Role : Data Analyst
Location : Gurgaon / Noida / Bangalore / Pune / Hyderabad
Experience : 4–6 years
Notice Period : Immediate Joiners
About the Role :
We’re looking for a Data Analyst to join our team and drive the development of analytics-driven fraud detection solutions . In this role, you’ll design, build, and optimize analytical workflows using SQL, Python, PySpark, and Hadoop , while working closely with fraud analytics and operations teams to strengthen frameworks for card transactions and account opening domains .
Responsibilities
- Develop, maintain, and optimize complex SQL queries for large-scale datasets.
- Use Python (Pandas, NumPy, etc.) for advanced data processing, automation, and analytical solutions.
- Build and maintain Tableau dashboards to deliver actionable insights.
- Perform data wrangling, cleansing, and transformation from multiple data sources.
- Conduct deep-dive analysis to identify patterns, anomalies, and potential fraudulent activities in card transactions and account opening domains.
- Collaborate with fraud analytics & operations teams to strengthen fraud detection frameworks.
- Document processes, ensuring data integrity and compliance .
- Drive continuous improvements in data pipelines, tools, and reporting mechanisms.
Qualifications
4–6 years’ experience in data analytics roles (not data engineering).Proven expertise in SQL, Python, PySpark , and Hadoop / Oracle .Strong background in data analysis, fraud analytics, or financial analytics .Experience in Tableau dashboards & storytelling with data.Strong analytical, problem-solving, and communication skills.