# Senior Data Analyst (Marketing) at Huuuge Games > Hybrid · Poland · Senior · Analytics / Data science · open. Source: https://alderhq.app/jobs/recruitee%3Ahuuuge%3A2638486 (read 2026-11-11). ## Facts (observed) - Company: [Huuuge Games](https://alderhq.app/companies/huuuge-games) - Location text: Warszawa, Mazowieckie, Poland - Where it can be done from (inferred): Hybrid · Poland (evidence: "Location: Warszawa, Mazowieckie, Poland") - Posted: 2026-06-12 (152 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://huuuge.recruitee.com/o/senior-data-analyst-marketing - Skills listed (inferred): Python, SQL ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) At Huuuge Games, we make top-grossing mobile games that bring people together through fun and social mobile gaming. As a Senior Data Analyst, you'll join a Marketing team where you’ll be at the center of how we acquire players, invest our marketing budget, and understand what actually drives growth - turning data into decisions that reach millions of players worldwide. This is a role with real autonomy, real stakes, and genuinely interesting problems. If you're excited by work that directly shapes strategy, a team that values initiative over instruction, and the chance to drive impact at scale - this is where you want to be. We are an in-office-first company and operate in a hybrid model (3 days from the office). ### How will you make an impact with us? As a Senior Data Analyst working in the Marketing team at Huuuge, you'll be a trusted partner to Marketing stakeholders across UA, ASO, Creative, helping turn data into decisions and identifying opportunities before they become requests. This is a high-ownership role where your work directly shapes marketing strategy, budget allocation, and business performance. Build and own analyses that answer the big Marketing questions: Is our spend efficient? Where should we double down? What's driving a drop in player acquisition? Design and maintain dashboards that give Marketing stakeholders a clear, always-on view of performance - and flag anomalies before anyone asks. Proactively identify opportunities and problems in data, propose solutions, and drive initiatives end-to-end - from a vague business question all the way to a stakeholder presentation Collaborate daily with UA, ASO, Creatives, Data Science, and Product - being the analytical backbone that connects them. Translate complex findings into clear, actionable recommendations that non-data audiences can quickly understand and confidently act upon. Contribute to automation that reduces recurring manual work and frees the team for higher-value analysis. ### Requirements ### This is the right job for you if you have Advanced SQL - complex queries, aggregations, window functions feel natural to you. Working proficiency in at least one BI tool (Tableau preferred; Looker or Power BI also welcome). Familiarity with Python for analytics (data manipulation, exploratory analysis, basic modeling). A proactive communication style - you keep stakeholders informed without being asked, and you raise your hand when priorities need to shift. The ability to ask the right business question before reaching for a methodology, and you're willing to challenge your own assumptions when the data tells a different story. Confidence presenting findings to senior stakeholders - you adapt your language to the audience and enjoy making complex things simple. Proficiency in translating complex analyses into clear, compelling narratives for non-technical audiences - and those conversations energize you rather than drain you. Thrive in fast-paced, ambiguous environments where priorities shift, ownership is expected, and no one needs to tell you what to work on next. ### Surprise us with Hands-on experience in mobile gaming, mobile apps, or e-commerce (especially around UA or growth analytics). Familiarity with incrementality testing, ROAS modelling, or LTV/payback curve analysis Knowledge of Databricks or similar data lakehouse environments. Any applied use of AI or ML tools in an analytics workflow. A genuine habit of staying current - papers you've read, tools you've experimented with, something you learned and actually applied. Passion for mobile games, understanding player behavior, and modeling game economy. ### We thought you’d appreciate --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Ahuuuge%3A2638486 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.