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

ADLIB Recruitment is an exceptional employer, offering a dynamic hybrid working environment in the vibrant town of Cheltenham. With a strong commitment to employee well-being, you will benefit from private healthcare, 30 days of holiday, and ample opportunities for career progression while working on innovative projects that shape the future of hospitality branding. Join a collaborative culture where your creativity is valued and nurtured, making a meaningful impact in your role as a Brand & Art Direction Lead.

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

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Data Tools & Python Analyst at ADLIB Recruitment | B CorpTM, 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 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 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 ADLIB Recruitment | B CorpTM, 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 ADLIB Recruitment | B CorpTM. 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 ADLIB Recruitment | B CorpTM

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 ADLIB Recruitment | B CorpTM!

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.