exmox

data analyst in mobile gaming

In short

Senior Data Analyst role at exmox, a mobile gaming company building consumer products across multiple brands, including a rewarded user acquisition product. The role works across Product, Sales, Marketing, Finance, Fraud, and LiveOps teams, turning ambiguous business questions into structured analyses using Claude, Databricks/Spark, SQL, and Python. Requires 5+ years of product/business/behavioral analytics experience and hands-on AI tool usage; hybrid work in Hamburg with office days Tuesday–Thursday.

О компании
exmox builds high-performing consumer products across multiple brands in the mobile gaming industry. Its rewarded user acquisition product is part of a major innovation in the industry.
Задачи
•Partner with Product, Sales, Marketing, Finance, Customer Support, Fraud, and LiveOps teams to clarify ambiguous problems and support decisions with evidence
•Turn vague business questions into structured hypotheses, experiments, and decision-ready analyses
•Use Claude and Databricks for analysis and automation, including work with high-frequency data updated every few minutes
•Track and analyze product, campaign, revenue, and profitability performance, focusing on the areas where decision support is most needed
•Build dashboards and self-service tools for teams to monitor performance
•Identify tracking and data quality gaps and help improve instrumentation across domains
•Quickly absorb new business context when moving to a different stakeholder team and contribute decision-ready work within weeks
•Share thinking openly, from prototypes to final recommendations, to help the team learn faster
•Shape prioritization, budget allocation, and go/no-go decisions across Product, Sales, Marketing, and Finance
•Surface risks and opportunities, including margin erosion, engagement drops, and high-LTV pockets, early
•Use Claude to accelerate analytics and advance the team's tooling
Требования
•5+ Years of experience in product, business, or behavioral analytics
•Hands-on experience using AI tools such as Claude in daily workflows
•Strong Databricks and/or Spark experience, with several years of hands-on exposure
•Strong SQL and Python skills for analysis, automation, and modeling
•Experience with BI tools such as Tableau, Looker, or similar
•Ability to frame ambiguous questions as structured hypotheses and evaluate experiments, including A/B tests and incrementality
•Strong communication skills and ability to influence technical and non-technical stakeholders with structured, data-driven arguments
•Comfortable working independently in fast-paced, international environments
Будет плюсом
•Experience across multiple domains such as product, marketing, finance, or commercial operations
•B2C, mobile gaming, or AdTech experience
Условия
•Transport subsidy, learning budget, wellness and gym benefits, workation, and bi-weekly team lunches
•Flexible hybrid model in Hamburg: work from home on Mondays and Fridays and from the office on Tuesdays, Wednesdays, and Thursdays

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