IT Data Analyst
1 month ago
Years experience with each highlighted skills are needed.
Education MUST be on the resume (i.e Degree, discipline, University and MONTH AND YEAR obtained. Thank you
GM requires photo ID and linked in profile (with picture) with submittals
General Motors U.S. Attestation SSN Authorization required..please see end of email
USC and GC only . W2Only
General Motors
IT Data Analyst 5 #1001317
Location: Warren, Michigan-Hybrid role
Department: Cadillac Strategic Innovation and Analytics Data Scientist
Job Description:
Worker to be paid salary, not eligible for overtime.
Please note that the worker will be able to submit 40 hours a week regardless of the hours worked. (Holiday/Red Days etc.).
Must have 4+ years of actual experience, not looking for new graduates
Must be Michigan local to go onsite for collaboration
Basic Requirements
4 +years of experience using data to solve problems, answer questions, and create visualizations
4 +years of experience in data quality analysis and data architecture
4 +years of professional development experience
4 +years of experience in Big Data technologies in Hadoop/Hive/Spark platform using Python/Scala
Master's degree in Statistics, Mathematics, Operations Research, Economics, Physics, Computer Science or other STEM fields preferred but will take bachelor's degree.
Key Responsibilities/Accountabilities
Work as an integral member within the Cadillac Strategic Innovations and Analytics team to provide key data science components to support the development of retail strategy.
Support Strategic Innovations and Analytics Manager by developing analytical solutions to improve business results.
Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation and visualization techniques to further enhance insight and internal performance optimization
Perform hands-on analysis, search pattern design, mining automation development and data reduction execution
Mentors others to develop analytical skill sets throughout the organization
Maintain the latest knowledge in software and hardware products or services, trends, and identify best solutions to meet business requirements
Establish strong working relationship with peer teams to review requirements/problem areas and establish the appropriate statistical techniques to apply on available data
Drive the collection of new data and the refinement of existing data sources
Develop best practices for instrumentation and experimentation and communicate those to peer teams
Analytics that support Complex Event Processing and Real-Time Event Processing in the context of Big Data
Acts as the subject matter expert for Data Analytics as it pertains both Predictive and Prescriptive analysis and ensure alignment with industry best practices
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