> Markdown version of [/jobs/ext/4427314-business-intelligence-data-analyst-manufacturing](https://www.wearedevelopers.com/jobs/ext/4427314-business-intelligence-data-analyst-manufacturing). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Data Analyst - Manufacturing - **Company:** Honda of America Mfg., Inc. - **Location:** Marysville, OH, United States - **Salary:** $100,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Business Systems, Data Visualization, Power BI, SQL Databases, Tableau (Software) - **Published:** October 11, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3015885224-2 ## About the Role * SQLMicrosoft Power BITableau * Data visualization * Dashboard development * Statistical analysis * Data modeling * Excel * Manufacturing KPI analysis * Data quality and validation ## Description American Honda Motor Co., Inc. is seeking a Data Analytics & BI Analyst to turn manufacturing and operational data into insights that improve quality, efficiency, safety, and decision-making. You will gather requirements from cross-functional partners, query and validate data, develop dashboards and reports, monitor key performance indicators, and explain findings to technical and business audiences. The ideal candidate is skilled in SQL, Excel, and a BI platform such as Power BI or Tableau, with experience in data modeling, visualization, and statistical analysis. Join an innovation-driven, collaborative team committed to respect, continuous improvement, and sustainable mobility. Help advance Honda's products and operations through reliable, actionable analytics., * Gather analytics requirements from manufacturing and operational stakeholders. * Query, integrate, validate, and maintain data from relevant business systems. * Build and maintain dashboards, reports, and data visualizations. * Track manufacturing and operational KPIs, identifying trends and anomalies. * Apply statistical analysis and data modeling to investigate business questions. * Communicate findings and recommendations to technical and nontechnical audiences. * Support data quality, consistent metric definitions, and continuous improvement initiatives.