Senior Product Analyst - Rewarding Systems (all genders) at Justplay GmbH

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Product Analytics, SQL, Python, Statistical Analysis, Data Visualization, Machine Learning, User Segmentation, Collaboration Tools, Data Warehousing, Mobile Analytics, Attention to Detail, Communication Skills, Data Literacy, A/B Testing, Behavior Analysis, Problem Solving

Industry

Entertainment Providers

Description

JustPlay is looking for a Product Analyst to join our Rewarding Systems team, responsible for ensuring that our rewards create sustainable long-term player excitement. You’ll work closely with Product, Engineering and Data teams to design, evaluate, and evolve a reward engine that is fair, engaging, and continuously motivating. This role requires a unique blend of analytical rigor, mathematical modeling, and curiosity about player behavior, value systems, and long-term sustainability. You’ll bring clarity and data-driven decision-making to one of the most important components of our product experience: how players earn, feel rewarded, and stay excited over months and years. Tasks Plan, define, conduct and evaluate A/B tests and experimentation on reward mechanics (earning rates, conversion points, reward schedules). Deep dive into user behaviour data to unearth usage patterns to understand motivation and reward-related churn. Identify root causes of reward system issues (inflation, imbalance, low engagement, misaligned incentives) Develop and evolve tracking concepts to ensure we collect accurate, reliable and actionable data Define metrics and build reporting and visualisations that provide clear and accurate data to business stakeholders Promote data literacy, advocate for data usage and data driven decision making Think creatively to find optimal solutions to our complex, often unstructured problems Use Machine Learning algorithms for tasks such as user segmentation, regression and classification Work closely with our Data Engineering and Analytics teams to improve our data products, all leading to quicker and accurate outcomes Collaborate with our Engineering teams to define the data that we need to collect to get the best outcomes This job is not for you if You don’t mind doing analyses whose results will be ignored You take pleasure doing repetitive tasks that do not require you to think or be creative You don’t care about business goals and measuring impact It doesn’t bother you to build tools that no one will use You’re comfortable using methods without understanding the science behind them You don’t like solving complex problems You are not looking for an environment that challenges you You don’t ask challenging questions Requirements At least 5 years of experience in an analytics role, preferably in product analytics focusing on consumer-facing products (Mobile gaming experience is a plus) Proficient in SQL and Python, including packages such as Pandas and Numpy Experience with collaboration tools such as Google Colab Experience defining and implementing metrics and building clear and beautiful visualizations using BI platforms such as Looker, Tableau, or Metabase Hands-on experience with data warehouses such as BigQuery or Snowflake Familiar with mobile analytics platforms (e.g., Adjust, Amplitude, Firebase) for measuring user acquisition and engagement Comfortable conducting statistical analysis and modeling using statistical best practices Strong attention to detail and ability to interpret complex data Excellent communication skills and proven experience collaborating with business stakeholders Benefits Work-Life Balance and Flexibility: Flexible working hours and options for digital nomads, occasional office visitors, or regular office-goers Employee Stock Options: Opportunity to join our Virtual Share Option Program (VSOP) and share in the success of an already profitable company Mental Health Support: Free personal coaching through our partner nilo.health to support our team members to live fulfilled lives at home and at work Training & Development: A competitive personal development budget of up to 2000€/year for training, conferences, workshops, etc., and free language courses with Chatterbug Germany-Based Benefits: 25 vacation days, free Gympass gold subscription, free monthly Deutschland-Ticket, and a monthly €50 tax-free internet contribution State-of-the-Art Equipment: Doesn’t matter if you are a MacBook or Windows user; we will provide you with the technical gear you need to succeed A Relocation Package: Includes visa support for those who need it Berlin Office Perks: Ergonomic setup, free daily lunch, and a dog-friendly environment. Engaging and Diverse Work Environment: Join a diverse team, with over 30 nationalities working from 20 different locations * Benefits may vary depending on location and contract type. Do not hesitate to ask us about more details on our benefits offer. About us Come join the company that’s transforming the world of mobile gaming by making playtime truly rewarding. At JustPlay, we’re on a mission to build a fairer, more sustainable Play-to-Earn ecosystem—one where players are rewarded for their time, and engagement drives continuous growth. Since launching in 2020, we’ve grown into one of the world’s leading loyalty gaming platforms, with over 25 million downloads and 500,000+ daily active users. Bootstrapped and headquartered in Berlin, our global team spans 20+ countries and is united by a belief in fun, fairness, and meaningful impact. We’re leading a massive shift in the gaming industry—but it’s still early enough for you to make your mark. At JustPlay, you’ll have the freedom to shape bold ideas, drive real impact, and be part of a company that’s not just growing fast—but growing right.

Responsibilities

The Senior Product Analyst will design, evaluate, and evolve a reward engine to enhance player engagement and excitement. This role involves conducting A/B tests, analyzing user behavior data, and collaborating with various teams to ensure effective data-driven decision-making.