Partner with Marketing/UA, Product, and Finance teams to define and investigate key questions related to acquisition performance and growth.
Support measurement of campaign performance (e.g., efficiency, quality, retention, LTV/ROI), and help improve how results are tracked and reported.
Build and maintain dashboards, datasets, and analysis pipelines that make performance data accessible and trusted.
Conduct deep-dive analyses to identify patterns, drivers, and opportunities across channels, geos, and audience cohorts.
Help develop and operationalise experimentation and incrementality approaches (e.g., A/B tests, geo tests) to evaluate marketing impact.
Communicate insights clearly, turning analysis into practical recommendations for stakeholders.
Collaborate with Analytics and Data Engineering to improve data quality, definitions, and instrumentation relevant to acquisition and attribution.

1–3 years of experience in analytics, data science, marketing analytics, consulting, or a similar role (tech/digital consumer experience a plus).
Strong Python skills for analysis and automation (e.g., pandas, notebooks) and strong SQL for data extraction and transformation.
Solid grounding in statistics and measurement concepts (e.g., confidence intervals, bias/confounding, experiment interpretation).
Comfort working with marketing/UA metrics and funnels (e.g., CPI/CAC, conversion rate, payback, retention) or strong interest in learning quickly.
Experience with data visualisation/storytelling (e.g., Looker, Tableau) and presenting insights to non-technical audiences.
Collaborative mindset, curiosity, and a practical approach to solving ambiguous business problems.

Associate Data Scientist

Key skills