Preply
Education
SeniorDataAnalystFraudPrevention
“Senior Data Analyst - Fraud Prevention at Preply. Skills: Data analysis, Machine learning, Business intelligence, Data engineering. Develop and maintain data models. Build and optimize ETL/ELT pipelines”
What You'll Achieve.
Improve data-driven decision making; Enhance fraud detection accuracy; Optimize user experience; Drive business growth
Industry & Context.
Root cause analysis; Analytical thinking
What They're Looking For.
Must Have
5+ years of experience in data analysis, Proficiency in SQL, Experience with Python or R for data analysis, Experience with data visualization tools
Nice to Have
Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with large-scale data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with A/B testing and experimentation, Experience with data engineering tools (e.g., Airflow, dbt)
What You'll Do.
Develop and maintain data models
Build and optimize ETL/ELT pipelines
Design and implement data solutions
Perform complex data analysis
Develop dashboards and reports
Collaborate with stakeholders
Implement machine learning models
Ensure data quality and integrity
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineering teams; Business stakeholders
Communication Scope
Stakeholder communication; Data storytelling
Applying for this Senior Data Analyst - Fraud Prevention role?
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