Location: Houston,TX, USA
Fulltime 09/24/2024 Day Job ***EDUCATION REQUIRED - BACHELOR'S DEGREE IN BUSINESS, DATA SCIENCE, OR RELATED FIELD*** SCHEDULE: FLEXIBLE START AND END TIMES - 7:00AM TO 4:00PM, 7:30AM TO 4:30PM, OR 8:00AM TO 5:00PM 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. NO RELOCATION OFFERED. ALL CANDIDATE MUST BE LOCAL TO HOUSTON, TX. ICP BONUS: 10% JOB ROLE: As a key member of the Operational Excellence Group, this position involves leveraging a strong background in analytics, consulting, and project management to drive process improvements and automation within the Aftermarket/Manufacturing domain. 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 within NOV. - Comply with all NOV Company and Quality, Health Safety Environmental polices & procedures. - Ensure compliance of the company?s 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. 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. - Arrange remote meetings and work groups with business leaders and/or SMEs in a matrixed organization BEHAVIORAL COMPETENCIES - Action-oriented, goal-driven, with a clear analytical mindset and the skills to work in an agile manner to accommodate business requirements, leveraging Python for data-driven decision-making and automation. - Excellent listening, oral, interpersonal, and written communication skills, with self-motivation and strong problem-solving capabilities, both as an individual and as part of a team/workgroup. - Able to influence others/build consensus with peers and business, with a strong background in consulting, project management, and Python for data analysis and automation.