Econometric Modeling Expert

1 day ago

Kozhikode, Kerala, India beBeeMarketing Full time ₹ 60,00,000 - ₹ 1,40,00,000
Market Mix Modeling Specialist

We are seeking a highly analytical and experienced professional to join our team as a Market Mix Modeling expert. In this role, you will lead projects that quantify the impact of marketing activities on key performance metrics such as sales and ROI.

Key Responsibilities:

  • Lead client data processing and project delivery in Market Mix Modeling engagements.
  • Apply econometric modeling techniques to assess the effectiveness of marketing campaigns.
  • Interpret complex data and analytical results to generate actionable business recommendations.
  • Present findings through well-structured presentations tailored to client audiences.
  • Collaborate with cross-functional teams including data scientists, consultants, and clients.
  • Perform R&D to improve modeling accuracy or explore new techniques.
  • Automate repetitive tasks and data workflows using tools like R, Python, or VBA.
  • 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 Market 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 (R/Python/VBA) 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.

The ideal candidate will have a strong background in econometric modeling, statistical analysis, and data visualization. They will be proficient in programming languages such as R, Python, or SAS and have experience working with large datasets. The candidate should also have excellent communication skills and be able to present complex data insights to both technical and non-technical stakeholders.

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