**Education Qualification:**
**• B. Tech /MCA /Engineering or**
**• Bachelor's degree in Data Analytics, Computer Science,**
**Statistics, Finance, Information Systems, or related field or**
**• Masters degree in Data Science, Analytics, or Risk Management**
**preferred.**
**Role & responsibilities:**
- **6+ years of experience in fraud risk management with a strong**
**focus on identity fraud analytics.**
- **1 years or more experience in a Data Analyst or Business**
**Analyst role**
- **Hands-on experience working with large datasets, real-time fraud**
**systems, and analytics platforms.**
- **Advanced SQL and data querying skills**
- **Experience with Python, R, or similar analytics languages**
- **Familiarity with machine learning models (e.g., logistic**
**regression, random forest, gradient boosting)**
- **Collect, clean, and analyse structured and unstructured data from**
**multiple sources**
- **Write and optimize SQL queries for data extraction and analysis**
- **Build and maintain dashboards and reports for business and**
**leadership teams**
- **Identify trends, patterns, and anomalies to support data-driven**
**decisions**
- **Collaborate with business, product, and engineering teams to**
**understand data needs**
- **Ensure data accuracy, integrity, and documentation**
- **Support ad-hoc analysis and recurring reporting requirements**
- **Google Data Analytics Professional Certificate**
- **Microsoft Certified: Data Analyst Associate (Power BI)**
- **Tableau Desktop Specialist / Certified Data Analyst**
- **IBM Data Analyst Professional Certificate**
Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.