic models; translates business requirements into scalable BI solutions; and supports predictive modeling, statistical analysis, and AI/ML use cases. It also works with data engineering teams on data pipelines, modeling, transformation, and cloud-based solutions, while following governance and security requirements and supporting platform administration and monitoring. This is an onsite position with limited travel for regional support. Overtime may be needed, including weekend change implementation and testing.

Requirements

Bachelor of Science degree in a technical discipline such as Computer Science, Data Analytics, Mathematics, or Engineering.
At least 1 year of experience in Business Intelligence, AI, and ML.
At least 1 year of experience with a scripting language such as Python or SQL.
Strong knowledge of structured and unstructured data and data modeling.
IT technology and operations experience supporting software and hardware maintenance or upgrades, job monitoring, infrastructure, and operating systems.
Some experience with BI tools such as Power BI, Qlik, and SAP Business Objects.
Basic understanding of data models, data marts, and data concepts.
Some experience in data analysis, wrangling, validation, and data cleansing.
Basic knowledge of data science, including ML models and algorithms, data wrangling, and DataOps.
Basic experience with SQL or database platforms such as MS SQL Server or PostgreSQL.
Basic knowledge of cloud technologies, including connectivity, storage such as S3 and Glacier, data lakes, master data management, data cataloging, cloud warehouses such as Redshift, cloud ETL/ELT tools, cloud databases such as RDS and DynamoDB, and cloud or on-premises BI products.
Some experience with scripting languages such as R, Python, SQL, or Julia.
Basic IT technology and operations experience supporting software and hardware maintenance or upgrades, job monitoring, servers and infrastructure, and operating systems.

Responsibilities

Design, develop, and maintain dashboards, reports, and semantic models using tools such as Power BI and Qlik.
Translate business requirements into scalable, performant BI solutions.
Ensure data accuracy, consistency, and alignment with enterprise KPIs; optimize report and data model performance.
Develop predictive and analytical models, perform data exploration, feature engineering, and statistical analysis, and deliver actionable insights.
Support the development and scaling of analytics use cases.
Build and support AI/ML solutions such as forecasting, classification, and NLP, and integrate AI capabilities into enterprise reporting platforms.
Evaluate emerging AI tools and contribute to innovation initiatives; support responsible AI practices, including model explainability and governance.
Work with data engineering teams to consume and integrate data pipelines; support data modeling, transformation, and architecture best practices.
Use cloud platforms such as Azure, Fabric, or AWS for scalable solutions.
Follow data governance, security, and RBAC policies; contribute to BI/AI standards and reusable templates; document solutions and support compliance requirements.
Support BI administration, capacity monitoring, and quality reporting.
Develop and support BI/AI/ML technologies at the project level.
Provide operational support for BI/AI/ML tools, including platform availability, model monitoring, and release management.
Build new BI/AI/ML models and reports, maintain model accuracy, and enhance models.
Maintain and upgrade software and hardware, monitor jobs, and support servers, infrastructure, and operating systems.

Benefits

Competitive base salary, with pay based in part on geographic location and work experience.
Paid overtime.
Regional bonus when applicable.
Medical, dental, vision, and prescription benefit plans.
Paid time off, including vacation, holidays, and shutdown.
Company-paid short-term and long-term disability.
401(k) plan with company match and additional contribution.
Relocation assistance if eligible.
Advancement opportunities and career mobility.
Education reimbursement for continued learning.
Training and development programs.
Tuition assistance and student loan repayment.
Lifestyle account.
Childcare reimbursement account.
Elder care support.
Wellbeing program.
Community service and engagement programs.
Product programs.