Business Data Analyst

Starting: October 2026

Pay Comments: PAYE - 37.5 hrs/week

Duration: 10 months

Aquent is partnering with a leading global technology company that is revolutionising how individuals and businesses manage their financial lives. This innovative organisation is deeply committed to customer success, leveraging data-driven strategies to enhance experiences and drive operational excellence across diverse international markets. They are at the forefront of integrating AI into their core workflows, transforming how they generate insights and automate processes.

We are seeking a highly motivated and forward-thinking Data Analyst to join a dynamic team dedicated to building cutting-edge data capabilities. In this pivotal role, you won't just analyse data; you'll be instrumental in shaping strategy, enabling actionable insights, and establishing robust, AI-ready data foundations that scale across multiple regions. You will be at the heart of improving how this company measures and delivers customer success, directly influencing Customer Experience, Digital Experience, Service Delivery, and Supportability, all while working with groundbreaking AI-native analytics.

This is a 10-month hybrid contract, offering up to £217.09 per day (PAYE). Shortlisted candidates will be contacted by COB Monday, 7th September. Due to the number of applications, we’re unable to get back to each candidate individually.

• Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions and governance tailored for international markets.
• Develop data capabilities that function consistently across multiple regions and countries, while adapting to specific local requirements (e.g., regulatory, language, or workflow differences).
• Automate recurring reporting and validation processes to boost accuracy and efficiency, ensuring data structures and taxonomies are optimized for downstream AI consumption and model-readiness.
• Create and maintain scalable, user-friendly dashboards that provide comprehensive visibility into key performance metrics, designing reporting that connects metrics across the entire customer journey rather than in isolated silos.
• Deliver deep-dive analytics by conducting root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
• Translate analytical findings into actionable recommendations that improve customer journeys, optimise staffing and routing decisions, and reduce escalations.
• Advance AI-native analytics by leveraging Generative AI tools to automate recurring insight generation, support AI-powered summarisation and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation.
• Enable experimentation and continuous improvement by supporting A/B testing and digital experience evaluations, analysing performance outcomes, and quantifying customer and business impact.
• Provide baseline metrics, monitor results, and deliver insights to scale successful initiatives, including evaluating the performance and customer impact of AI-assisted and digital experiences.
• Influence strategy through compelling storytelling, communicating insights and trends clearly and persuasively to both technical and non-technical stakeholders to ensure alignment on decisions that enhance customer experience, digital adoption, operational performance, and supportability.

• Solid experience in Data Analytics or Data Science, with ideal exposure to Customer Success, Operations, or Digital Experience domains.
• Proficiency in SQL for data extraction, transformation, and pipeline development.
• Experience with…