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  "job_description": "Build clever tools, shape data products, and support high‑impact projects\n• Join a growing data tools team building smart automation and web‑scraping solutions.\n• Heavy focus on Python, SQL, tooling, APIs and data pipelines.\n• Real variety across web scraping, sentiment analysis, internal development and client‑driven tasks.\n\nAs 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.\n\nWhat you’ll be doing\n\nIn this role, you’ll help design, build, test and refine tools that make complicated data straightforward and accessible. You’ll produce clear, accurate reporting, manage data pipelines, and support client‑facing project work. You’ll work on internal dashboards and surveys, external tools, and larger commercial data products. You’ll also work on web scraping projects, collecting product and market data, and supporting analysis linked to stock market sources and sentiment research.\n\nYou’ll help create Python tools, automate data collection, build API integrations, and support data cleaning and structuring. A lot of the work is bits‑and‑pieces problem solving, picking up small but important tasks that keep larger projects moving. You’ll shadow senior team members early on, gradually taking more ownership as you become confident with the team’s tooling and processes.\n\nYou’ll write clean, maintainable code, help automate tasks, and contribute to shaping future ways of working. You’ll be involved in training across the business, sharing knowledge and helping others learn new tools and techniques.\n\nYou’ll be required to come into the London office three day per week.\n\nWhat experience you’ll need to apply\n• A 2:1 degree or above (or equivalent) in a quantitative, technical or analytical subject\n• Minimum of a year of experience working in an analyst role (or a role with similar responsibilities to the above)\n• Solid working knowledge of Python, with experience writing clean, readable and maintainable code\n• Practical experience using SQL for querying and working with datasets\n• Exposure to data pipelines, APIs or automation through academic projects, internships or commercial work\n• Experience in web scraping and data collection techniques\n• Experience with Tableau (preferred) or PowerBI\n• Strong analytical and problem‑solving skills\n• Proficiency with Excel for analysis and data manipulation\n• A portfolio (GitHub, notebooks, small projects, Tableau Public etc.) is beneficial but not required\n\nWhat you’ll get in return for your experience\n\nThis role offers a salary of up to £47,000 (DOE) plus benefits, along with strong progression opportunities.\n\nYou’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.\n\nWhat's next?\n\nApply today and we’ll get in touch to arrange a call if it’s a good fit!",
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  "job_posted_at_datetime_utc": "2026-03-13T00:00:00.000Z"
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