Distribution Analytics Lead – Senior Marketing Data Scientist

About the role

As the Distribution Analytics Lead you will head a high‑impact team that transforms complex marketing and distribution data into faster, smarter decisions for Outfit7’s portfolio of mobile games. You will define measurement frameworks, drive advanced testing methods and partner with product and leadership to scale growth across every channel.

Key responsibilities

• Build, lead and grow a team of analysts and data scientists supporting Marketing, Growth and Distribution.
• Set the Distribution Analytics roadmap, prioritising work that maximises profit growth and channel performance.
• Partner with Product and senior leadership to translate business goals into analytical initiatives.
• Own and continuously improve measurement frameworks for paid user acquisition (LTV, ROAS, predictive payback, bidding inputs).
• Drive adoption of incrementality testing, geo‑experiments and Marketing Mix Modeling.
• Champion organic growth analytics and measure store performance.
• Establish experimentation standards, statistical guardrails and clear decision frameworks.
• Define technical standards for clean data pipelines, reproducible analyses and well‑documented internal tools.
• Represent Distribution Analytics in cross‑functional forums and communicate findings to senior leadership.

Required profile

• Proven leadership experience hiring, developing and retaining analytics talent.
• Strategic thinker who can link analytical work to commercial outcomes.
• Strong stakeholder management and ability to partner with non‑technical leaders.
• Excellent communication and presentation skills in English.

Required skills

• SQL
• Python or R (advanced proficiency for statistical analysis, modelling and visualisation)
• Statistical analysis and predictive modelling
• Measurement frameworks for LTV, ROAS and attribution
• Incrementality testing, geo‑experiments and Marketing Mix Modeling
• A/B testing and quasi‑experimental design
• Clean, scalable data pipelines and reproducible analysis workflows
• Documentation of internal analytical tools