Sr. Business Analyst – Data Analytics, Visualization & AI Solutions

About this role

Job Description The Role The Propulsion Business Analyst will serve as a strategic partner to business leaders by transforming complex data into actionable insights, interactive visualizations, and intelligent automation solutions. This role combines expertise in business analytics, dashboard development, AI agent creation, and data visualization across Microsoft and Google platforms to drive operational efficiency, decision-making, and business performance.

The ideal candidate will possess strong analytical skills, experience designing enterprise reporting solutions, and the ability to leverage artificial intelligence technologies to automate workflows and improve business processes.

What You’ll Do Business Analytics & Insights • Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers. • Develop data models and analytical frameworks to support business strategy and operational excellence. • Translate business challenges into actionable data-driven recommendations. • Define, track, and monitor key business performance indicators. • Utilize advanced analytics techniques to identify optimization opportunities and business risks.

Dashboard Development & Data Visualization • Design, develop, and maintain interactive dashboards and reporting solutions using:  • Microsoft Power BI • Google Looker Studio • Google Analytics • Tableau  • Create executive-level visualizations that simplify complex business information • Develop scalable reporting solutions that automate data refreshes and improve data accessibility. • Ensure reporting governance, metric consistency, and data quality standards.

AI Agent Development & Automation • Design, build, and deploy AI agents using platforms such as:  • Microsoft Copilot Studio • Google Vertex AI • Google Gemini • Azure AI Services • Google Agent Builder • Power Platform • Develop AI-powered assistants that enhance employee productivity and decision-making. • Identify opportunities to automate business processes using AI and workflow automation tools. • Integrate AI solutions with enterprise data sources and business applications.

Data Management & Engineering Support • Extract, transform, and analyze data from ERP, CRM, manufacturing, supply chain, and financial systems. • Utilize tools such as:  • SQL • Python • Power Query • Google BigQuery • Microsoft Fabric

• Partner with IT and data engineering teams to establish scalable data pipelines and architectures. • Support data governance, master data management, and data quality initiatives.

Stakeholder Engagement • Gather business requirements and translate them into scalable analytics and automation solutions. • Present findings and recommendations to executive leadership and operational stakeholders. • Train users on dashboards, AI tools, and self-service analytics capabilities. • Serve as a trusted advisor for data-driven decision-making and digital transformation initiatives.

Your Skills & Abilities (Required Qualifications) • Bachelor's degree in Business Analytics, Data Science, Information Systems, Engineering, Computer Science, or related field. • 5+ years of experience in business analytics, business intelligence, data visualization, or digital transformation. • Advanced proficiency in one or more visualization platforms:  • Power BI • Looker Studio • Tableau • Experience with Google Cloud Platform (GCP) and/or Microsoft Azure environments. • Experience developing AI agents, copilots, chatbots, or workflow automations. • Strong SQL and data modeling capabilities. • Experience with Google BigQuery or enterprise data warehouses • Strong communication, project management, and stakeholder engagement skills.

What Will Give You a Competitive Edge (Preferred Qualifications) • Experience with:  • Google Vertex AI • Gemini AI • Agent Builder • Looker • Google Analytics 4 (GA4) • Microsoft Fabric • Power Automate • Azure AI Services • Python, R, or machine learning experience. • Knowledge of predictive analytics and generative AI technologies. • Experience in automotive, manufacturing, supply chain, purchasing, logistics, or operations environments. • Professional certifications in:  • Google Cloud Professional Data Analytics • Google Cloud Professional Machine Learning Engineer • Microsoft Power BI Data Analyst Associate • Microsoft AI Engineer Associate



GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

 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.

Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

Non-Discrimination and Equal Employment Opportunities (U.S.) 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 be

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