Course5i - Senior Consultant - Marketing Mix Modeling

Job Summary:

- We are seeking a highly analytical and experienced Senior 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).

- Experience: Approximately 1-6 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. , pricing, forecasting, customer analytics) is a plus