Description:

NatWest Group is hiring a Data & Analytics Analyst at the Associate level for its core decision-support wing in Chennai. In this hybrid business-technical role, you will act as a strategic analytical translator—interrogating millions of banking data points to identify leakages, map out operational opportunities, and design data-driven corporate solutions. Moving beyond simple report generation, you will capture and validate dense financial business specifications, construct optimized relational schemas, perform end-to-end extraction and validation testing, and automate complex pipelines. You will operate directly inside an Agile delivery environment, translating raw telemetry into clean dashboard assets while maintaining absolute data lineage and compliance.

Key Technologies:

Snowflake (Warehouses, Stages, Data Sharing), Python, Pandas, NumPy, Requests Library, SQL (Data Modeling & Optimization), REST APIs, Data Integration Techniques, Quality Assurance / Data Auditing, Agile Methodology

Requirements:

• 2 to 5 years of verified professional experience operating as a data analyst, business intelligence engineer, or data transformation specialist within an enterprise framework.
• Strong, hands-on production experience within the Snowflake ecosystem, including configuring virtual warehouses, designing physical/logical data models, working with internal/external stages, and structuring secure data-sharing protocols.
• Expert-level proficiency in Python engineered specifically for data processing and workflow automation, demonstrating heavy usage of core libraries like Pandas and NumPy.
• Direct familiarity using Python's Requests library or equivalent tooling to handle data integration, manage RESTful API endpoints, and parse unstructured JSON payloads.
• Strong expertise writing clean, high-performance, and complex SQL queries to handle dense data extraction, schema manipulation, and transformation (ETL/ELT) rules.
• Proven background utilizing structured business analysis tools and techniques to document functional requirements, evaluate project alternatives (options analysis), and preserve complete data traceability from source rows to final analytics outputs.
• Deep analytical capability to create and run rigorous automated validation scripts to isolate structural anomalies, resolve data inconsistencies, and maintain high enterprise-quality metrics.
• Practical execution experience working inside an active Agile sprint model, demonstrating the ability to manage competing project priorities and adapt to rapidly evolving product specs.
• Refined soft skills with a proven knack for tailored communication, enabling you to present complex data findings and recommendations convincingly to non-technical business stakeholders.