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General Motors
General Motors

General Motors Company is an American multinational automotive manufacturing company headquartered in Detroit, Michigan, United States

SSM Global COE – GCO Fleet Data Analyst at General Motors

RoleData Analytics
LevelMid Level
LocationTaguig City, National Capital Region (Manila), Philippines
WorkHybrid
TypeFull-time
Posted1 day ago
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About the role

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 position is categorized as hybrid on nightshift. This means the successful candidate is expected to report to the office three times per week (or other frequency) as dictated by the business.

The Role

The Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function.

As part of the transition of the Mobile Service (MS) + team and organizational structure from Retail Innovation to GM Envolve, the MS+ team supports critical operational tasks. As the program continues to grow, the volume of required daily activities continue to grow.

What You'll Do

  • Data Integration: Combine all data streams into a central Power BI environment (e.g. RPO/Subscription/Warranty/Financial/Enrollment/Retention)

  • Data Modeling & Cleansing: Create consistent, validated data models for tracking operational KPIs, and customer metrics and program forecasting.

  • Dashboard Development: Design interactive Power BI dashboards for operational tracking/metrics, and leadership executive summary.

  • Advanced Analytics: Conduct trend, predictive, and segmentation analysis (e.g., which services drive subscription renewals or regional adoption).

  • Enabling scenario planning (what-if analysis): e.g., what if rollout accelerates to X number of vans; what is cost/benefit per region; what subscriber conversion assumptions make the business case viable.

  • Process Automation: Replace manual Excel and SQL reports with automated data refreshes and self-service reporting.

  • Operational Insights: Identify efficiency opportunities (e.g., idle van time, service type profitability, technician allocation).

  • This hybrid role combines data engineering, analytics, and visualization—ensuring data accuracy, faster insights, and scalable reporting.

Your Skills & Abilities (Required Qualifications)

  • Bachelor’s degree in a Data Science, Mathematics, Statistics, Computer Science, Sales or Subscription

  • 3+ Years in Data Analytics / Data Science or related field

  • Data Visualization

  • Proficiency in Microsoft Power BI – building dashboards, data models, and DAX measures.

  • Data Modeling & Integration- Experience designing data models, relationships, hierarchies, and calculated measures. Knowledge of Dataflows, Azure Synapse, or Dataverse integration (for GM’s enterprise systems) a plus.

  • Database & Querying

  • Strong SQL skills; ability to query large datasets from relational databases (e.g., SQL Server, Oracle). Familiarity with Data Bricks a plus.

  • Data Preparation

  • Proficient in Power Query (M) and data transformation for reporting accuracy. Experience with Python or R for advanced analytics or predictive modeling a plus

  • Reporting Automation

  • Ability to automate refresh schedules, pipelines, and alerts for Power BI reports. Experience with Power Automate and API integrations a plus

  • Statistical & Analytical Skills

  • Strong understanding of KPIs, variance analysis, forecasting, and trend detection. Predictive modeling and demand forecasting a plus

  • Excellent interpersonal skills, as well as excellent communication skills, verbal and written

  • Strong computer software skills, especially Microsoft Office, including familiarity with MS Excel and MS PowerPoint

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Ability to think critically, solve problems, make decisions and build trust across the organization

  • Ability to guide team on multiple tasks and deliver results with aggressive timelines

  • Demonstrate self-motivation and the ability to grasp concepts quickly

  • Embrace data driven & customer insights to inform plans, launches, and iterations

  • Highly proficient in oral and written communication skills

  • Proven proficiency in analytical tools such as PBI, Power Automate and Knime

  • Background on emerging technological advancements such as AI

  • Strong organizational skills with proven track record of efficiently executing complex projects to completion at a high level of quality

  • Demonstrated high level of interpersonal skills required to effectively collaborate, motivate, and facilitate others in group situations

  • Desire to work in a complex and evolving environment and to bring an innovation mindset

  • Comfort working in a fast-paced start-up technology environment is essential

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

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Required skills

Power BI

Data modeling

Data cleansing

Forecasting

Dashboard development

Advanced analytics

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About General Motors

General Motors

General Motors Company (GM) is an American multinational automotive manufacturing company headquartered in Detroit, Michigan, United States. The company is most known for owning and manufacturing four automobile brands: Chevrolet, Buick, GMC, and Cadillac, each a separate division of GM.

10,001+

Employees

Taguig City

Headquarters

$46B

Valuation

Reviews

10 reviews

3.9

10 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.6

Career

2.8

Management

3.2

72%

Recommend to a friend

Pros

Good benefits and compensation

Flexible work arrangements and remote options

Supportive colleagues and teamwork

Cons

Limited growth and upward mobility

Bureaucratic and slow decision-making

Management inconsistency and communication issues

Salary Ranges

15 data points

Mid/L4

Mid/L4 · Assistant Manager - Customer Experience

2 reports

$149,386

total per year

Base

$129,727

Stock

-

Bonus

-

$136,754

$161,618

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Coding Assessment

3

HireVue Behavioral Assessment

4

Phone Screen

5

Final Interview

Common questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience