Atlas Reliability Data Analyst

GM Performance Power Units

Concord (NC)

In loco

USD 90.000 - 130.000

Tempo pieno

14 giorni+
Generatore di candidature

Distinguiti per questa posizione — genera un curriculum e una lettera di presentazione personalizzati in circa un minuto.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Bonus scheme
Private healthcare
401(k) plan including company match
Employer-paid life insurance and disab
32 days annual leave
Free financial advisor access
Employee Assistance Programs (EAP)
Subsidized on-site dining
On-site gym
Discounted GM vehicle purchase/lease
Free on-site EV charging for personal
GM company benefits (EEOC note)

Descrizione del lavoro

GM Performance Power Units in Concord, North Carolina, is seeking a Reliability Data Analyst to support development, testing, and trackside operations of our Formula 1 Power Unit. The role blends data engineering with reliability analysis to build dashboards, pipelines, and models that help the team detect health issues and guide decisions for race performance.

The ideal candidate has strong Python scripting skills and ATLAS expertise, plus the ability to communicate complex data in engineering

Competenze

  • Bachelor's degree in Mechanical, Automotive or Aerospace engineering (EE/CS with powertrain exp acceptable).
  • 3–6 years in a data-intensive role in motorsport, aerospace, or high-performance auto powertrain.
  • ATLAS expertise: configure workbooks, math channels, and monitors; hard requirement.
  • Experience in reliability, test, or powertrain development influencing decisions.

Mansioni

  • Configure and maintain ATLAS workbooks, displays, and automated analyses across dyno, factory, and race environments.
  • Examine PU telemetry to identify anomalies, overload events, and early-warning signatures.
  • Develop ATLAS functions and condition monitors to automate failure detection.
  • Apply engineering judgment to data and communicate implications to the reliability team.
  • Build and maintain dashboards and post-session reports on PU health and fault status.
  • Develop Python scripts to automate recurring data processing tasks.

Conoscenze

Data analysis
Python scripting
Engineering judgment
Communication

Formazione

Bachelor's degree in Mechanical Engineering, Automotive Engineering, Aerospace Engineering, or related; Electrical Engineering or Computer Science considered with powertrain exp
3–6 years in a data-intensive role within motorsport, aerospace, or high-performance automotive powertrain development

Strumenti

ATLAS
Python
Power BI
Tableau
SQL
MATLAB

Descrizione del lavoro

GM Performance Power Units in Concord, North Carolina, is seeking a Reliability Data Analyst to support development, testing, and trackside operations of our Formula 1 Power Unit. The role blends data engineering with reliability analysis to build dashboards, pipelines, and models that help the team detect health issues and guide decisions for race performance.

The ideal candidate has strong Python scripting skills and ATLAS expertise, plus the ability to communicate complex data in engineering

Ottieni la revisione del curriculum gratis e riservata.

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