: 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 skilled 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