[Skip To Content]

Data Analyst – Global Manufacturing Electrical & SDV

  • [Location]
    • Warren, Michigan
  • 日程 Full time
  • 发表

描述

Work Arrangement - Onsite

The successful candidate is expected to report to the Warren Tech Center on a full-time basis. This role requires up to 30% domestic and international travel.

The Role

Global Manufacturing Electrical & SDV is looking for innovators who thrive in tough challenges and are passionate about tackling meaningful work that will shape the future of the automotive industry. This isn’t a role for those looking for an easy path—it’s for those who embrace change, push through obstacles, and take ownership of complex problems. While there will be long days and moments that test your resilience, you’ll find purpose in your work, flexibility to prioritize your family, and the support of a people-first culture.

We are seeking a data-driven problem solver with a passion for transforming complex data into actionable insights to optimize manufacturing processes and drive innovation. The ideal candidate will possess advanced skills in data analytics, modeling, Power BI, and SQL, demonstrating a proven ability to collaborate across teams and deliver impactful solutions that enable proactive decision-making.

If you’re ready to grow, thrive, and make a real impact, we’d love to hear from you.

  • WHY : The purpose of this role is to develop and implement data-driven solutions to support the global Electrical and SDV organization by transforming complex data into actionable insights.

  • WHAT : Leverage your expertise in data analytics, modeling, ETL processes, and Power BI to design, implement, and manage end-to-end business intelligence solutions that optimize manufacturing processes, drive cost savings, and deliver actionable insights in a fast-paced environment.

  • HOW : Collaborate with cross-functional teams, including IT, Quality, and Electrical departments, to gather relevant data and deliver analytical support. Develop visual data representations to effectively convey insights and provide actionable recommendations.

What You’ll Do (Responsibilities):

  • Collaborate with cross-functional teams to understand business requirements and translate them into actionable analytics solutions.

  • Develop and maintain data and pipelines, ensuring data availability, integrity, and accuracy.

  • Utilize statistical methods and machine learning techniques to extract insights from complex data sets.

  • Build and deploy predictive models to support proactive decision-making and process optimization.

  • Foster a forward-thinking work culture that embraces change and navigates future organizational and industry challenges.

  • Build and nurture strategic relationships across various functions including software, manufacturing, and program management to synergize efforts towards future innovations.

[Additional Description]

Your Skills and Abilities (Required Qualifications):

  • 5+ years of proven experience in data analytics in a manufacturing or industrial setting.
  • 5+ years of proven experience with end-to-end BI tool development.
  • Advanced proficiency in SQL
  • Proven experience in applying transformation techniques to move data from its raw form to usable data tables.
  • Strong proficiency in Power BI, Power Query (M Language), DAX (Data Analysis Expressions) and Paginated reports.
  • Ability to work with large datasets and perform complex data analysis.
  • Demonstrates advanced expertise in utilizing data visualization tools, including Power BI. Strong understanding of Medallion Architecture, data modeling, and ETL (Extract Transform Load) processes.

What Will Give You a Competitive Edge (Preferred Qualifications):

  • Experience in Microsoft Power Platform such as Power App.
  • Experience in cloud computing platform such as Databricks. 
  • Experience in developing and deploying predictive models to optimize manufacturing operations.
  • Demonstrated ability to integrate analytics solutions into existing IT systems and operational workflows.
  • Proven track record of delivering impactful insights and driving business decisions through data-driven approaches.

This job may be eligible for relocation benefits.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

#LI-MH1

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.