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What Makes a Honda, is Who makes a Honda
Honda 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
North American Data Analytics Unit’s mission is to identify and resolve field quality problems quickly to ensure customer satisfaction and maintain quality competitiveness. Our Data Engineers review multiple data sources to evaluate, summarize and draw conclusions to identify trends that lead to countermeasure activity.
Key Accountabilities
- Use engineering fundamentals to identify problems through various data sources (Warranty, Telematics, Customer Relations, NHTSA, Surveys, etc.)
- Look for data trends not previously identified through deep understanding of the data
- Support cleaning data to ensure proper classification of market problems
- Transform data using SQL, Python, etc. to identify trends that lead to actionable problems and defend analysis to promote for countermeasure activity
- Generate groupings to support identification and classification of market problems
- Utilize modelling, statistics, and trend analysis to forecast future failure rates for known problems
Qualifications, Experience, and Skills
- BS in Engineering, Data analytics, Mathematics, Economics or Computer Science, with strong engineering aptitude or equivalent experience
- Minimum of 5 years in data analytics or information analysis
- Strong problem-solving skills to ensure data is correct and defend your data analysis to guarantee the responsible areas accept the results
- Strong communication skills (written, verbal and visual) to ensure your analysis is clearly understood
- Excellent attention to detail
- Proficient using query languages such as SQL
- Experienced in Microsoft Excel (Pivot tables, VLOOKUP, etc.)
- Prioritization skills to manage workload and make sound decisions
- Experience with common data science toolkits such as R, Python & NumPy
- Knowledge of data gathering, cleaning, and transforming techniques
- Business intelligence (Qlikview, Qlik Sense, Power BI) programming (desired)
- Applied statistics skills such as distributions, statistical testing, regression, etc. (desired)
What differentiates Honda and make us an employer of choice?
Total Rewards:
- Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
- Paid Overtime
- Regional Bonus (when applicable)
- Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
- Paid time off, including vacation, holidays, shutdown
- Company Paid Short-Term and Long-Term Disability
- 401K Plan with company match + additional contribution
- Relocation assistance (if eligible)
Career Growth:
- Advancement Opportunities
- Career Mobility
- Education Reimbursement for Continued Learning
- Training and Development programs
Additional Offerings:
- Tuition Assistance & Student Loan Repayment
- Lifestyle Account
- Childcare Reimbursement Account
- Elder Care Support
- Wellbeing Program
- Community Service and Engagement Programs
- Product Programs
- Free Drinks Onsite
Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
