Responsibilities

• Lead the creation of predictive models to enhance marketing strategies, optimize budget allocation, and measure return on investment (ROI)
• Develop and implement advanced econometric and statistical models to analyze and forecast marketing effectiveness and consumer behavior
• Conduct in-depth statistical analysis on large scale marketing datasets to identify trends, opportunities, and risks
• Collaborate closely with marketing, analytics, and finance teams to interpret modeling outcomes and provide actionable insights
• Continuously refine forecasting methodologies by leveraging new statistical techniques and industry best practices
• Ensure model accuracy, robustness, and scalability through rigorous testing, validation, and ongoing monitoring
• Clearly communicate complex econometric findings to stakeholders through presentations, reports, and visualizations
• Mentor senior and mid-level analysts, providing guidance on econometric methods, statistical programming, and best practices in data modeling

Qualifications

• Masters or Ph.D. in Economics, Statistics, Econometrics, Marketing Analytics, or a related quantitative discipline
• 5 years of hands-on experience in econometric modeling, statistical forecasting, and predictive analytics, preferably within a marketing or consumer facing environment
• Expert-level proficiency with econometric and statistical modeling techniques, including regression analysis, time series forecasting (e.g., ARIMA), causal inference, and predictive modeling
• Strong experience with statistical programming languages such as R, Python, or Stata
• Proven track record in analyzing marketing data, including campaign performance, media mix modeling, customer segmentation, and ROI analysis
• Excellent analytical skills with the ability to translate complex statistical concepts into actionable business recommendations
• Strong communication and presentation skills, capable of effectively explaining technical results to both technical and non technical audiences
• Ability to independently manage complex projects, prioritize tasks, and meet tight deadlines
• Collaborative mindset and experience working cross functionally in fast paced, data driven environments

Conditions & Benefits

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Relocation package offered for candidates from other regions
• Access to professional counseling services including psychological, financial, and legal support
• Discount club membership
• Diverse internal training programs
• Partially or fully paid additional training courses
• All necessary work equipment