Sr. Consultant - Market Mix Modeling

You are invited to join our Analytics team as a Senior Consultant, specializing in Marketing Mix Modeling (MMM). In this role, you will lead projects to quantify the impact of marketing and business activities on key performance metrics such as sales and ROI. Your responsibilities will include: - Leading and managing day-to-day client data processing and project delivery in MMM engagements. - Applying econometric modeling techniques to assess the effectiveness of marketing and promotional campaigns. - Interpreting complex data and analytical results to generate actionable business recommendations. - Presenting findings through well-structured PowerPoint presentations tailored to client audiences. - Collaborating with cross-functional teams, including data scientists, consultants, and clients. - Performing R&D as needed to improve modeling accuracy or explore new techniques. - Automating repetitive tasks and data workflows using tools like VBA, R, or Python. - Supporting the development and implementation of advanced analytical frameworks and custom models. - Ensuring quality and consistency in deliverables across projects and industries. Desired qualifications for this role include: - Education: Graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field (M.Sc. or MBA preferred). - Senior Consultant Experience: Approximately 4-6 years of relevant experience, including hands-on work in Marketing Mix Modeling. - Strong understanding of econometric modeling and statistical analysis. - Proficiency in programming languages such as R, Python, or SAS. - Advanced skills in Excel (macros, pivot tables, complex formulas) and PowerPoint. - Experience with automation tools (VBA/R/Python) to streamline processes. - Exceptional verbal and written communication skills. - Strong project management, problem-solving ability, and a proactive, can-do attitude. - Ability to work independently as well as in a team-oriented environment. - Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) is a plus.,