Data Analyst
Job Description & How to Apply Below
Data Analyst £40,000 We are recruiting a Data Analyst to join a fast-growing, subscription-based technology business during a critical phase of global expansion. The company has scaled rapidly and now supports over one million active customers worldwide, with further international growth planned across Europe. This role sits close to the executive team and plays a key part in driving commercial performance.
The successful candidate will work within a high-impact function responsible for the majority of company revenue, using data to shape strategy, optimise recurring revenue and influence senior decision-making. This is a hands-on analytical role suited to someone who enjoys working with large datasets, solving complex commercial problems and delivering insight in a fast-paced, scaling environment. Responsibilities Develop and maintain reports, dashboards and visualisations to track core business KPIs Analyse large and complex datasets to generate actionable insights for leadership teams Identify trends, risks and opportunities, recommending data-driven improvements Investigate operational and commercial challenges and propose effective solutions Work closely with Finance, Marketing and Commercial teams to support revenue growth Skills and Experience 3 years' experience in a Data Analyst or similar analytical role Strong proficiency in SQL Proven experience working with large datasets Exposure to Looker or similar BI/visualisation tools Python experience would be beneficial What's on Offer Starting salary of up to £40,000 Modern, award-winning offices including on-site gym Opportunity to work closely with senior leadership and influence business strategy Join a scaling, global business with a clear mission and strong growth trajectory Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK, offering more opportunities nationwide than any other recruitment agency.
We are proud sponsors of SQLBits, Power Platform World Tour and the London Fabric User Group.
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