Senior Process Transformation Business Intelligence Data Analyst

Job DescriptionWork Arrangement:This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.Role Overview:Do you want to use cutting edge technology to modernize and transform critical business processes? Are you able to collaborate with many different stakeholders to identify insights from large datasets and tell the story to leadership? The Process Transformation Business Intelligence Data Analyst works with stakeholders to solve some of the most difficult problems facing Global Purchasing and Supply Chain (GPSC) by automating manual processes, streamlining data collection, and identifying insights from disparate data sources.A successful Process Transformation BI Data Analyst is customer focused and able to identify improvement opportunities and work with the right organizations to implement them. Customers will come from a wide variety of service lines that each have their own unique processes and systems. The Process Transformation BI Data Analyst will need to be a quick learner and willing to challenge current processes and promote continuous improvement.This role is responsible for automating business processes and delivering self-service reports and dashboards for the GPSC organization. The ideal candidate can quickly learn and effectively use ETL and dashboarding tools such as KNIME, Power Automate, and Power BI, as well as perform data engineering using languages like SQL or Python to create simple datasets that can be used for a variety of reporting. Familiarity with agentic AI and large language model (LLM) applications is also preferred.Responsibilities:Design and implement scalable solution architectures in Databricks for analytics, AI, and application workloadsBuild, test, and maintain Python-based applications and services that support data processing, AI workflows, and business-facing toolsDevelop LLM-powered solutions, including prompt-driven applications, retrieval-based workflows, model orchestration, evaluation, and practical business use casesCreate and enhance web applications and user interfaces using HTML, JavaScript, and related frameworks or librariesTranslate business problems into technical requirements and production-ready solutionsDesign and optimize SQL queries, data models, and data pipelines to support application and reporting needsExperience using Visual Studio Code for development environment for coding, testing, debugging, and collaborationDevelop and execute test strategies for applications, APIs, and AI-enabled workflows to ensure quality, reliability, and maintainabilityPartner with business stakeholders, analysts, data engineers, and technical teams to define solution requirements and deliver usable productsSupport deployment, troubleshooting, performance tuning, and continuous improvement of production applicationsContribute to engineering standards, reusable patterns, documentation, and best practices for Databricks, Python, and AI application developmentRequired Qualifications:5+ years of translatable professional experienceStrong Python development experience for application development, automation, APIs, and data/AI workflowsExperience building or supporting LLM-based applications and practical AI solutions, including work with foundation models such as Claude or similar enterprise LLM platformsStrong SQL skills, including query development, data transformation, and performance optimizationExperience building web applications or application interfaces using HTML and JavaScriptExperience developing, testing, debugging, and maintaining applications in Visual Studio CodeExperience with application testing, code quality, and deployment practicesAbility to work across both backend logic and user-facing application componentsStrong problem-solving skills and the ability to turn ambiguous business needs into structured technical solutionsStrong communication skills and the ability to collaborate across technical and business teamsPreferred Qualifications:Collaborate with the business, IT, and analytics community to craft, prioritize and document opportunities to provide better insights, identify data gaps, and improve efficienciesLead and support service line modernization projects from requirement gathering through user-acceptanceAnalyze and create substantial insight for business use and decisions, understanding large amounts of data from structured and unstructured data sourcesTrain and support the business in the use of self-service tools and dashboards and help the business understand the available data fields and logicPrepare documentation and analytical reports that effectively summarize results, assumptions, and conclusionKnowledge of Source to Pay processes and working knowledge of SAP Ariba, SAP MM, or SAP FIExperience using statistical programming languages to create advanced analytics like python, R, or SASWorking knowledge of agentic AI and LLM AI and a curiosity or demonstrated success with business process automation. 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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. About GMOur 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 UsWe 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 OverviewFrom 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 believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 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.AccommodationsGeneral 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, emailus or call us at View phone number on click.appcast.io. 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.SummaryLocation: Warren, Michigan, United States of AmericaType: Full time