Senior Fraud Data Analyst - Commercial Fraud Operations Analytics Lead - Remote
Primary location: Eden Prairie, Minnesota
USD 91K-163K Senior-level Full Time
Tasks
- Analyze transaction and fraud datasets for trends and root causes
- Automate analytics workflows using SQL and Python
- Build analytics datasets and pipelines for reporting and dashboards
- Build fraud intelligence data products and repositories
- Define requirements for scalable fraud analytics capabilities
- Design and maintain dashboards and reporting solutions
- Develop and optimize fraud detection strategies
- Ensure reproducible audit ready analytics outputs
- Establish KPI definitions and metric libraries
- Evaluate model and rule performance
- Implement data quality controls and governance documentation
- Lead fraud analytics workstream delivery
- Present executive ready analytics findings
- Provide recommendations to reduce fraud losses and improve controls
- Support generative AI enabled coding for analytics
- Translate business objectives into analytics deliverables
Perks/Benefits
Skills/Tech-stack
Amazon Redshift | Anomaly Detection | Artificial Intelligence | Azure Data | Cloud Computing | Cloud platform | Data Governance | Data Pipelines | Data Quality | Data Warehousing | Databricks | False Positive | False Positive Rate | Fraud Detection | Google Cloud | Google Cloud Platform | KPI Development | Language Processing | MS Fabric | Machine Learning | Natural Language | Natural Language Processing | Power BI | Precisión | Predictive Modeling | Python | R | Recall | SAS | SQL | Segment analysis | Snowflake | Tableau
Education
N/A
Regions
Countries
States
Cities
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