Recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity by analyzing product warranty related data sets.
Requirements
- Experience with Node.js, SQL, Python, API’s, MySQL/MongoDB, large language models, and business intelligence tools.
- Experience with databases and large data sets and related reporting tools
- Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations
Responsibilities
- Develops and maintains statistical models capable of extracting valuable business and/or technical insights from large data sets.
- Proactively participates in developing scalable Business Intelligence (BI) and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining.
- Assists with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions.
- Performs data manipulation and analytics and translate insights into actionable recommendations to management and customers..
- Prepares presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders.
- Creates standards for process improvement projects using Data Analytics and Statistical Analysis Theory.
- Applies statistical expertise to advance current and future regional initiatives.
Other
- Bachelor's Degree in math, statistics, computer science, software engineering or a related field
- 0+ years of related experience
- Basic knowledge of automotive parts and related vehicle systems (e.g, charging/starting electrical, emission, HVAC systems, vehicle electronic components).
- Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management.
- Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team
