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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and visualization, utilizing BI tools and programming languages to derive actionable insights. Proficient in predictive analytics and machine learning, with strong analytical and conceptual thinking skills to support decision-making in the gaming and digital platform industries.
Highest-signal resume keywords
Data AnalysisPredictive AnalyticsBusiness Intelligence ToolsPython ProgrammingMachine Learning
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisPredictive AnalyticsMachine LearningStatistical AnalysisData Visualization
Soft Skills
Analytical ThinkingConceptual ThinkingCollaboration
Tools & Technologies
ExcelSAP Analytics CloudPower BITableauSnowflakeBigQueryRedshift
Industry Keywords
Gaming IndustryDigital PlatformOnline GamingAI-related Environments
Tech Stack
Tools & technologiesAmazon 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 standard BI tools
- Prepare analysis results for management in a target-audience-appropriate and decision-oriented manner
- Collaborate with product owners, adjacent departments, and Data and BI teams
- Ensure consistent data structures and a reliable basis for analysis
- Further develop analytical methods and standards
- Support the expansion of predictive analytics, scenario analyses, and other data-driven use cases
Requirements
What you’ll need- Successfully completed degree in Business Information Systems, 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
- Strong knowledge of 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
- Experience with predictive analytics, machine learning, and modern data platforms such as Snowflake, BigQuery, or Redshift
- Excellent German and English language 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
- In-house training center
- Diverse development opportunities across the entire corporate group
- Employee events
- Department events
- Company health management program
- Corporate sports programs
- Disability insurance
- Company pension plan
- E-bike leasing
- Corporate benefits
- Employee discounts
- Local offers depending on location