Business Data Analyst

Schedule: 7:00AM TO 4:00PM, 7:30AM TO 4:30PM, OR 8:00AM TO 5:00PM

Hybrid 2 Days/Week after First 1 to 3 months 100% Onsite

ICP Bonus: 10%

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.

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 the company.
• Comply with all Company and Quality, Health Safety Environmental polices & procedures.
• Ensure compliance of the company overall objectives
• Other duties as assigned by management and leadership within operational excellent group.

Required

• 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.
• 3 years of Hands on Python experience
• Some Operations experience
• Exceptional conceptual thinking skills, with a global mindset and expertise in Python for data analysis and process optimization
• 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

Education

• Bachelor's degree in Business, Data Science, or a related field required; MBA or equivalent advanced degree preferred.