Overview

What Makes a Honda, is Who makes a HondaHonda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Data Analytics and BI Technical Lead strengthens NAQ market-quality issue detection and promotion capability by managing data engineering methods, BI solutions, analytics tools, and governance processes enable the unit to identify field-quality trends quickly, accurately, and consistently. This role serves as a department and unit-level technical expert by translating complex data into reliable business insight, improving analytical capability across responsible areas, supporting business planning decisions, and helping standardize quality analytics methods that improve speed, consistency, forecasting, and market-quality response. Key Accountabilities Business planning and capability development - Manage Unit and Department business planning initiatives that improve the processes, tools, reporting standards, and analytical methods used to detect market quality trends and promote issues quickly. Responsible for identifying gaps in existing business capability, defining the strategy for resolution, aligning stakeholders, and leading the team required to execute countermeasures that support Unit and Department objectives. Analytics tools, platforms, and technical standards - Manage and continuously improve the data engineering toolset, including BI platforms, Excel, MS Access, SQL, Python, and appropriate AI-enabled solutions. Responsible for establishing department and unit BI solutions, data architecture, data quality, reporting methodologies, and reusable analytics models that improve speed, consistency, accuracy, repeatability, and scalability across responsible teams. Recurrence prevention, innovation, and process improvement - Lead recurrence prevention activity for gaps identified in responsible business areas, translating lessons learned into durable process changes, countermeasures, and follow-up controls. Quality record governance, approval, and advisory responsibiliy - Review and approve QIS, QIC, and Problem Definition records to ensure issue logic, scope, data evidence, and documentation quality are aligned before promotion. Serve as a Department and Unit expert advisor on issue detection methodologies, emerging quality risks, analytics strategies, data quality standards, and appropriate use of market-quality data sources. High-complexity leadership data requests and strategic recommendations - Develop strategies to manage and execute complex or high-profile ad-hoc data requests from internal or external leadership, ensuring outputs are clear, accurate, timely, and decision-ready. Present strategic analytics recommendations to Unit and Department leadership. Qualifications, Experience, and Skills Minimum Educational QualificationsBS in Computer Science, Data analytics, Mathematics, Economics, or Engineering with strong engineering aptitude or equivalent experience Minimum Experience8+ years analytical or information analysis experience, based on amount of education Other Job-Specific SkillsExpert in utilizing NAQ data sources and