Analyst.Data Science.IV

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.