Market Mix Modelling

Job Summary:

Consultant

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).

• 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.