Data Analyst

Merkur

. Analyze product, player and market performance data .

Posted 11/12/2026full-timeRemote • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in data analysis and visualization, utilizing BI tools and programming skills to support product decisions and optimize performance. Proficient in translating complex data findings into actionable insights while ensuring a reliable analytical foundation.

Highest-signal resume keywords

Data AnalysisBI ToolsPython ProgrammingPredictive AnalyticsGaming Industry Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData VisualizationPredictive AnalyticsMachine LearningStatistical Analysis

Soft Skills

Analytical ThinkingConceptual ThinkingCommunication

Tools & Technologies

ExcelSAP Analytics CloudPower BITableauSnowflakeBigQueryRedshift

Industry Keywords

Gaming IndustryDigital PlatformPerformance-Driven EnvironmentBusiness InformaticsBusiness Administration

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSnowflakeTableau

About the role

Key responsibilities & impact

Analyze product, player and market performance data
Define and monitor relevant KPIs
Identify trends, anomalies and opportunities for optimization
Translate complex analytical findings into clear, actionable recommendations
Support product, roadmap and portfolio decisions
Develop and maintain dashboards and reports using established BI tools
Prepare analytical results in a clear, management-ready and decision-focused format
Work closely with Product Managers, related departments, and Data and BI teams
Ensure consistent data structures and a reliable analytical foundation
Contribute to the continuous development of analytical methods and standards
Support the expansion of predictive analytics, scenario analyses and other data-driven use cases

Requirements

What you’ll need

A successfully completed degree in Business Informatics, Business Administration, Statistics or a comparable qualification
More than 4 to 6 years of professional experience in data analytics, AI or a performance-driven environment, ideally within the gaming, entertainment or digital platform industry
Strong expertise in data analysis and visualization
Experience with BI tools such as Excel, SAP Analytics Cloud, Power BI or Tableau
Programming skills in Python and/or R are required
Experience with predictive analytics, machine learning and modern data platforms such as Snowflake, BigQuery or Redshift
Very good German and English skills (at least B2 level)
Strong analytical and conceptual thinking
Knowledge of the gaming industry, particularly online gaming, is an advantage

Benefits

Comp & perks

30 days of vacation
Flexible work schedules
Remote work model
In-house training center
Diverse development opportunities across the entire corporate group
Employee gatherings
Department events
Workplace health management
Company sports programs
Disability insurance
Company pension plan
E-bike leasing
Corporate benefits
Employee discounts
Local offers depending on location