Data & Analytics Analyst
NatWest Digital X
Bengaluru, India
Category
IT
Position Type
Full-Time
Company Overview
In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
Position Summary
Join our digital revolution in NatWest Digital X. This is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team. You'll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose. You'll bring advanced analytics to life through visualisation in a meaningful way for key stakeholders, giving you excellent recognition for your work.
Key Responsibilities
- Using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products.
- Working in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed project and scrum outcomes.
- Delivering data and analytics expertise and solutions, which brings commercial and customer value to business challenges.
- Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with, supporting them to select the best approach for the business needs.
- Using new tools, technologies and methodologies to carry out advanced analytics.
- Sharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs.
Experience Required
Experience in data management principles, translating data and insights for key stakeholders, and knowledge of data engineering, data science, and decisioning disciplines.
Education Requirements
- Relevant degree in Data Science, Analytics, Computer Science, or a related field.
Soft Skills
- Strong communication skills with the ability to engage with a wide range of stakeholders.
- Ability to identify wider business impact, risk, and opportunities, making connections across key outputs and processes.
Benefits
- Flexible working options, including hybrid working and flexible hours.
Reference Number
R-00260926