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Sr. Process Transformation Business Intelligence Data Analyst
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Sr. Process Transformation Business Intelligence Data Analyst
- Warren, Michigan, United States
- Warren, Michigan, United States
Über
Education & Experience
Minimum 5 years of relevant industry experience
Bachelor’s degree required in data analytics, engineering, computer science, operations management, supply chain or related field
Qualifications
Self-starter with the ability to influence others, working in teams and independently with customers, cohorts, and partners across many different physical locations
Demonstrated ability to use a dashboarding tool such as Power BI to build customer-facing deliverables
Experience extracting large datasets using SQL
Working knowledge of Extract‑Transform‑Load (ETL) best practices and experience transforming data with Python, Power Query, KNIME or a similar tool
Preferred Qualifications
Knowledge of Source to Pay processes and working knowledge of SAP Ariba, SAP MM, or SAP FI
Experience using statistical programming languages to create advanced analytics such as Python, R, or SAS
Working 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. The selected candidate is expected to report to a specific location at least 3 times a week or another frequency dictated by their manager.
The job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
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.
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Sprachkenntnisse
- English
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