Data Analyst

Overview Mercedes-Benz: Building Exceptional Vehicles… and Careers! The best chapters in Alabama’s automotive success story are yet to come. The Mercedes-Benz automobile of the future will be different; greener, more efficient, safer, and even more fascinating. Only one thing will never change – It will wear a star. The vehicles we manufacture are the finished results of our skilled workforce, and we are hiring even more. We are looking for Specialists and Team Members to join us in crafting a wide variety of vehicles from the Mercedes-Maybach GLS SUV to our all-electric vehicles, including the EQS SUV and EQE SUV. Our Tuscaloosa County site is home to the production of Mercedes’ luxury SUV models, including electric vehicles. Just down the road in Bibb County, MBUSI has launched the production of high-performance lithium-ion batteries. Our two campuses are among the most advanced automotive manufacturing facilities in the world, with over 6 million square feet combined. MBUSI offers an excellent total rewards package including competitive compensation, health and life insurance, 401(k) matching program and defined contribution retirement plan, annual bonuses, tuition assistance, and paid holidays. On-site MBUSI resources such as childcare, medical center and fitness center are available for all to utilize. Our Team Members share a common goal to be the best luxury auto manufacturer in North America. MBUSI is committed to excellence and actively promotes positive team culture, teamwork, safety, quality, and continuous improvement. Mercedes-Benz, U.S. International, Inc. takes pride in being an Equal Employment Opportunities workplace. Mercedes-Benz U.S. International, Inc. is committed to equal opportunity regardless of race, age, ethnic origin, and any other characteristics classified under applicable Local and Federal laws. All qualified candidates are encouraged to apply for the opportunity to join us in electrifying the future! Purpose Purpose of the Position : Under general supervision, this position will serve as the primary lead for continuous evaluation and evolution of the HCM systems to help define and drive the overall HRIS roadmap and internal contact for the HCM systems and supervises the data processing function for the Human Relations Department in adherence to the Data Protection Act. Responsibilities Serves as the primary lead for collecting and analyzing sensitive data to improve human resource strategies and processes to increase the functional productivity of the department Automates, integrate, and configure human resource core processes by suggesting ways to increase the functional productivity and workflow of the HR department Act as HR lead for system implementation, including testing and configuration, security administration, query/report writing, and coordination and management of cross-functional teams within departments Coordination with Information Technology and the user community to identify areas of improvement and implement solutions for existing systems Manage requests for process improvements, system enhancements and development of new applications in alignment with the department strategic initiatives Acts as a resource and guide for managers as it relates to HR data and positions Ensures the highest level of accuracy for data entered into HR data systems to ensure successful data audits Audits data entry and database changes in HCM on a regular basis to review data accuracy and compliance Developing, documenting and maintaining all current and new HRIS process workflows for efficiency and compliance Supports HR staff by providing HR metrics for monthly, quarterly, and annual meetings Create standard or ad-hoc reports from HCM system for end users to ensure compliance with local, state, and federal reporting guidelines Assists with the support of all aspects of Human Relations as it relates to data requests, including but not limited to data availability, feasibility of requests, and technical support Adheres to organizational and department-specific safety, confidentiality, values, policies, and standards. Qualifications Education : Bachelor’s degree in Business Administration, Human Resources, Computer Science/Computer Engineering, Information Technology, or related area, and/or the equivalent combination of education and experience. Experience : A minimum of three (3) years' of relevant professional experience in data analysis, digitization processes and reporting. Skills and Certifications : Working knowledge of HRIS and/or Data Warehouse Advanced statistical and predictive analytics Advanced knowledge of statistical programming languages (R, Python, SQL) Experience with Machine Learning and AI Experience developing and working with robotic process automation (RPA) tools Proficiency in Microsoft Office (Excel, PowerPoint) Good communication skills (verbal and written) with management and other departments Ability to work in an interdisciplinary team, strong problem analysis and problem solving Project management and organizational skills #J-18808-Ljbffr