Job Objective
As a Cost Data Analyst within the Supply Chain Planning, Governance and Analytics (SC-PGA), your primary responsibility will be to analyze and interpret cost data to support financial decision-making, cost optimization, and process improvement initiatives. You will work closely with cross-functional teams to gather, analyze, and present cost-related information, providing valuable insights and recommendations. This role requires strong analytical skills, attention to detail, and the ability to collaborate with stakeholders at all levels.
Key Duties and Responsibilities
- Cost Data Analysis: Collect, analyze, and interpret cost data from various sources to identify trends, patterns, and cost drivers. Conduct in-depth cost analysis and perform variance analysis to understand and explain cost fluctuations.
- Cost Optimization: Collaborate with cross-functional teams to identify cost-saving opportunities and support cost optimization initiatives. Analyze current cost structures, processes, and expenditures to identify areas for improvement and recommend cost-saving measures.
- Cost Modeling: Develop and maintain cost models to forecast and simulate cost scenarios based on various inputs and assumptions. Conduct sensitivity analysis to assess the impact of changes in key cost drivers on overall costs.
Financial Reporting: Prepare accurate and timely cost reports, including cost breakdowns, cost allocations, and cost performance analysis. Communicate cost analysis findings and recommendations to stakeholders, including senior management. - Process Improvement: Identify process inefficiencies, bottlenecks, and cost leakages through cost data analysis. Collaborate with process owners and stakeholders to develop and implement process improvements that enhance cost efficiency and control.
- Cost Benchmarking: Conduct benchmarking analysis to compare the SC-PGA's cost performance against industry standards, best practices, and peer organizations. Identify gaps and opportunities for cost improvement based on benchmarking results.
- Data Integrity and Quality: Ensure the accuracy, integrity, and quality of cost data by performing data validation checks, reconciliations, and data cleansing activities. Collaborate with data custodians to address data discrepancies and improve data quality.
- Stakeholder Collaboration: Work closely with finance, procurement, operations, and other cross-functional teams to gather cost-related information and collaborate on cost-related initiatives. Provide analytical support and insights to stakeholders on cost-related matters.
- Continuous Improvement: Continuously improve cost data analysis methodologies, tools, and reporting processes. Stay updated on industry trends, best practices, and advancements in cost analysis techniques.
