Business Data Analyst **Job Description** At Lutech Resources, we thrive by making you successful. On any given day, more than 3,000 individuals go to work at Lutech Resources jobs. When you partner with us, you’re joining a team that: · Appreciates your distinctive talents, skills, and perspective · Provides forthright feedback and career guidance · Connects you with prized and coveted employers · Strives to help you achieve your career objectives · Presents first-rate careers with global corporations Position: Business Analyst Type: Full-Time-Direct Pay: Based on experience No corporate sponsorship is offered in conjunction with this job. PRIMARY RESPONSIBILITIES: + Understand system relationships for the Aftermarket/Manufacturing and related processes, utilizing Python for data extraction and manipulation. + Evaluate Aftermarket (Spares/Service/Repair) business processes, anticipating requirements, identifying improvement areas, and utilizing Python for data analysis and process optimization. + Assist in developing and implementing systems solutions for process improvements and automation within the Operational Excellence group + Provide supporting evidence using advanced analytics to guide the business user community. + Assist and documenting change requirements for future process changes/improvements. + Report ongoing business issues relating to processes/systems, leveraging Python for data-driven insights and reporting. + Assist senior management to provide strategic direction and developing, implementing, and monitoring goals, objectives, priorities, and procedures relating to the organization, using Python for data-driven decision-making. + Understand the Aftermarket (Spares/Service/Repair) strategy and working toward continuous business process improvements based on immediate and future business needs, utilizing Python for data analysis and process innovation. + Apply process innovation to overcome organizational problems and drive efficiency + Complete set tasks within the Operational Excellence group's work areas, leveraging Python for data analysis and process optimization. + Assist with design and reports with metrics used to demonstrate efficiency and effectiveness, identifying roadblocks, and assessing impact to project plans, using Python for data analysis and reporting. + Develop priorities and communicate with support functions while taking an active role in problem resolution as require. + Participate in training where required. + Contribute to general improvements in the quality and key activities of the department/area. + Carry out job requirements in accordance with established procedures and specifications. + Be safety conscious and report any safety hazards to HSE. + Responsible for and the authority to maintain and promote a safe working environment in accordance with the appropriate HSE procedure(s). + Other duties as assigned by management and leadership within operational excellent group. EDUCATION & EXPERIENCE QUALIFICATIONS + Minimum of 8 years of experience in a business process-related role, with a strong background in consulting, project management, and Python for data analysis and automation. + Exceptional conceptual thinking skills, with a global mindset and expertise in Python for data analysis and process optimization + Bachelor's degree in Business, Data Science, or a related field required; MBA or equivalent advanced degree preferred. JOB REQUIREMENTS + Strong proficiency in Python for data analysis, automation, and process optimization, with a solid proficiency in Microsoft Office suite particularly Excel. Proficiency with Excel formulas, pivot tables, and graphing + Strong IS skillset in non-Microsoft applications, for data analysis, automation, and visualization + Experience with different methods for dealing with large, multi-dimensional data sets, including relational databases, SQL, and ETL + Highlight critical path activities that can affect project deadlines/deliverables + Maintain a high degree of situation awareness, leveraging Python for data analysis and insight generation. **Details** Employee Type Full-Time Regular Location Houston TX Date Posted 12/25/2024 Requisition ID 202483