Key Responsibilities
- Develop, implement, and optimize Market Mix Models to measure marketing effectiveness across channels.
- Analyze large datasets to identify patterns, trends, and actionable insights for marketing strategy.
- Collaborate with marketing, finance, and product teams to recommend budget allocation strategies based on MMM outcomes.
- Build predictive and simulation models to forecast campaign performance and ROI.
- Validate model assumptions, accuracy, and business relevance.
- Present complex analyses in a clear, concise manner to stakeholders and senior leadership.
- Automate data pipelines, reporting, and dashboards for ongoing MMM monitoring.
Required Skills
- Strong expertise in Market Mix Modelling end-to-end lifecycle (data gathering - modelling - insights - recommendations).
- Advanced statistical modelling techniques: regression, time series analysis, Bayesian methods, hierarchical models.
- Proficiency in Python and/or R for data modelling and analytics.
- Experience with SQL for data extraction and transformation.
- Solid understanding of marketing KPIs, media planning, and ROI measurement.
- Experience with large datasets and cloud data platforms (AWS, GCP, Azure optional but preferred).
- Excellent communication skills to present data-driven insights to both technical and non-technical stakeholders.
- Strong problem-solving skills with the ability to work independently.
Preferred Qualifications
- Experience in consumer goods, retail, e-commerce, or media sectors.
- Familiarity with data visualization tools (Power BI, Tableau, Looker, etc.
- Exposure to multi-touch attribution and other marketing analytics methodologies.
Skills: mmm, data scientist, marketing mix model.
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