Natwest Technology Off Campus Drive 2025 Hiring As Data & Analytics Associate | 4-6 LPA
Natwest-Technology Off Campus Drive 2024 :
NatWest Group India provides world-class services and solutions to our 19 million banking customers globally, by leveraging India’s technology talent, best-in-class back office operations, and fast-growing FinTech eco-system. As the second largest employee base outside the UK, NatWest Group India builds differentiated value through excellence in innovation and operational transformation.
Natwest-Technology Off Campus Drive 2024 Details :
Job Role | Data & Analytics Associate |
Qualification | B.E/B.Tech |
Job Location | Chennai |
CTC : | 4-6 LPA* |
Telegram |
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Job Description
- Join us as a Data & Analytics Analyst
- Take on a new challenge in Data & Analytics and help us shape the future of our business
- Help manage the analysis of complex data to identify business issues and opportunities, supporting the delivery of high-quality business solutions
- We’re committed to mapping a career path for you, focusing on building new skills and engaging with the latest ideas and technologies in data analytics
- This role is offered at the associate level
What You'll Do
- Plan and provide high-quality analytical input to support the development and implementation of innovative processes and problem resolution
- Capture, validate, and document business and data requirements, ensuring alignment with key strategic principles
- Interrogate, interpret, and visualise large volumes of data to identify, support, and challenge business opportunities and solutions
Additional Responsibilities
- Perform data extraction, storage, manipulation, processing, and analysis
- Conduct and support options analysis, identifying the most appropriate solution
- Help maintain full traceability and linkage of business requirements for analytics outputs
- Seek opportunities to challenge and improve current business processes, ensuring optimal outcomes for customers
- Create and execute quality assurance at various stages of the project to validate analysis, ensure data quality, and resolve data inconsistencies as needed