Game Data Analyst

Jobtailor; Berlin; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Jobtailor in Berlin is seeking a data analytics professional to analyze player behavior, build segmentation, and drive data-informed decisions for game teams.

You will design and run SQL analyses, create robust data models with dbt, and contribute to self-serve reporting and dashboards, enabling cross-functional stakeholders to act on insights. English is required for applications.

Qualifikationen

• 3+ years of experience in data analytics.
• Proficiency in SQL and data visualization tools.
• Experience with complex datasets and analytical data models.
• Ability to translate data into clear insights for technical and non-technical audiences.
• Application in English.
• Experience with Looker and dbt (desirable).
• Experience with Python or R for data analysis (desirable).
• Familiarity with data orchestration tools such as Airflow (desirable).
• Background in games, free-to-play, or product analytics (desirable).

Aufgaben

• Partner with product and game teams on player behavior, engagement, and progression questions.
• Perform advanced SQL analyses to uncover patterns and drivers behind player actions.
• Design and analyze player segmentation and behavioral cohorts.
• Design, implement, and evaluate A/B tests.
• Build and maintain reliable analytics-ready data models using dbt or similar tools.
• Ensure data quality, clarity, and documentation of key datasets and metrics.
• Contribute to self-serve reporting and visualization.
• Align priorities with cross-functional teams and influence roadmap decisions.
• Collaborate with analysts and the data infrastructure team to improve analytical workflows and standards.
• Support multiple game teams over time as an individual contributor focused on data modeling, advanced analysis, and scalable analytical foundations.

Kenntnisse

Data Analytics

Collaboration

Communication

英语能力

Tools

Looker

dbt

Python

R

Airflow

Jobbeschreibung

• Partner with product and game teams on player behavior, engagement, and progression questions


• Perform advanced SQL analyses to uncover patterns and drivers behind player actions


• Design and analyze player segmentation and behavioral cohorts


• Design, implement, and evaluate A/B tests


• Build and maintain reliable analytics-ready data models using dbt or similar tools


• Ensure data quality, clarity, and documentation of key datasets and metrics


• Contribute to self-serve reporting and visualization


• Align priorities with cross-functional teams and influence roadmap decisions


• Collaborate with analysts and the data infrastructure team to improve analytical workflows and standards


• Support multiple game teams over time as an individual contributor focused on data modeling, advanced analysis, and scalable analytical foundations

Requirements

• 3+ years of experience in Data Analytics


• Proficiency in SQL and data visualization tools


• Experience working with complex datasets and analytical data models


• Ability to translate data into clear insights for technical and non-technical audiences


• Application in English


• Experience with Looker and dbt (desirable)


• Experience with Python or R for data analysis (desirable)


• Familiarity with data orchestration tools such as Airflow (desirable)


• Background in games, free-to-play, or product analytics (desirable)

Core Competencies

Demonstrates expertise in Data Analytics with a strong focus on SQL, data modeling, and visualization. Capable of translating complex data insights for diverse audiences while ensuring data quality and collaboration across teams.

Highest-signal resume keywords

• Data Analytics Experience


• Proficiency In SQL


• Data Visualization Tools


• Experience With Looker


• Data Modeling

ATS Optimization Keywords

Hard Skills

• SQL


• Data Analysis


• A/B Testing


• Data Modeling


• Advanced SQL


• Behavioral Analysis


• Player Segmentation


• Data Quality Assurance


• Data Documentation


• Data Insights Translation

Soft Skills

• Collaboration


• Influencing


• Communication

Industry Keywords

• Games


• Free-To-Play


• Product Analytics


• Player Behavior


• Engagement Analysis

Tools & Technologies

• Looker


• Dbt


• Python


• R


• Airflow