Data Analyst, Growth
Analyse acquisition and activation funnels and turn the results into decisions the team acts on.
914 roles across 160 companies — filter by region or category.
Showing 21 of 21 matching positions (1–21)
Clear filtersAnalyse acquisition and activation funnels and turn the results into decisions the team acts on.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Hightouch's product suite.
Build the ingestion, storage and query layers that every team uses to reason about Instacart's commerce platform.
Optimise inference throughput and cost for the models running behind Instacart's commerce platform.
Build the ingestion, storage and query layers that every team uses to reason about Khan Academy's learning platform.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Khan Academy's learning platform.
Own the transformation layer and semantic definitions behind reporting on Mercury's financial platform.
Build the ingestion, storage and query layers that every team uses to reason about Mercury's financial platform.
Build the ingestion, storage and query layers that every team uses to reason about Robinhood's financial platform.
Optimise inference throughput and cost for the models running behind Robinhood's financial platform.
Train, evaluate and serve models that power Spade's financial platform at production scale.
Own the transformation layer and semantic definitions behind reporting on Spade's financial platform.
Design experiments and causal analyses that decide what ships next across Abridge's healthcare platform.
Own funnel, retention and feature adoption analysis for Abridge's healthcare platform.
Build and operate the batch and streaming pipelines that move data across Robinhood's financial platform.
Model user and system behaviour on Robinhood's financial platform and turn the findings into decisions the team acts on.
Answer the recurring commercial and operational questions about Plaid's financial platform with clear, reproducible analysis.
Analyse financial data quality metrics and connection success rates to identify improvement opportunities.
Analyse learner engagement and completion data to identify where students struggle and how content can improve.
Develop machine learning models that categorise and verify transaction data for fintech and banking customers.
Build the data pipelines and analytics infrastructure that power product insights and business intelligence.
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