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SSM Global COE – GCO Fleet Data Analyst

  • 위치
    • Taguig City, National Capital Region (Manila)
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202610197

설명

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 MobileService (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

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.