Consultant - MMM

Job Summary:

We are seeking a highly analytical and experienced Consultant to join our Analytics team, specializing in Marketing Mix Modeling (MMM). In this role, you will lead projects that quantify the impact of marketing and business activities on key performance metrics such as sales and ROI. You will apply statistical and econometric methods to deliver actionable insights, automate solutions, and support strategic decision-making across a variety of industries.

Key Responsibilities:

• Lead and manage day-to-day client data processing and project delivery in MMM engagements.
• Apply econometric modeling techniques to assess the effectiveness of marketing and promotional campaigns.
• Interpret complex data and analytical results to generate actionable business recommendations.
• Present findings through well-structured PowerPoint presentations tailored to client audiences.
• Collaborate with cross-functional teams, including data scientists, consultants, and clients.
• Perform R&D as needed to improve modeling accuracy or explore new techniques.
• Automate repetitive tasks and data workflows using tools like VBA, R, or Python.
• Support the development and implementation of advanced analytical frameworks and custom models.
• Ensure quality and consistency 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).
• Senior Consultant Experience: Approximately

  2-4 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.