Cadillac Sr. Reporting Analyst Job at General Motors (Taguig City)

Job Description

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. This SSM Global COE – Cadillac Sr Reporting Analyst would work as an integral member of the Cadillac Retail Planning team to develop and apply advanced data science solutions that improve retail performance. The resource will lead the end-to-end development, maintenance, and continuous improvement of the Cadillac Sales Forecasting Machine Learning Model to help inform production and incentive decisions. Python, SQL, PBI, Databricks and Tableau skills are critical for this role.

Job Responsibility

Data Science: run Machine Learning models and maintain dashboards. The ML model helps inform Cadillac’s production and incentive decisions and the dashboards provide our HQ and field teams with actionable tools and insights for use by senior leadership or in dealer consultations
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).
Collaborate closely with partners across Cadillac Sales Ops, Marketing, Finance, the Cadillac Field team, and GM IT to achieve shared objectives
Solve complex problems and present expert advice to leadership in a clear and thoughtful way with a focus on actionable solutions that can be understood by a non-technical audience
Leverage state-of-the art data science and predictive statistical methodologies to enhance retail performance
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.
Operational Insights: Identify efficiency opportunities and insights derived from statistical models
This role combines data engineering, analytics, and visualization—ensuring data accuracy, faster insights, and scalable reporting.

Requirements

Bachelor's degree in a Data Science, Statistics, Computer Science, Mathematics, Economics, or Computer Science preferred (master's degree is a plus)
5-8 Years in Data Analytics / Data Science or related field
Working knowledge of statistical and machine learning techniques such as regression, time series forecasting, clustering, optimization, etc.
Professional experience using data science techniques to improve business results
Technical proficiency using Python and other analytical programming languages
Strong SQL and Big Data skills and proficiency in data warehouse environments such as Databricks
Highly proficient in oral and written communication skills
Background on emerging technological advancements such as AI
Data Visualization - Proficiency in Microsoft Power BI/Tableau – 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.
Strong computer software skills, especially Microsoft Office, including familiarity with MS Excel and MS PowerPoint.

Nice to have

Strong interpersonal skills, including the ability to communicate the business benefits of analytics
Ability to apply multiple solutions to business problems
Ability to quickly comprehend the functions and capabilities of new technologies
Ability to explore, comprehend, and transform raw, unstructured data
Ability to identify areas of opportunity for automation in day-to-day reporting for the retail incentives team
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
Excellent interpersonal skills, as well as excellent communication skills, verbal and written
Demonstrate self-motivation and the ability to grasp concepts quickly
Embrace data driven & customer insights to inform plans, launches, and iterations
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

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Cadillac Sr. Reporting Analyst

Job Description

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