Senior Analytics Engineer - Marketing
Whow GamesHamburghybridsenior6-10 yearsTrending: 84 views
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Description
We are Whow Games — and you can become part of it!
We are a team of more than 50 people from a wide range of nationalities: passionate gamers, experienced game developers, and marketing professionals dedicated to the planning, development, publishing, and distribution of engaging products. We love what we do — and that’s what makes us successful.
As part of our team at our headquarters in Hamburg, you will work every day on outstanding products and player experiences, while continuously growing both personally and professionally. Join our exceptional team, work with the latest hardware, benefit from a variety of partnerships, and shape the Whow journey together with us.
In this role, you will own the data infrastructure and measurement intelligence that drives our marketing decisions. As the single point of contact between Data and Marketing, you will partner directly with our Director of User Acquisition and Marketing PM to turn raw signals into budget decisions, channel strategies, and LTV insights — across both new and highly competitive markets.
Tasks
Own and operate our marketing measurement stack, including Funnel Measurement (MMM, MTA, incrementality), AppsFlyer, and Funnel.io, ensuring data quality, model integrity, and actionable outputs across all paid channels
Build and maintain scalable dbt data models and Tableau dashboards that enable self-service reporting on UA health metrics (Cohort ROAS, CPL trends, payback periods, LTV curves)
Develop predictive LTV models for hybrid monetization (IAP + Ad Revenue) and own SKAdNetwork conversion value schemas for iOS
Translate measurement outputs into concrete budget recommendations and channel mix decisions for senior stakeholders. You're the person who explains why a channel is over- or undervalued and what to do about it
Own the full marketing data collection layer, from tracking specs and tag management (GTM, server-side) to first-party event design and data contracts with Product and Engineering, ensuring every relevant user action is captured correctly and flows reliably into the measurement stack.
Design and oversee A/B tests for store pages (ASO/CPP), creative concepts, and bid strategies to optimize the full conversion funnel
Conduct market segmentation and customer journey analysis to uncover acquisition and retention opportunities
Collaborate with Data Engineering to ensure reliable data pipelines between AppsFlyer, ad networks, and our BI stack
Requirements
Required:
4+ years in Marketing Analytics, Analytics Engineering, or a closely related role in B2C or mobile
Strong SQL and Python for data modeling, analysis, and predictive modeling (e.g., D180 LTV forecasting)
Hands-on experience with dbt and Tableau (or comparable BI tools)
Deep understanding of marketing measurement (MMM, MTA, incrementality testing) and the ability to critically evaluate and act on model outputs, not just run them
Mobile ad tech fluency: AppsFlyer or Adjust, SKAdNetwork, programmatic/DSP mechanics
Proven ability to communicate complex data clearly to senior non-technical stakeholders
Proactive and ownership-driven: You close the loop from pipeline to business impact
Fluent English
Preferred:
Experience with Funnel Measurement or comparable unified measurement platforms (e.g., Northbeam, Rockerbox)
Gaming or high-growth product company background
Experience with ad mediation platforms (Max, LevelPlay)
Familiarity with Google Ads, Meta Ads, and campaign-level attribution workflows
Practical experience with AI tools (Claude Code, Cursor, LangChain, n8n)
Fluent German
Benefits
You benefit from a professional team with many years of experience in the industry
A dynamic environment with flat hierarchies, fast decision-making, and plenty of room for your own ideas
Flexible working hours and the option to work remotely (with an expectation of being in the office two days per week)
Regular company events
Fruit, drinks, and meal allowances
Subsidy for the Germany Ticket
Option for a Wellpass membership
Would you like to join us on the Whow journey?
We look forward to receiving your application!
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Required skills
Data Scientist
Tech stack
Python
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