Senior Product Analyst | Rewarding (Remote)

Senior Product Analyst Reward (Remote)

Location: Berlin, Germany or Remote within ±3 hours of Berlin

Employment Type: Full-time, Freelance, or B2B

About the Company
We are a growing mobile gaming company (120 people) focused on creating engaging, rewarding, and data-driven gaming experiences for a global audience. Our teams work across multiple countries and collaborate closely to build mobile titles that combine strong game design, meaningful progression systems, and modern monetisation models. We value curiosity, clear communication, player-centric thinking, and the ability to translate data into actionable insights that improve gameplay and business outcomes.

Role Summary
We’re seeking a Product Analyst to join our Reward Systems team, transforming player behavior data into actionable insights. Dive into user behaviour to identify patterns, engagement drivers, and reward-related churn. Design and maintain metrics, dashboards, and visualizations that guide data-driven decisions. Collaborate closely with Product and Engineering teams to ensure accurate, impactful results. Lead A/B testing and experimentation to continuously optimize reward structures and player engagement.

Responsibilities

• Design, evaluate, and evolve a reward engine that is fair, engaging, and continuously motivating

• Collaborate with Product, Engineering, and Data teams to ensure accurate and actionable insights

• Plan, define, conduct, and evaluate A/B tests and experiments on reward mechanics (earning rates, conversion points, reward schedules)

• Identify root causes of reward system issues (inflation, imbalance, low engagement, misaligned incentives)

• Develop and maintain tracking concepts to collect accurate, reliable, and actionable data

• Define metrics and create reports and visualizations for business stakeholders

• Promote data literacy and advocate for data-driven decision-making

• Use machine learning algorithms for tasks such as user segmentation, regression, and classification

Must-Have Requirements

• 5+ years of experience in product analytics for consumer-facing products.

• Experience in SQL and Python (including Pandas and NumPy).

• Ability to implement metrics, build dashboards, and create visualisations using BI tools (Looker, Tableau, Metabase).

• Expertise in modern data warehouses such as BigQuery or Snowflake.

• Familiarity with mobile analytics platforms (e.g., Adjust, Amplitude, Firebase).

• Strong capability in statistical analysis and statistical modeling.

• Ability to apply Machine Learning techniques (segmentation, regression, classification).

• Expertise in designing, running, and analyzing A/B tests and experimentation.

Nice-to-Have Requirements

• A background in math, stats or econometrics.

• Experience in designing, conducting, and evaluating A/B tests

• Hands-on experience with mobile gaming products (consumer-facing focus)

• Familiarity with collaboration tools such as Google Colab

• Exposure to reward systems, engagement mechanics, or gamification analysis

• Experience creating a mathematical framework for a loosely defined problem.

• Experience with pricing

What We Offer
Flexible working hours and remote-friendly policies within the approved time zone range.
Professional development budget for training, courses, and conferences.
Mental health and well-being support programs.
Competitive leave policy and additional local benefits depending on location.
High-quality equipment (Mac or Windows) based on your preference.
Relocation support for candidates interested in moving to Berlin.
A diverse, international team environment with colleagues from multiple countries.

Hiring Process
Recruiter screening call
Interview with HR rep 30 min
Interview with hiring manager (Lead)
Take home case study discussion
Offer

Equal Opportunity Statement
We are an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, national origin, disability, or any other protected characteristic.