The company is looking to solve the problem of measuring the effectiveness of marketing across all paid and owned channels.
Requirements
- Significant experience with SQL and large unstructured datasets such as Hadoop
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python
- Experience in using open source packages for incrementality tests(e.g. Meta’s Geolift, Google’s Causal Impact) and MMM (Google’s Meridian, Lightweight MMM or Meta’s Robyn)
- Experience with predictive modeling, machine learning, and experimentation/causal inference methods
- Robust knowledge of marketing measurement methods (eg. causal inference, attribution, MMM)
Responsibilities
- Evaluate and improve marketing measurement leveraging techniques such as MMM, MTA and incrementality testing
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Other
- Bachelors’ or above in quantitative discipline
- 8-10+ years experience using analytics to drive key business decisions
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Strong verbal and written communication skills
- Master's or Ph.D. Degree in a quantitative field
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Understand what matters most and prioritize ruthlessly
