Fleet Electrification Sr. Analyst

Job Description

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. 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.

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to GM Philippines office three times per week or other frequency dictated by the business.

The Role

As a Fleet Electrification Data Analyst, you will apply Analytics on curated enterprise data and self-constructed data sets to tackle complex business problems.  Deliver hands-on, as well as cross-functional solutions that enables the business with self-serve and ongoing actionable insights.

What You'll Do

• You provide guidance on describing enterprise or vehicle performance using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.
• You thrive in reciprocal environments with leaders and managers to resolve and address ad-hoc data and reporting needs.
• Build statistical models that depict company-wide trends.
• You perform testing and validation of data sets.
• You enjoy the challenge of determining the meaning of data and explaining how various teams and leaders can leverage it to improve and streamline their processes
• You enjoy keeping defined structures in documentation and data and have a large toolset in data exploration and analysis methodologies to tackle business problems.
• Digital Upskilling - On the job digital upskilling for self and leverage expertise to train the community.

Your Skills & Abilities (Required Qualifications)

• Degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or other quantitative field
• Communication skills with the ability to distill complex subjects to a wider audience
• Highly Desired Skills - 2 or more years proficiency in most of the following:
  • R or Python and understand their limitations
  • Two or more analytical methodologies such as statistical process/tools, descriptive/diagnostic analytics, machine learning and text analytics
  • Data Integrations with expertise using SQL, Databricks or KNIME
  • Business Intelligence/Reporting with experience using Power BI, Excel, or Cognos
  • Understanding of data gathering, inspecting, cleansing, transforming, and modeling/diagramming techniques

What Will Give You A Competitive Edge (Preferred Qualifications)

• Excellent collaboration and project management skills
• Affinity with technology and/or familiarity with analytics tools and techniques
• Highly motivated and willing to learn and take on new challenges
• Excellent written and verbal communication skills
• Highly proficient in Microsoft Office applications

Important: Must be willing to night shift.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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