Data Tools & Python Analyst in London

Data Tools & Python Analyst in London

London Full-Time 33600 - 50400 £ / year (est.) No working from home possible
ADLIB Recruitment | B CorpTM

At a Glance

  • Tasks: Build clever tools and automate data processes using Python and SQL.
  • Company: Join a fast-growing data tools team in a dynamic environment.
  • Benefits: Competitive salary up to £47,000, plus training and career progression.
  • Other info: Work in a collaborative team and gain exposure to diverse projects.
  • Why this job: Make an impact with innovative data solutions and hands-on problem solving.
  • Qualifications: 2:1 degree in a technical field and experience with Python and SQL.

The predicted salary is between 33600 - 50400 £ per year.

Build clever tools, shape data products, and support high-impact projects. Join a growing data tools team building smart automation and web-scraping solutions. Heavy focus on Python, SQL, tooling, APIs and data pipelines. Real variety across web scraping, sentiment analysis, internal development and client-driven tasks.

As a Data Tools & Python Analyst, you’ll join a specialist team that builds tools, pipelines and automation used across a wide range of analytical projects. This role suits someone early in their career who enjoys solving technical problems, creating clever scripts, and working with data in a hands-on way. You’ll work under a highly technical specialist and become part of a team that is growing quickly, with more analysts being hired throughout the year.

What you’ll be doing:

  • Help design, build, test and refine tools that make complicated data straightforward and accessible.
  • Produce clear, accurate reporting, manage data pipelines, and support client-facing project work.
  • Work on internal dashboards and surveys, external tools, and larger commercial data products.
  • Work on web scraping projects, collecting product and market data, and supporting analysis linked to stock market sources and sentiment research.
  • Create Python tools, automate data collection, build API integrations, and support data cleaning and structuring.
  • Shadow senior team members early on, gradually taking more ownership as you become confident with the team’s tooling and processes.
  • Write clean, maintainable code, help automate tasks, and contribute to shaping future ways of working.
  • Be involved in training across the business, sharing knowledge and helping others learn new tools and techniques.
  • Come into the London office three days per week.

What experience you’ll need to apply:

  • A 2:1 degree or above (or equivalent) in a quantitative, technical or analytical subject.
  • Around 1+ year of experience working in an analyst role or in a position involving hands-on data work.
  • Solid working knowledge of Python, with experience writing clean, readable and maintainable code.
  • Practical experience using SQL for querying and working with datasets.
  • Exposure to data pipelines, APIs or automation through academic projects, internships or commercial work.
  • Experience in web scraping and data collection techniques.
  • Experience with Tableau (preferred) or Power BI.
  • Strong analytical and problem-solving skills.
  • Proficiency with Excel for analysis and data manipulation.
  • A portfolio (GitHub, notebooks, small projects, Tableau Public etc.) is beneficial but not required.

What you’ll get in return for your experience:

This role offers a salary of up to £47,000 (DOE) plus benefits, along with strong progression opportunities. You’ll join a team that is growing quickly and investing in modern tooling, data engineering approaches and AI-enabled methods. You’ll gain exposure to varied work, from internal reporting to client-facing tool development, giving you both breadth and depth in your technical career. You’ll also have access to formal training, peer learning and continuous support from experienced technical specialists.

What’s next? Apply today and we’ll get in touch to arrange a call if it’s a good fit!

Data Tools & Python Analyst in London employer: ADLIB Recruitment | B CorpTM

Join a dynamic and innovative team in London as a Data Tools & Python Analyst, where you'll have the opportunity to work on exciting projects that shape data products and automate processes. With a strong focus on employee growth, you'll benefit from hands-on training, mentorship from technical specialists, and access to modern tools and methodologies, all within a collaborative and supportive work culture. This role not only offers competitive salary and benefits but also a clear path for career progression in a rapidly expanding field.

ADLIB Recruitment | B CorpTM

Contact Details:

ADLIB Recruitment | B CorpTM Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a GitHub portfolio showcasing your Python projects, SQL queries, and any web scraping tools you've built. This gives employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your problem-solving approach. We want to see how you think, so don’t just memorise answers!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our exciting projects.

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

Python
SQL
Data Pipelines
APIs
Web Scraping
Data Collection Techniques
Analytical Skills

Some tips for your application 🫡

Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it to solve problems or create tools, so share specific examples that showcase your coding prowess!

Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point, making it easy for us to see your potential.

Include Relevant Experience:Don’t forget to mention any hands-on data work you’ve done, whether through internships, projects, or academic work. We’re looking for practical experience, so make sure to connect your background to the role we’re offering!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. We can’t wait to hear from you!

How to prepare for a job interview at ADLIB Recruitment | B CorpTM

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with writing clean, maintainable code and any projects you've worked on that showcase your abilities. Practising coding challenges can also help you feel more confident.

Showcase Your Data Skills

Prepare to talk about your experience with SQL and data manipulation. Have examples ready of how you've used SQL to query datasets or automate tasks. If you've worked on web scraping projects, be sure to highlight those as well!

Understand the Role and Team Dynamics

Familiarise yourself with the job description and the types of projects the team is involved in. Think about how your skills align with their needs, especially in areas like data pipelines and API integrations. This will show that you're genuinely interested in the role.

Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the team, the tools they use, and the types of projects you'll be working on. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.