Improve efficiency, reduce costs and ensure projects are completed on time and within budget. Use analytical skills and mathematical modeling to drive effective decision-making and project success. Create cost reduction strategies - identify areas where costs can be reduced without compromising quality. Assess the financial viability of projects, conduct scenario analysis, and make informed investment decisions. Analyze cost drivers, suggest cost-savings, and develop cost models to improve companys workflow and profitability. Understand and analyze current complex company operations to identify optimization opportunities. Create comprehensive roadmaps - goals, timeline, resources, milestones, and deliverables to drive projects and ensure project align with business needs. Collaborate with cross-functional stakeholders - directors, managers, management consultants, and vendors to gather and define operational processes and requirements to ensure successful outcomes. Utilize data analysis and statistical methods to extract operational insights and enable informed decision-making and choose best outcome. Help assess and implement new technologies to improve efficiency. Develop financial models to forecast revenue, expenses, cash flows, and investment return. Establish and overview quality standards for project deliverables ensuring the final product meets the desired level of quality and operational functionality. Work in resource management allocating resources - personnel, budget, and technology infrastructure to support project goals. Oversee projects and monitor resources to ensure successful outcome without incurring additional expenses. Plan and execute data migration strategies ensuring data is not lost during implementation of new operational procedures. Develop and implement testing plans ensuring new processes function correctly and meets business requirements. Simulate the performance of a new software across different business units or determine efficiencies needed across the business to optimize outcomes. Use probabilistic modeling techniques to assess and qualify risk associated with decisions and projects. Build change management strategies to help employees adapt to new operational processes addressing resistance and ensuring a smooth transition. Gather data to present the results of mathematical modeling and data analysis to stakeholders through dashboards. Identify bottlenecks, determine road blockers, and assess financial viability of projects through scenario analysis and analyze the impact on different scenarios. Formulate mathematical or simulation models of new processes to predict project outcomes, resource usage, and potential risk of changes through Monte Carlo simulations. Prepare executive reports defining problem evaluation and recommended solutions. Predict future outcomes to make informed decisions and increase employee efficiency. Break company systems into components assigning numerical values to each component, and examining their relationships between the different systems. Develop and improve business methods and procedures including accounting systems, computer systems, office systems, human resources systems, logistics systems, and production schedules. Define data requirements and gather and validate information applying judgment and statistical tests.