обновлено 18 часов назад
Safety Field Investigations - Data Analyst (Automotive)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Safety Field Investigations - Data Analyst (Automotive): Building and maintaining data pipelines, analytical models, dashboards, and reporting solutions for vehicle field action execution with an accent on VIN population analysis, cost modeling, and large-scale automotive data. Focus on cleansing and validating complex datasets, developing Tableau and Power BI visualizations, and solving cross-functional data definition challenges with engineering and operations teams.
Location: Warren, Michigan, United States; hybrid attendance required at least 3 times a week
Company
develops automotive products and works toward zero crashes, zero emissions, and zero congestion.
What you will do
- Lead VIN population analysis to determine vehicle eligibility, support customer contact strategies, and complete field action documentation.
- Design, maintain, and improve data pipelines and workflows for field action analytics, reporting, and operational decisions.
- Perform data preprocessing, cleansing, validation, and feature engineering to improve data quality.
- Develop cost estimates and analytical models for financial accruals and business planning.
- Create internal communications, dashboards, scorecards, and self-service reporting with Tableau and Power BI.
- Partner with engineering, operations, and global teams to interpret automotive data, align definitions, and reach decisions.
Requirements
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
- 5+ years of related experience or demonstrated proficiency in analytical and technical roles.
- Strong SQL and data analysis experience with large, complex datasets.
- Hands-on experience with Databricks, Hadoop, data pipelines, preprocessing, and feature engineering.
- Experience creating dashboards and visual analytics with Tableau and Power BI.
- Proficiency with Python analytics tools including Pandas and NumPy, plus strong communication, problem-solving, planning, and organizational skills.
Nice to have
- Experience with automotive components and systems.
- Experience with GM systems such as QDAP, GM data structures, and performance integration applications.
- Advanced Excel, Access, or other analytical tool proficiency.
- Project management experience and experience developing enterprise data models, automated reporting, or scalable operational analytics.
Culture & Benefits
- Work with engineering, operations, and global stakeholders on field action execution.
- Benefits support employee well-being at work and at home.
- The role may be eligible for relocation benefits.
- Immigration-related sponsorship is not provided, including H-1B, OPT, STEM OPT, CPT, TN, and J-1 support.
Hiring process
- Applicants may be required to complete role-related assessments and pre-employment screening where applicable.
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