Role: Manufacturing Operations Business Data Analyst

Work Location: Houston (hybrid)

Number of Positions: 1

Type: Fulltime

Industry: Energy Services

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 CANDIDATES MUST BE LOCAL TO HOUSTON, TX.

MUST HAVE EXPERIENCE OUTSIDE OF TECHNICAL DOMAIN AT SOME POINT IN CAREER, IDEALLY WILL HAVE STARTED WITHIN A MANUFACTURING OPERATIONS ROLE BEFORE MOVING INTO DATA ANALYSIS. MUST HAVE SOME OTHER DOMAIN EXPERIENCE TO BE CONSIDERED

Summary:

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.

Key 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 organization
• Comply with all 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.

Qualifications:

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.