Data & Analytics Analyst

Royal Bank of Scotland; United Kingdom; Remote; GBP 42,000 - 64,000; Full time

Job summary

Royal Bank of Scotland is seeking a Data & Analytics Analyst to turn complex data into actionable insights for stakeholders across the business. You will apply advanced analytics and data storytelling, using SQL, Python and visualization tools such as Power BI, Tableau or QuickSight to drive informed decisions and measurable outcomes.

Collaborating in an Agile, remote-first environment, you’ll translate business questions into data-led solutions that improve customer outcomes and operational

Qualifications

• Experience with SQL, ideally using Snowflake and AWS
• Experience creating impactful data visualisations using Power BI/Tableau/QuickSight
• Ability to communicate findings to stakeholders to inform decisions
• Understanding of data architecture, data engineering and data science
• Proficiency in Python and orchestration tools like Apache Airflow would be advantageous

Responsibilities

• Deliver data and analytics solutions that increase understanding of the business, customers, processes and products
• Work with stakeholders to define detailed business questions and opportunities for analytics
• Operate in an Agile, multidisciplinary data team to achieve project outcomes
• Translate analytics into clear, actionable messages for diverse audiences
• Share updates that link advanced analytics to business needs

Skills

SQL

Snowflake

AWS

Data Visualisation

Power BI

Tableau

QuickSight

Python

Airflow

GitHub

GitLab

Data Architecture

Data Engineering

Data Science

Stakeholder comms

Agile

Tools

GitHub

GitLab

Apache Airflow

Snowflake

AWS

Power BI

Tableau

QuickSight

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

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 a data-driven individual with a passion for analytics and with an understanding of data architecture, analytics tooling and relevant coding languages, along with the ability to communicate findings in a way that helps stakeholders make informed decisions.

You'll combine technical expertise with commercial awareness, using data to identify opportunities, risks and business impacts across a complex organisation. Working collaboratively with stakeholders and wider data teams, you'll help deliver meaningful insight that supports better customer and business outcomes.

You'll also need:

• Experience of SQL, ideally gained using Snowflake and AWS, with knowledge of data management principles and data architecture
• Experience creating impactful data visualisations and insights using tools such as QuickSight, Tableau or Power BI
• The ability to apply critical thinking and problem-solving skills to develop data-led recommendations and solutions
• Experience translating complex data and analytics into clear, compelling messages for a range of stakeholders
• An understanding of data engineering, data science and decisioning disciplines, with experience using tools such as GitLab or GitHub
• Knowledge of Python and orchestration tools such as Apache Airflow would be advantageous

Hours

35

Job Posting Closing Date:

27/10/2026

Ways of Working:Remote First