Sr Consultant

As a Senior Consultant specializing in Marketing Mix Modeling (MMM) within the Analytics team, your role will involve leading projects that assess the impact of marketing and business activities on key performance metrics. You will utilize statistical and econometric methods to provide valuable insights, automate solutions, and facilitate strategic decision-making across various industries. **Key Responsibilities:** - Lead and oversee client data processing and project delivery for MMM engagements on a daily basis. - Utilize econometric modeling techniques to evaluate the effectiveness of marketing and promotional campaigns. - Analyze complex data and interpret analytical results to formulate actionable business recommendations. - Deliver findings through well-structured PowerPoint presentations tailored to suit client audiences. - Collaborate with diverse teams, including data scientists, consultants, and clients. - Conduct research and development activities to enhance modeling accuracy or explore innovative techniques. - Automate repetitive tasks and data workflows using tools like VBA, R, or Python. - Assist in developing and implementing advanced analytical frameworks and custom models. - Ensure consistency and quality in deliverables across various projects and industries. **Desired Qualifications:** - 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, with practical involvement in Marketing Mix Modeling. - Proficient in econometric modeling and statistical analysis. - Proficiency in programming languages like R, Python, or SAS. - Advanced skills in Excel (macros, pivot tables, complex formulas) and PowerPoint. - Experience with automation tools (VBA/R/Python) for process optimization. - Excellent verbal and written communication skills. - Strong project management, problem-solving skills, and a proactive attitude. - Ability to work independently and collaboratively in a team environment. - Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) would be advantageous.,