Fraud Data Analyst ( Must have SQL or Python Exp.)`

Job Description: Business/ Data Analyst(Fraud Analyst/ SQL/Python) Location: Hyderabad Experience: 5 Year+ Key Responsibilities • Perform advanced data analysis using MySQL/PL SQL to extract, transform, and analyze large datasets. • Develop complex SQL queries, stored procedures, and analytical scripts for investigation and reporting purposes. • Conduct forensic analysis of data to identify irregularities, trends, risks, and potential fraudulent activities. • Analyze transactional and behavioral data to support fraud/scam detection and prevention initiatives. • Apply critical thinking and logical reasoning to investigate complex data patterns and derive actionable insights. • Use Python for basic to intermediate-level data analysis, automation, and data processing tasks. • Prepare analytical reports, dashboards, and presentations highlighting key findings and recommendations. • Collaborate with business teams, risk teams, and stakeholders to understand requirements and deliver data-driven solutions. • Communicate investigation outcomes clearly through presentations and documentation. Required Skills & Qualifications Mandatory Skills • MySQL / PL SQL – Expert/Proficient (Non-negotiable) • Strong experience writing complex SQL queries. • Good understanding of database structures, joins, optimization, and data extraction techniques. • Python – Basic/Intermediate (Non-negotiable) • Ability to perform data manipulation, analysis, and automation using Python libraries. • Critical Thinking & Logical Reasoning – Proficient (Non-negotiable) • Strong analytical mindset with the ability to identify patterns, anomalies, and inconsistencies. • Communication & Presentation Skills – Proficient (Non-negotiable) • Ability to communicate complex analytical findings effectively to technical and business stakeholders. Preferred Skills • Experience in data forensics, investigation, or risk analytics. • Exposure to fraud detection, scam reviews, or suspicious activity analysis. • Experience working with large datasets and data-driven decision-making. • Knowledge of analytical tools and reporting frameworks is an added advantage. Ideal Candidate Profile • Strong SQL professional with investigative data analysis experience. • Detail-oriented with the ability to connect data points and identify hidden patterns. • Comfortable working on complex business problems requiring analytical judgment. • Able to present insights clearly and influence decision-making through data. Experience • Relevant experience in SQL-based analytics, data investigation, fraud analytics, risk analysis, or similar domains preferred. • Skill Focus: SQL, PL/SQL, Python, Data Investigation, Fraud Analytics, Analytical Reasoning