Principal Data Analytics and BI Engineer

Honda Development & Manufacturing of America seeks a Data Analytics & BI Principal Specialist to lead enterprise analytics and reporting that power smarter manufacturing and product decisions. In this role, you will architect data models, pipelines, and BI solutions that deliver trusted KPIs and actionable insights to engineering, operations, and leadership. You'll own our BI standards, mentor analysts, and partner across teams to optimize quality, productivity, and cost. Working in an engineering-driven, collaborative culture, you'll help advance Honda's innovation, safety, and sustainable mobility goals using modern data and analytics practices.

Responsibilities

• Lead design and delivery of data analytics and business intelligence solutions supporting manufacturing and product development decisions
• Translate business requirements into scalable data models, dashboards, and self-service BI tools
• Develop, optimize, and govern data pipelines, ETL/ELT processes, and data quality standards
• Partner with engineering, manufacturing, and operations teams to identify KPIs and improve process performance
• Apply statistical analysis and advanced analytics to drive insights on productivity, quality, and cost
• Own BI platform administration, standards, security, and best practices
• Mentor analysts/engineers and champion data-driven culture across cross-functional teams
• Collaborate with IT on data architecture, integration, and performance tuning
• Document data definitions, lineage, and reporting logic to ensure consistency and compliance
• Support executive reporting, forecasting, and strategic planning initiatives

Required Skills

• SQL and relational database design
• ETL/ELT development (e.g., SSIS, Informatica, dbt)
• BI tools (e.g., Power BI, Tableau, Qlik)
• Data modeling (star/snowflake schemas)
• Data warehousing concepts and architectures
• Statistical analysis and data visualization
• Scripting languages (Python or R) for analytics
• Cloud data platforms (Azure, AWS, or GCP)
• Performance tuning and query optimization
• Requirements gathering and stakeholder management