Job Description

KEY ACCOUNTABILITIES

• 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.

EXPERIENCE WE ARE LOOKING FOR

• 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.

NICE TO HAVE

• Familiarity with attribution concepts and tooling (e.g., MMM outputs, SKAN-style constraints, channel reporting nuances).
• Experience with causal/incrementality thinking.
• Experience working with product funnels or lifecycle metrics in a consumer app environment.
• Experience in a multi-sided marketplace and understanding it’s nuance & trade-offs

LOCATION

• This role is based in Austin, and we ask that you’re within a commutable distance to this office, so that you’re able to come onsite regularly to collaborate across engineering teams.
• We have a hybrid environment that requires you to be in the office Monday - Wednesday.
• Please note: We are unable to offer Visa sponsorship at this time