RBS

Senior Data & Analytics Analyst, AVP

RBS Gurugram, Haryana, India

Banking · 1 employee

Yesterday
Senior (5-10 yrs) Full-time India
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About the role

The analyst will lead and coach teams to deliver strategic data solutions while consulting with stakeholders to identify business opportunities. They are responsible for designing efficient, automated processes and translating complex data into compelling visual insights.

What they look for

Advanced analytics Data visualization SQL Snowflake AWS Tableau PowerBI Gitlab Github Data architecture Stakeholder management Critical thinking Problem-solving Data management Data engineering Data science

Requirements

Candidates must have 8+ years of experience with strong SQL coding skills and proficiency in data visualization tools like Tableau or PowerBI. A deep understanding of data architecture, management principles, and the ability to engage with diverse stakeholders is required.

Full 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 to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work
  • We're offering this role at associate vice president level

What you'll do

As a Data & Analytics Analyst, you’ll be driving the use of advanced analytics in your team 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, often complex and ambiguous business 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:

  • Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes
  • Planning and delivering data and analytics resource, 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
  • Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics
  • Developing strong stakeholder relationships to bring 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 8+ 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