NatWest Is Hiring Data Analyst in Bangalore – Apply Now
About the Opportunity
NatWest Business Risk Data Analyst is an opportunity for professionals interested in data analytics, business risk, automation and technology-driven decision-making. NatWest Group is looking for an Associate-level candidate to join its Data, Automation and AI team supporting risk insight across Commercial & Institutional Banking.
The position is based in Bangalore, India, and offers a full-time opportunity to contribute to data-led initiatives that support business risk management. The selected candidate will work across the data lifecycle, including data extraction, profiling, processing, analysis, visualisation and automation. The role also involves documenting data flows, translating business requirements into functional solutions and helping develop self-service analytics capabilities.
Candidates with experience in data analysis and visualisation within a risk or technology environment may find this position relevant. Knowledge of cloud-based data environments, particularly AWS, is also valuable. Familiarity with Amazon QuickSight or Microsoft Power Platform solutions is an advantage.
The position is suitable for candidates who can combine analytical thinking with effective communication and collaboration. Applicants should review the official NatWest Group careers page for the complete requirements and submit their applications before the stated closing date of 19 October 2026.
| Last Date to Apply | 19 October 2026 |
What the Candidate Will Do
The Business Risk Data Analyst will contribute to data-driven solutions that support risk management and informed business decisions. The responsibilities described in the official job posting include the following:
Collect, profile and map data for reporting, automation initiatives and AI-enabled solutions.
Analyse and document risk processes and data flows.
Help establish consistent data definitions, standards and data models.
Translate business risk requirements into functional and data solutions.
Support the development of automated processes and self-service analytics capabilities.
Collaborate with stakeholders across Business Risk, Corporate Services and the Growth Office.
Help ensure that data is accurate, reliable and suitable for its intended business purpose.
Deliver analytical insights that contribute to data-led initiatives and improved risk processes.
These responsibilities require a combination of data analysis, process understanding, technical knowledge and stakeholder collaboration.
Skills Candidates Should Have
Candidates should demonstrate analytical ability and experience working with data in a risk or technology environment. The employer specifically highlights data analysis, visualisation, cloud-based data environments and communication skills.
Technical Skills
1. Data Analysis and Profiling
Understanding how to collect, examine, profile and map datasets is relevant to the role. Candidates should be able to identify data relationships and support the preparation of reliable information for reporting and decision-making.
2. Data Visualisation
Experience presenting analytical findings in a clear and useful format is important. Candidates should be comfortable translating data into insights that support business users.
3. Cloud-Based Data Environments
The job description specifically mentions experience working with cloud-based data environments such as Amazon Web Services (AWS). Understanding data structures and relationships across multiple data domains is also relevant.
4. Automation and AI-Enabled Solutions
The role supports automation and AI-related initiatives. Knowledge of data workflows and how analytical processes can be improved through automation can be useful.
5. Amazon QuickSight and Microsoft Power Platform
Familiarity with Amazon QuickSight or Microsoft Power Platform solutions is an advantage, according to the employer. These are beneficial skills rather than stated mandatory requirements.
6. Risk Data and Process Documentation
Candidates should be able to analyse risk-related processes, document data flows and support consistent data definitions and standards.
Professional Skills
In addition to technical capabilities, the role requires strong professional skills.
Analytical thinking: Examine complex datasets and identify meaningful insights.
Communication: Explain technical findings and data requirements clearly.
Stakeholder management: Work collaboratively with technical and non-technical teams.
Problem-solving: Translate business requirements into practical analytical solutions.
Attention to detail: Help maintain accurate, reliable and consistent data.
Adaptability: Contribute to evolving data, automation and AI initiatives.
How These Skills Apply to the Role
Data analysis helps the team understand information used in business risk reporting and decision-making. Data profiling and mapping support the identification of data relationships, while documentation helps establish consistent processes and standards.
Visualisation skills help present findings in an accessible format for stakeholders. Knowledge of AWS and analytics tools can support work within cloud-based data environments, while automation knowledge can contribute to more efficient workflows.
Communication and collaboration are equally important because the role involves translating business requirements into functional and data solutions. Candidates who can connect technical analysis with practical business needs should highlight these strengths in their applications.
What to Highlight in Your Resume
Applicants can tailor their resumes to reflect the verified requirements of this position.
Relevant experience in data analysis, reporting or data visualisation.
Projects involving data profiling, mapping, processing or quality checks.
Experience with AWS or other cloud-based data environments, where applicable.
Practical knowledge of Amazon QuickSight or Microsoft Power Platform, if applicable.
Work involving risk analysis, business processes or technology environments.
Examples of documenting data flows, data models or business requirements.
Experience supporting automation or AI-enabled data initiatives.
Clear examples of communicating analytical findings to stakeholders.
Include measurable achievements where they are accurate and can be supported. Candidates should not claim experience with particular tools or risk processes unless they have genuinely used them.
Why This Role May Be Relevant to Candidates
This position may appeal to professionals who want to work at the intersection of data analytics, business risk, automation and technology. It provides an opportunity to contribute to initiatives supporting Commercial & Institutional Banking within NatWest Group.
The employer describes the position as an Associate-level role and highlights collaboration with multiple business functions. Candidates interested in applying analytical expertise to business problems may find this opportunity relevant.
The role is listed as permanent and full-time, with Bangalore, India, as its location. The official description does not specify a salary range, minimum years of experience or a particular educational qualification, so candidates should verify any additional eligibility requirements on the employer’s careers page.
Application Process
Candidates interested in the NatWest Business Risk Data Analyst position can apply through the official NatWest Group careers website.
Open the official job application page using the link below.
Review the complete job description and eligibility requirements.
Prepare an updated resume highlighting relevant data analytics, visualisation, cloud and business risk skills.
Complete the application form and provide the requested information.
Submit the application before the closing date of 19 October 2026.
Frequently Asked Questions
Q1. What is the main focus of this Business Risk Data Analyst position?
The role focuses on data analysis, visualisation, automation and data-driven solutions supporting business risk management.
Q2. What type of work will the selected candidate handle?
The candidate will collect and map data, document risk processes, develop analytical insights and support automated and self-service analytics solutions.
Q3. What skills are relevant to this position?
Data analysis, visualisation, AWS, understanding of data structures, analytical thinking and stakeholder communication are relevant; QuickSight or Power Platform knowledge is advantageous.
Q4. What should candidates highlight in their resume?
Candidates should highlight relevant analytics projects, cloud data experience, reporting and visualisation skills, process documentation and automation experience where applicable.
Q5. How can candidates apply?
Candidates can visit the official NatWest Group careers website, search for reference R-00286393 and complete the application before 19 October 2026.