Data Analyst II - Fintech(Fraud) (all genders)

Requirements

• Relevant work experience in Analytics, Business Intelligence or comparable functions
• Proficiency with SQL and creating data pipelines
• Experience with data visualization tools (e.g. Tableau and Looker) to build dashboards
• Familiarity with statistical data analysis techniques
• Strong analytical skills and ability to make recommendations
• Good communication and presentation skills

Nice to Have

• Experience in E-commerce / Payments / Fintech / Fraud Prevention / Risk Management
• Experience with big data tools (e.g. BigQuery, Spark, dbt)
• Competence with Python for data analysis and automation

What You'll Be Doing

• Work within a team processing and assessing the risk of financial transactions
• Partner with stakeholders to set the roadmap for analytics work
• Collaborate with Data Science team to optimize machine learning models
• Analyze high volumes of data to quantify business questions and enhance risk assessment
• Collaborate with multiple teams to drive innovative fraud prevention solutions
• Contribute new ideas and suggestions for team and internal clients

Perks and Benefits

• Hybrid working model with face-to-face connection in Berlin campus
• 27 days holiday with extra day on 2nd and 3rd year
• Support for career growth: Educational Budget, Language Courses, Udemy access
• Health initiatives: Health Checkups, Meditation, Gym Subsidy
• Financial support: Employee Share Purchase Plan, Pension Plan
• Food benefits: Meal Vouchers, Corporate Discounts