Preply
Education
SeniorDataAnalystFraudPrevention
“Senior Data Analyst - Fraud Prevention at Preply. Skills: Data Analysis, SQL, Machine Learning, Business Intelligence. Develop and maintain data models. Build and optimize ETL pipelines”
What You'll Achieve.
Improve fraud detection accuracy; Reduce fraudulent transactions; Enhance user experience; Provide actionable insights
Industry & Context.
Root cause analysis; Data-driven decision making
What They're Looking For.
Must Have
5+ years of experience in data analysis, Proficiency in SQL, Bachelor's degree in a quantitative field
Nice to Have
Master's degree or PhD, Experience with Python or R, Experience with BI tools, Experience with cloud platforms
What You'll Do.
Develop and maintain data models
Build and optimize ETL pipelines
Design and implement BI dashboards
Perform complex data analysis
Develop and deploy machine learning models
Conduct statistical analysis and A/B testing
Collaborate with stakeholders to understand data needs
Ensure data quality and integrity
Automate reporting processes
Present findings to technical and non-technical audiences
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineering teams; Business stakeholders
Communication Scope
Present findings; Technical documentation
Applying for this Senior Data Analyst - Fraud Prevention role?
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