Job Description
A leading company in the tire industry is seeking a highly skilled Decision Support Lead to drive data-informed decision-making across the organization. In this critical role, you will lead efforts to analyze complex data sets, develop reporting frameworks, and provide actionable insights to support strategic initiatives. You will work closely with leadership and cross-functional teams to ensure that data-driven decisions are embedded in our operational practices and business strategies.Key Responsibilities: • Own and manage the development of pricing monitoring tools and dashboards, ensuring real-time insights into market trends, competitor activities, and pricing performance. • Lead pricing committees, driving alignment across teams to refine pricing strategies, conduct simulations, and deliver actionable recommendations. • Develop and execute comprehensive pricing strategies that align with ATG's commercial and financial goals, leveraging data-driven insights and scenario planning. • Conduct advanced commercial analyses, including evaluating promotions, assortment performance, and market competitiveness to support decision-making. • Perform ad hoc analyses to validate decisions across sales, operations, and supply chain functions, providing timely and accurate insights to support leadership. • Build predictive models and scenario simulations to evaluate the impact of strategic initiatives and optimize resource allocation. • Provide financial and commercial decision support by analyzing profitability, cost structures, and resource allocation to guide business strategies. • Collaborate with cross-functional teams to translate data-driven insights into practical, actionable strategies, ensuring alignment with business objectives. • Design and maintain reporting frameworks and dashboards to monitor key performance indicators and enable evidence-based decision-making. • Quantify market share and evaluate market positioning through detailed data analysis, identifying growth opportunities and strategic priorities. • Support leadership in evaluating new initiatives or operational changes through feasibility studies and scenario-based evaluations. • Drive the transition to data-driven decision-making by fostering a culture of analytics and enabling teams with robust insights and actionable plans. • Lead the implementation of initiatives, ensuring accountability and tracking progress to deliver measurable outcomes. • Conduct risk assessments and feasibility studies for operational and commercial initiatives, providing data-driven recommendations to mitigate risks and capitalize on opportunities. • Benchmark industry trends and incorporate innovative practices to maintain a competitive edge in decision-making and commercial strategy.
