Global AI-Native Data Analyst for Customer Experience

Aquent; Greater London; Hybrid; GBP 24,000 - 40,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Aquent is partnering with a leading global technology company to deliver AI-driven analytics across international markets. This contract role focuses on building robust data foundations, scalable dashboards, and actionable insights to shape customer journeys and operational excellence.

You will collaborate with engineering, analytics, and product teams to standardize metrics, automate reporting, and drive data-driven decisions that improve customer experience and enable scalable AI-ready data

Qualifications

• 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 dashboarding and visualization tools (e.g., Tableau, Qlik, or similar).
• Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes.
• 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, consistently identifying opportunities for innovation.

Responsibilities

• 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, optimize staffing and routing decisions, and reduce escalations.
• Advance AI-native analytics by leveraging 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.
• Enable experimentation and continuous improvement by supporting A/B testing and digital experience evaluations, 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.
• 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.

Skills

SQL proficiency

Data analytics

Dashboarding

Big data tools

Communication skills

Multi-project management

Problem solving

Growth mindset

Education

BS or MS in quantitative field

Tools

Tableau

Qlik

Snowflake

Databricks

Spark

Job description

Aquent is partnering with a leading global technology company to deliver AI-driven analytics across international markets. This contract role focuses on building robust data foundations, scalable dashboards, and actionable insights to shape customer journeys and operational excellence.

You will collaborate with engineering, analytics, and product teams to standardize metrics, automate reporting, and drive data-driven decisions that improve customer experience and enable scalable AI-ready data