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Open nowFirst seen 47 days ago

Senior Data Analyst (Marketing)

Huuuge Games7 open roles

Where
Warszawa , Mazowieckie, Poland
Work mode
Hybrid
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Your applicationOpen nowSenior Data Analyst (Marketing)Huuuge Games · Warszawa , Mazowieckie, Poland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Huuuge Games's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Huuuge Games postings stay open a median of 36 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.8%30 days
  6. 59.1%60 days
This job: first seen 47 days ago

Huuuge Games median: 36 days open

The posting

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.

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:

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