Data Analyst

Merkur

. Analyze product, player, and market 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 expertise in data analysis, predictive analytics, and visualization, with proficiency in tools such as Power BI and programming skills in Python or R. Strong analytical and conceptual thinking skills are essential for translating complex data into actionable insights.

Highest-signal resume keywords

Data AnalysisPredictive AnalyticsPower BIPython ProgrammingBusiness Informatics Degree

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive AnalyticsMachine LearningData VisualizationStatistical AnalysisKPI MonitoringDashboard DevelopmentExcel ProficiencyConceptual ThinkingData Structures

Soft Skills

Analytical ThinkingCollaborationCommunication

Tools & Technologies

Power BISAP Analytics CloudTableauSnowflakeBigQueryRedshift

Industry Keywords

Gaming IndustryDigital PlatformEntertainmentAI-related EnvironmentsOnline Gaming

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSnowflakeTableau

About the role

Key responsibilities & impact

Analyze product, player, and market data
Define and monitor relevant KPIs
Identify trends, anomalies, and optimization opportunities
Translate complex analytical findings into clear, actionable recommendations
Support product, roadmap, and portfolio decisions
Develop and maintain dashboards and reports using common BI tools
Prepare analysis results for management in a target-group-appropriate and decision-oriented manner
Collaborate with product owners, adjacent departments, and Data and BI teams
Ensure consistent data structures and a reliable analytical foundation
Further develop analytical methods and standards
Support the expansion of predictive analytics, scenario analysis, and other data-driven use cases

Requirements

What you’ll need

Successfully completed degree in Business Informatics, Business Administration, Statistics, or an equivalent professional qualification
More than 4 to 6 years of professional experience in data analysis, AI-related environments, or a performance-oriented field
Ideally, experience in the gaming, entertainment, or digital platform industry
Sound knowledge of data analysis and visualization
Proficiency in Excel, SAP Analytics Cloud, Power BI, or Tableau
Programming skills in Python and/or R
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 skills
Knowledge of the gaming industry, particularly online gaming, is an advantage

Benefits

Comp & perks

30 days of vacation
Flexible working hours
Remote work
Dedicated training center
Diverse development opportunities across the entire corporate group
Employee events
Department events
Corporate health management
Company sports programs
Occupational disability insurance
Company pension scheme
E-bike leasing
Corporate benefits
Employee discounts
Local offers depending on location