Yury Lebedev

- Leading key strategic projects and initiatives, optimizing processes, and improving analytics capabilities in Marketing and Business Operations - Developing brands and category forecasts, Marketing Mix Models, Performance Measurement, and providing Competitive Intelligence - Identifying data needs, conducting research, quantitative analysis, and hypothesis generation to deliver strategic insights and implement solutions for business priorities - Providing recommendations based on emerging trends, expansion opportunities, and competitive threats - Preparing Business Cases that include key assumptions, metrics, budget and necessary resources - Leading and preparing the Business Performance Reviews, Budget & Tactical Planning Cycles - Planning and developing strategic and long-range goals and identifying future growth opportunities - Development of the reporting and analytics framework, suggesting new perspectives and data models, and educating business stakeholders - Working closely with internal and external stakeholders on responding to business opportunities - Creating executive-level presentations to define actionable strategic recommendations

- Leading strategic projects, preparing work plans, defining priorities, gathering key metrics, and synthesizing relevant data - Managing and preparing the business reviews (Business Performance, Sales & Operations, Launch Readiness, Tactical Planning, Budget Planning, Annual and Long-Range strategic planning) - Designing KPI tracking systems and performance dashboards; developing product models; preparing local and global markets performance overviews - Developing business cases for strategic initiatives that include key assumptions, planned return on investment, risks and opportunities - Analyzing relevant data such as competitive information, historical performance, and market data to develop forecasts in support of plans - Design and lead research projects related to market and industry trends, competitive intelligence, and consumer profiles - Monitor progress of teams and projects, review the output and provide a summarized view of progress, milestones, and issues - Lead cross-functional project teams to identify, analyze, and develop project plans

- Leading the development and deployment of Marketing Mix Modeling, Price & Promotion Analytics, Simulation & Optimization, Market Segmentation, and Digital Analytics to enable data-driven decision making - Measure and optimize marketing strategies and investments - Drive and implement data strategy and analytics tools (IQVIA IMS, Headway, Ipsos Comcon, GfK, DSM, AlphaRM, Proxima, Nicholas Hall, Nielsen, Google Analytics, CRM, finance, media agencies) to develop strategic insights and point of view on key competitive developments, implications to the business, and recommendations - Managing supplier selection, activity, and workflow to ensure timely completion of projects - Implementing a strategy around Business Intelligence needs with appropriate dashboards and KPI reports - Designing innovative research and learning plans according to business objectives - Managing the cross-functional teams and stakeholders from relevant departments

- Leading the development of Marketing Mix Modeling, MROI, Price & Promo optimization, Sales & Marketing Analytics, Product launches performance, Market segmentation, and Competitive Intelligence for the Pharma and FMCG clients - Implementing Marketing Optimization, Descriptive and Predictive Analytics, and Market Analytics to deliver insight into strategic risks and opportunities - Social Media Intelligence Models to predict connection to sales and brand monitoring - Identify growth opportunities and develop strategic insights on market trends, competitive developments, and new product launches - Measure and optimize media and trade channels performance including e-commerce, and trade strategies and executions including distribution, price/promo/mix, and the assortment optimization - Collaborate with internal and external stakeholders (Marketing team, Media & Digital teams, Trade, Finance, Business Operations & Analytics, and CMI) - Manage domestic and international teams and ensuring clear priorities, timelines and project requirements - Drive and train the organization on key tools, processes, and analyses

- Develop statistical and algorithmic predictive models - Produce data summaries, tables, charts, visualizations, and maps that provide insight into the business - Defining data requirements and preparing modeling datasets - Extract, explore and analyze data - Presenting results and providing actionable recommendations