SSM Global COE - GCO Fleet Data Analyst

Description

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

• 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

• 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