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etl r sql python elasticsearch📋 Description
- Support fraud analytics, predictive analytics, and forensic analysis.
- Analyze structured and unstructured data for anomalies.
- Develop analytical models and fraud detection methods.
- Perform log analysis, data correlation, and investigate events.
- Prepare analytical reports, briefings, and operational docs.
- Assist with incident response and mitigation of fraudulent activity.
🎯 Requirements
- Bachelor’s in Cybersecurity, CS, IT, Data Science, Engineering, Math, Statistics, or related field.
- 5+ years in cybersecurity ops, fraud analytics, data analytics, or enterprise monitoring.
- Experience with cybersecurity monitoring, fraud detection, or incident response.
- Experience with log analysis, data analysis, or investigative activities.
- Ability to analyze data and identify anomalous patterns.
- Familiarity with cybersecurity monitoring tools, analytics platforms, or SIEM.
🎁 Benefits
- Competitive pay
- Comprehensive health coverage
- Flexible PTO
- Federal holidays off
- Tuition reimbursement
- Wellness stipends
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