Business Data Analyst at NESC Staffing

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.