: 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.

Positive 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

📌 Fraud Data Analyst ( Must have SQL or Python Exp.)` (Hyderabad)
🏢 Innova ESI
📍 Hyderabad