> Markdown version of [/jobs/ext/3645123-data-analyst](https://www.wearedevelopers.com/jobs/ext/3645123-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Opus Recruitment Solutions - **Location:** London, UK - **Salary:** £67,600.0 - £75,400.0 - **Contract:** Temporary contract - **Skills:** Data Analysis, Big Data, Database Queries, R (Programming Language), Python (Programming Language), Power BI, SAS (Software), Tableau (Software), Transaction Data, Data Analytics, Performance Monitor, Tools for Reporting - **Published:** October 9, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3012476452-2 ## About the Role * Experience as a Data Analyst within Payments, Banking, FinTech, Cards, or Financial Services. * Strong SQL skills for data extraction and analysis. * Experience with Power BI, Tableau, or similar visualisation tools. * Knowledge of customer segmentation, reporting, and analytics. * Strong analytical and problem-solving capabilities. * Excellent communication and stakeholder management skills. Desirable * Exposure to Python, R, SAS, or other analytics tools. * Experience with propensity modelling or predictive analytics. * Understanding of customer behaviour, transaction data, and payments products. ## Description We are seeking two Data Analysts with experience within the Payments, Banking, FinTech, or Cards sector to support a range of analytical and reporting initiatives. This is an excellent opportunity to work on customer analytics, performance reporting, and dashboard automation within a fast-paced environment., * Conduct backbook segmentation and customer analytics. * Support propensity modelling and predictive analytics activities. * Deliver performance reporting and business insights. * Develop, automate, and maintain dashboards and MI reporting. * Analyse large datasets to identify trends and actionable recommendations. * Collaborate with stakeholders to translate business requirements into analytical solutions. * Ensure data accuracy and quality across all reporting outputs.