POSITION DUTIES:
- Analyze large-scale marketing datasets from multiple channels (e.g., paid search, social, display, email, affiliate) using statistical and computational techniques to evaluate performance, identify key trends, and optimize return on investment (ROI).
- Develop and maintain predictive and econometric models, including marketing mix models and attribution frameworks, to quantify the incremental impact of each marketing channel on conversions, revenue, and customer acquisition.
- Design and execute controlled experiments (A/B and multivariate tests) to assess the effectiveness of ad creatives, audience targeting, and bidding strategies, applying rigorous statistical validation methods.
- Create and automate data pipelines and dashboards to provide real-time insights into marketing performance and customer behavior for cross-functional stakeholders. 5. Apply machine learning algorithms and forecasting techniques to predict customer lifetime value (LTV), conversion probability, and channel performance trends.
- Collaborate with cross-functional teams (marketing, data engineering, finance, and product) to integrate data sources, ensure data quality, and align analytical insights with business objectives.
- Communicate findings and recommendations through clear data visualizations, reports, and presentations to both technical and non-technical audiences.
- Continuously evaluate and refine analytical methodologies to improve modeling accuracy, scalability, and business impact.
EXPERIENCE REQUIRED:
Master's degree in a quantitative field (e.g. Statistics, Analytics, Mathematics, Economics, Data Science, or similar). At least 2 years in a data analytics role, with a focus on performance or digital marketing. proficiency in SQL and data visualization tools, and knowledge of statistical analysis and A/B testing.