Sr Con - Marketing Mix Modelling ( Marketing Analytics )

Job Description Proficiency in Python scripting for data analysis and model development. Analyze marketing data to identify trends and areas for improvement. Conduct MMM analysis to evaluate the effectiveness of various marketing channels and strategies. Create and manage marketing performance reports to optimize marketing campaigns and strategies. Collaborate with cross-functional teams to gather and analyze data requirements. Ensure data accuracy and integrity in all reports and dashboards. Provide actionable insights and recommendations based on data analysis. Develop predictive models to forecast marketing performance and optimize budget allocation. Stay up-to-date with industry trends and best practices in marketing analytics and retail. Required Skills and Qualifications: Proficiency in Python scripting, SQL, and PowerBI for data analysis and visualization. Strong knowledge of statistical modeling techniques and their applications in marketing mix modelling, including: Linear regressionTime series analysis Multivariate techniques Conjoint analysisExperimentationExperience with MMM evaluation techniques, such as: Baseline vs. Incremental Sales Segmentation: Separating natural sales from those driven by marketing efforts.Sales Trend Analysis: Tracking patterns and trends over time.External Factors Consideration: Including variables like economic conditions, competitor actions, and seasonal factors.5 years of experience in marketing analytics, MMM, and data-driven decision-making.Excellent analytical and problem-solving skills.Strong communication skills to present data insights to stakeholders.Ability to work independently and as part of a team.Knowledge of retail industry practices and trends.

Qualifications

Graduate