
Advanced Analytics Specialist
8 hours ago
We seek a highly skilled Data Analyst with a strong background in data analysis, to drive business growth through the development of analytics-driven fraud detection solutions.
As a key member of our team, you will be responsible for designing, building and optimizing complex analytical workflows using SQL, Python, PySpark, and Hadoop. You will work closely with fraud analytics and operations teams to strengthen frameworks for card transactions and account opening domains.
Key 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.
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