As a Senior Consultant specializing in Marketing Mix Modeling (MMM) within the Analytics team, your role will involve leading projects to quantify the impact of marketing and business activities on key performance metrics such as sales and ROI. You will utilize statistical and econometric methods to provide actionable insights, automate solutions, and support strategic decision-making across various industries.

Key Responsibilities:
- Lead and manage day-to-day client data processing and project delivery in MMM engagements.
- Utilize econometric modeling techniques to evaluate the effectiveness of marketing and promotional campaigns.
- Interpret complex data and analytical results to generate actionable business recommendations.
- Deliver findings through structured PowerPoint presentations tailored to client audiences.
- Collaborate with cross-functional teams, including data scientists, consultants, and clients.
- Conduct research and development to enhance modeling accuracy or explore new techniques.
- Automate repetitive tasks and data workflows using tools like VBA, R, or Python.
- Assist in the development and implementation of advanced analytical frameworks and custom models.
- Ensure consistency and quality in deliverables across 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).
- Experience: Approximately 1-6 years of relevant experience, with hands-on involvement in Marketing Mix Modeling.
- Proficient in econometric modeling and statistical analysis.
- Skilled in programming languages such as R, Python, or SAS.
- Advanced proficiency in Excel (macros, pivot tables, complex formulas) and PowerPoint.
- Experience with automation tools (VBA/R/Python) to streamline processes.
- Excellent verbal and written communication skills.
- Strong project management, problem-solving abilities, and a proactive, can-do attitude.
- Ability to work independently and in a team-oriented environment.
- Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) would be advantageous. As a Senior Consultant specializing in Marketing Mix Modeling (MMM) within the Analytics team, your role will involve leading projects to quantify the impact of marketing and business activities on key performance metrics such as sales and ROI. You will utilize statistical and econometric methods to provide actionable insights, automate solutions, and support strategic decision-making across various industries.

Key Responsibilities:
- Lead and manage day-to-day client data processing and project delivery in MMM engagements.
- Utilize econometric modeling techniques to evaluate the effectiveness of marketing and promotional campaigns.
- Interpret complex data and analytical results to generate actionable business recommendations.
- Deliver findings through structured PowerPoint presentations tailored to client audiences.
- Collaborate with cross-functional teams, including data scientists, consultants, and clients.
- Conduct research and development to enhance modeling accuracy or explore new techniques.
- Automate repetitive tasks and data workflows using tools like VBA, R, or Python.
- Assist in the development and implementation of advanced analytical frameworks and custom models.
- Ensure consistency and quality in deliverables across 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).
- Experience: Approximately 1-6 years of relevant experience, with hands-on involvement in Marketing Mix Modeling.
- Proficient in econometric modeling and statistical analysis.
- Skilled in programming languages such as R, Python, or SAS.
- Advanced proficiency in Excel (macros, pivot tables, complex formulas) and PowerPoint.
- Experience with automation tools (VBA/R/Python) to streamline processes.
- Excellent verbal and written communication skills.
- Strong project management, problem-solving abilities, and a proactive, can-do attitude.
- Ability to work independently and in a team-oriented environment.
- Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) would be advantageous.