Our client is a fast-growing international product company with offices in Warsaw, Barcelona, and Virginia, plus a globally distributed team. Their culture is built on diversity, innovation, and collaboration, propelling us to the forefront of mobile app monetisation. They are united by a shared mission: empowering people to discover and grow their talents. Their cutting-edge platform and talented, globally dispersed team drive them forward.
In this high-impact role, you’ll lead our marketing analytics efforts across acquisition, retention, and monetisation. You'll act as the bridge between raw data, data science, and strategic decision-making, guiding campaigns and portfolio-level strategies for sustained growth.
Overview
Responsibilities
* Guide marketing analytics across paid UA, retention, and monetisation initiatives.
* Spot inefficiencies, trends, and growth potential throughout the user journey.
* Partner with Product, Creative, Monetisation, and UA teams to influence strategy.
* Design and analyse experiments (creative tests, targeting changes, LTV impact, etc.).
* Translate insights into actionable recommendations for leadership and execution teams.
* Collaborate with Data Science on forecasting, predictive models, and performance tracking.
* Develop scalable dashboards, reporting frameworks, and processes for faster decision-making.
* Help define long-term strategy by identifying new, data-driven growth levers.
* Conduct market research and analysis related to competitive landscape, market trends, and business development.
* Uncover insights and make recommendations based off of this analysis and research.
* Distil complex marketing analysis into clear, simple presentations.
* Track, analyse, and report marketing initiatives.
What You\'ll Bring
* 5+ years in marketing analytics for mobile gaming, with at least 1–2 years in a leadership or senior role.
* Deep understanding of UA mechanics, mobile ad ecosystems, and campaign performance metrics.
* Expert-level SQL; experience with large-scale databases like ClickHouse is a plus.
* Strong Python skills (Pandas, NumPy) for analysis and automation.
* Skilled at building dashboards and visual insights using Matplotlib, Seaborn, Tableau, Metabase, or Power BI.
* Proficient in A / B testing, from design to interpretation.
* Experience translating data science outputs into usable UA insights.
* Excellent communication, able to influence stakeholders and tell compelling stories with data.
* Strategic thinker who balances granular detail with the big picture.
* Familiarity with attribution tools (e.g., Appsflyer, Adjust), AdTech platforms, and UA automation.
Qualifications
* Bachelor's degree or equivalent experience
* 1-2 years' experience holding an analytical, sales, business development, or business intelligence role
* Strong analytical skills
* Proficient in Microsoft Office Suite
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