Data Analyst in London

Data Analyst in London

London Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
Rathbone Brothers

At a Glance

  • Tasks: Analyse data and deliver insights to drive strategic initiatives.
  • Company: Join a leading tech firm with a focus on innovation and collaboration.
  • Benefits: Enjoy a competitive salary, private medical insurance, and flexible holidays.
  • Other info: Diverse and inclusive workplace with excellent career development opportunities.
  • Why this job: Make an impact by transforming data into actionable insights using cutting-edge tools.
  • Qualifications: Strong skills in SQL, Python, and data visualisation required.

The predicted salary is between 40000 - 50000 £ per year.

The Data Analyst works closely with Business and Product teams to develop strategic data platforms. Possessing a balanced mix of technical and business skills, Data Analysts are responsible for defining organisational data assets, manipulating and linking datasets to support decision‑making across the firm. Using AI coding assistants (e.g. Claude Code, approved tools), alongside SQL/Python to deliver faster, reliable, well‑governed analytics solutions in a regulated environment.

What you’ll be responsible for:

  • Work with Data colleagues and Business Data Offices to deliver strategic initiatives aligned to organisational objectives.
  • Analyse data using statistical techniques and communicate insights effectively to senior stakeholders.
  • Examine and improve data quality, collaborating with change and technology teams to enhance systems and database design.
  • Summarise and present complex data and conclusions in formats appropriate to the audience.
  • Embed best practice data standards and ways of working across the organisation.
  • Act as a representative of the Data function, supporting a collaborative and data‑driven culture.
  • Use AI assistants to accelerate SQL/Python development, refactoring, analysis, and documentation.
  • Apply disciplined validation (sense checks, reconciliations, peer review/testing where appropriate) — especially for AI‑generated outputs.
  • Build repeatable, deployable outputs (curated datasets, automated reporting, dashboards) rather than one‑off analysis.
  • Turn recurring work into reusable components (templates, shared queries, documented metric definitions).
  • Hands‑on experience with Claude Code/coding assistants and knowing how to use them safely and effectively.
  • Strong SQL + Python (with a “production mindset”: clarity, performance, reproducibility).
  • Comfort with Snowflake + Power BI (and cloud exposure like Azure/AWS if you want it explicit).
  • Strong judgement on when to trust vs. verify AI outputs.

About you:

Key Skills:

  • Ability to work autonomously and as part of a team.
  • Confident at managing relationships and communicating at all levels.
  • Delivery oriented and able to work under pressure in a complex business environment.
  • Analytical and problem‑solving skills – apply analytical techniques to present a solution.
  • Data profiling, data cleansing, and data enrichment skills.
  • Data visualisation – interpret requirements and present data in a clear and compelling way.

Technical Knowledge:

  • Modern Workplace, remote working, O365 Productivity stack.
  • Cloud service experience - AWS and/or Azure.
  • Databases – SQL Server, Oracle, NoSQL.
  • SQL, Microsoft Excel.
  • Data Integration tools (Talend, SSIS).
  • Cloud based Big Data frameworks such as data lake, relational and NoSQL databases.
  • Visualisation tools.
  • Data modelling tools.
  • Hands‑on experience with Claude Code/coding assistants and knowing how to use them safely and effectively.
  • Strong SQL + Python (with a “production mindset”.)
  • Comfort with Snowflake + Power BI (and cloud exposure like Azure/AWS if you want it explicit).
  • Strong judgement on when to trust vs. verify AI outputs.

Communication and Collaboration:

  • Excellent communication skills to engage with stakeholders at all levels.
  • Ability to coach and support colleagues in data roles.

Our offer to you:

We offer a comprehensive remuneration package, which we review regularly, and benefits include:

  • A company pension – 9% non‑contributory or 10% if you contribute 5%.
  • Private medical insurance – Individual on joining, family after 1 year’s service.
  • Life assurance – 8 × salary.
  • Company share scheme.
  • Discretionary bonus.
  • Flexible holidays – purchase up to 5 additional days.
  • Green Car Scheme.
  • Family friendly policies – enhanced family leave for parents & carers.
  • Study support – study days and funding for courses and qualifications.
  • Season travel ticket loans.
  • Other voluntary benefits you can choose to suit you.

Equal Opportunity:

We are committed to building a team that is made up of diverse skills, experiences and abilities and encourage applications from all backgrounds. We welcome individuals who share our values. We’re a Disability Confident Employer (level 2) under the UK Government scheme. If you require adjustments to apply for a role at Rathbones, please contact us to let us know what adjustments you may need.

Data Analyst in London employer: Rathbone Brothers

At Rathbones, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in our Glasgow, Liverpool, and London offices. Our Data Analysts benefit from a comprehensive remuneration package, including a generous pension scheme, private medical insurance, and flexible holidays, alongside ample opportunities for professional growth through study support and a commitment to diversity and inclusion. Join us to be part of a forward-thinking team that values your contributions and supports your career development in a thriving environment.

Rathbone Brothers

Contact Details:

Rathbone Brothers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in London

Get Involved in Data Science Meetups

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Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Rathbone Brothers.

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Rathbone Brothers.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Rathbone Brothers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst in London

Problem-Solving Skills
Communication Skills
SQL
Automation
Python
Attention to Detail
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Rathbone Brothers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rathbone Brothers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Rathbone Brothers

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Rathbone Brothers!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.