Leverage data points to drive actionable insight and analysis, working closely with Growth Marketing teams to deliver impact across the customer lifecycle
Job Summary
Leverage data points to drive actionable insight and analysis, working closely with Growth Marketing teams to deliver impact across the customer lifecycle.
Build and maintain automated dashboards and data pipelines, create and automate new datasets for syndicated reporting, and work with omnichannel attribution measurement frameworks.
Design and conduct experiments and A/B tests, apply statistical rigor and causal inference to measure incrementality, and build ML models to drive decision making and optimization.
Matching Summary
Leverage data points to drive actionable insight and analysis, working closely with Growth Marketing teams to deliver impact across the customer lifecycle.
Skills & Requirements
Must-have
Python, SQL, R and visualization tools
Experimentation and A/B testing
Causal inference techniques
Big data tools like Hadoop, Spark
ML models for decision making
Customer lifecycle analysis
Nice-to-have
Growth marketing in e-commerce
Advertising platforms like Google, Meta
Optimizing CRM campaigns
Gen-AI workflows and LLMs
Key Requirements
5+ years of relevant experience
2+ years managing Analytics/Data Science teams
Bachelor's/Masters/PHD in quantitative disciplines
Experience with weblogs, clickstream, customer data
Knowledge of regression, classification, clustering models