Job Description
Job Description
THIS POSITION WILL BE 100% ON-SITE FOR THE FIRST 1-3 MONTHS, THEN A HYBRID SCHEDULE IS AVAILABLE, WORKING 3 DAYS IN THE OFFICE AND 2 DAYS REMOTE PER WEEK.
Fortune 500 company
Location West Houston
TOP REQUIREMENTS : (MUST BE CLEARLY SHOWN ON ALL RESUMES)
Independently handled the entire project lifecycle, from collecting business requirements to presenting visualizations to stakeholders.
- MUST HAVE AT LEAST 8 YEARS OF OVERALL PROFESSIONAL EXPERIENCE WORKING OUTSIDE OF IT DEPARTMENTS
- MUST HAVE BUSINESS ACUMEN BEYOND DATA ANALYTICS (PREVIOUS OPERATIONS EXPERIENCE IS REQUIRED)
- MUST HAVE AT LEAST 3 YEARS OF HANDS-ON PYTHON EXPERIENCE
- MUST HAVE SOME EXPERIENCE WITH SNOWFLAKE AND OPERATIONS EXPERIENCE OUTSIDE IT
- LOOKING FOR CANDIDATES THAT HAVE PREVIOUS EXPERIENCE IN THE MANUFACTURING INDUSTRY, SUPPORTING LARGE MANUFACTURING FACILITIES
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).
- Participate in actions which promote a safety and quality culture.
- Comply with all Company and Quality, Health Safety Environmental polices & procedures.
- Ensure compliance of the companys overall objectives
- 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.
11 days ago