Data Analyst [209883]

Aquent is proud to partner with a leading global technology company dedicated to empowering individuals and businesses through innovative solutions. This organization is at the forefront of digital transformation, constantly evolving to meet the needs of a diverse global customer base and committed to leveraging cutting-edge technology, including AI, to enhance customer experiences and operational efficiency. Are you a highly motivated Data Analyst with a passion for driving impact through data and AI? In this pivotal role, you won’t just analyze data; you’ll be instrumental in building the foundational data capabilities that power strategic decisions across diverse international markets. You’ll directly influence customer experience, digital adoption, and operational excellence, all while embedding advanced AI-native analytics into core workflows. This is your chance to contribute to a team that’s not just experimenting with AI, but actively integrating it to automate insights, reduce manual reporting, and advance predictive capabilities on a global scale. If you’re excited by the prospect of transforming data into actionable strategies and being at the forefront of AI innovation, we want to hear from you! This role is critical in addressing analytics gaps by enabling actionable insights, automating dashboards, and ensuring consistent, reliable data foundations. You will play a pivotal role in improving how the organization measures and delivers customer success, driving impact across Customer Experience, Digital Experience, Service Delivery, and Supportability. By partnering closely with cross-functional teams, you’ll ensure that data informs strategy, enhances customer journeys, and scales operational excellence. You will be an integral part of a team actively building AI-native analytics capabilities, embedding AI into core workflows to automate insights, reduce manual reporting, and advance predictive capabilities. This is a contract until Oct 2026 (with potential to extrend but not guaranteed), offering up to £217.09 per day – 37.5hrs/week (PAYE). The shorlisted candidates will be contacted ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually.

Key Responsibilities

• Building Robust Data Foundations: Collaborate with engineering to develop data pipelines, improve data integrity, and establish clear metric definitions and governance tailored for diverse markets. Build data capabilities that work consistently across multiple regions and countries, adapting to specific local needs (e.g., regulatory, language, or workflow differences). Automate recurring reporting and validation processes to increase accuracy and efficiency. Ensure data structures and taxonomies are built for downstream AI consumption and model-readiness.
• Developing Actionable Dashboards & Reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics. Design reporting that connects metrics across the entire end-to-end customer journey, providing teams with timely, market-relevant insights for data-informed decisions.
• Delivering Deep-Dive Analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies. Translate findings into actionable recommendations that improve customer journeys, optimize staffing and routing decisions, and reduce escalations.
• Advancing AI-Native Analytics: Leverage Generative AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation, helping the team move faster and deliver more scalable, proactive insights.
• Enabling Experimentation & Continuous Improvement: Support A/B testing and digital experience evaluations by analyzing 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.
• Influencing Strategy Through Storytelling: Communicate insights and trends clearly and persuasively to both technical and non-technical stakeholders, ensuring alignment on decisions that enhance customer experience, digital adoption, operational performance, and supportability.

Must-Have Qualifications

• Experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains.
• Proficiency in SQL for data extraction, transformation, and pipeline development.
• Experience with dashboarding and visualization tools (e.g., Tableau, Qlik).
• Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes.
• A genuine enthusiasm for Generative AI and a growth mindset towards how emerging tools can accelerate analytical work — you’re actively curious about how Large Language Models (LLMs), AI-native workflows, and intelligent automation can make you faster and more impactful.
• Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences.
• Strong problem-solving skills with the ability to balance strategic priorities and tactical execution.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• Proactive and growth-oriented mindset — you identify opportunities for innovation rather than just responding to problems.
• BS or MS in an appropriate quantitative field is preferred.

Nice-to-Have Qualifications

• Experience with Python or R for advanced analytics, automation, or experimentation support.
• Knowledge of statistical methods and experimentation (A/B testing).
• Machine learning and Generative AI experience.
• Hands-on experience applying Generative AI to analytics workflows (e.g., automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines).
• Experience working with call center and/or digital support Key Performance Indicators (KPIs).

Client Description

Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.