IT Data Analyst 5

Role: IT Data Analyst Location: Warren, MI (Day one onsite, Hybrid) Duration: Long term Rate: Market Need a USC/ GC as per client request Job Description: The energy at our company is contagious. We're driven by our immense passion, as we constantly seek out challenges and identify new opportunities. We work hard to connect with our customers and earn their loyalty for life. Bring your talent to our company - our opportunities for growth span the globe. We will give you the training and opportunities to unleash your ambition. Must have 4 years of actual experience, not looking for new graduates Must be Michigan local to go onsite for collaboration Video SSV expected, will be reviewing resumes as they are submitted QUALITY, well formatted, and ensuring there are little to no grammatical errors Very SHARP technical skills IMMACULATE communication and presentation skills Auto industry preferred, not required R can be very helpful, but python experience is required Math background can also be very nice to have Key Responsibilities/Accountabilities Work as an integral member within the client's 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 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.