Назад
Company hidden
обновлено 18 часов назад

Safety Field Investigations - Data Analyst (Automotive)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →