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Mid LevelFull-timePythonRustReactGitAI
Salary Range
$20,188 - $27,312 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Analyst to join our Fraud team at Incode. This role focuses on transforming data into clear, actionable insights to support the detection and prevention of identity fraud.
Key Responsibilities
- →Fraud Data Analysis & Monitoring: Query and analyze fraud-related datasets to support investigations, identify trends, and surface anomalies linked to fraudulent activity.
- →Dashboards & Reporting: Build, maintain, and improve dashboards and recurring reports that track fraud performance and support operational and customer-facing insights.
- →Data Quality & Process Support: Monitor data quality, flag inconsistencies, and support continuous improvement of fraud analytics workflows and processes.
- →Collaboration & Communication: Partner with Fraud Analysts, Customer Success, and technical teams to translate data into clear insights and actionable recommendations.
Requirements
- ✓1–2 years of experience in a data analyst, reporting, or analytics-focused role.
- ✓Educational background in Data Analytics, Business Analytics, Mathematics, Statistics, or related fields.
- ✓Strong SQL skills, including joins, aggregations, and basic query optimization.
- ✓Working knowledge of Python for data analysis, automation, or light data processing.
- ✓Experience building or maintaining dashboards using BI tools (Tableau, Power BI, or similar).
- ✓High attention to detail and a structured, organized approach to analytical work.
- ✓Strong communication skills, with the ability to explain data clearly to non-technical audiences.
- ✓A problem-solving mindset and curiosity to understand how data supports fraud prevention.
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