Data & Analytics Analyst

Royal Bank of Scotland

Gurugram District

On-site

INR 600,000 - 1,000,000

Full time

5 days ago
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Job summary

Royal Bank of Scotland in India is seeking a Data & Analytics Analyst at associate level to translate data into actionable insights for key stakeholders across customers, processes, channels and products.

You will work in an Agile data team, develop dashboards, and apply advanced analytics with SQL, Python and visualization tools to drive business value while communicating complex findings clearly to non-technical audiences.

Qualifications

  • 4+ years of experience in data and analytics.
  • Knowledge of data architecture and data resources.
  • Ability to translate data into clear visual insights for stakeholders.
  • Strong financial services knowledge and business impact awareness.

Responsibilities

  • Develop data-driven business solutions in collaboration with stakeholders.
  • Work in an Agile team to deliver data and analytics projects.
  • Create and communicate data opportunities and insights clearly to non-technical teams.
  • Apply new tools and methodologies for advanced analytics.
  • Link analytics work to business needs and value.

Skills

4+ years experience
Strong communication
Critical thinking

Tools

SQL (Snowflake/AWS)
Tableau
PowerBI
Gitlab
Github
Apache Airflow
Python

Job description

Join us as a Data & Analytics Analyst

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

We’re offering this role at associate level

What you’ll do

As a Data & Analytics Analyst, you’ll be using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You’ll be working closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.

As well as this, you’ll be:

  • 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
The skills you’ll need

We’re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with proficiency in advanced analytics, you’ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling. You’ll also have good financial services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes.

  • Good critical thinking and problem-solving abilities to support and articulate a data-led approach to insight development with 4+ years of experience
  • Strong understanding of domain data resources and dependencies with wider data functions
  • Strong SQL coding skills, ideally using Snowflake/AWS
  • Excellent knowledge of visualisation tools (e.g. QuickSuite, Tableau, PowerBI)
  • Experience of using change and version control tools (e.g. Gitlab, Github)
  • Not essential but helpful - experience of using orchestration tools (e.g. Apache Airflow) and knowledge of Python coding
You’ll also demonstrate
  • Strong knowledge of data management principles
  • Experience of translating data and insights for key stakeholders
  • Knowledge of data engineering, data science and decisioning disciplines
  • Strong communication skills with the ability to engage with a wide range of stakeholders

Hours 45

Job Posting Closing Date: 29/09/2026

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