Business Data Analyst [AQ-26117]

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

Benefits offered by this job

Hybrid work schedule

Job summary

Aquent is partnering with a leading global technology company to elevate AI-driven analytics and transform customer experience across markets. You will help build robust data foundations, pipelines, and dashboards that empower decision-making at scale.

You will work with engineering and business stakeholders to deliver deep-dive analytics, automate reporting, and apply Generative AI to insights, supporting global customer journeys and operational efficiency.

Qualifications

• Experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains.
• Strong proficiency in SQL for data extraction, transformation, and pipeline development.
• Hands‑on experience with dashboarding and visualization tools such as Tableau, Qlik, or similar.

Responsibilities

• Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions tailored for international markets.
• Develop data capabilities that function consistently across multiple regions while adapting to specific local regulatory, language, or workflow requirements.
• Automate recurring reporting and validation processes to boost accuracy and optimize data structures for downstream AI consumption and model-readiness.
• Create and maintain scalable, user-friendly dashboards that provide comprehensive visibility into key performance metrics across the entire customer journey.
• Deliver deep-dive analytics and conduct root cause analyses to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
• Translate analytical findings into actionable recommendations that optimize staffing, routing decisions, and reduce escalations.
• Advance AI-native analytics by leveraging Generative AI tools to automate insight generation, support anomaly detection, and identify intelligent automation opportunities.
• Enable experimentation by supporting A/B testing and digital experience evaluations, quantifying customer and business impact.
• Influence business strategy through compelling storytelling, communicating complex insights clearly to both technical and non-technical stakeholders.

Skills

Data Analytics

Data Science

SQL

Narrative storytelling

Problem solving

Generative AI interest

Education

BS or MS in a quantitative field

Tools

Tableau

Qlik

Snowflake

Databricks

Spark

Python

R

Job description

Aquent is thrilled to partner with a leading global technology company that is revolutionizing how individuals and businesses manage their financial lives. We are seeking an exceptional analytical mind to help shape the future of customer experience and operational efficiency on a global scale. In this pivotal role, you will do far more than just analyze data; you will be instrumental in building AI-ready data foundations, driving actionable insights, and directly influencing how millions of customers interact with world-class products and services. If you are passionate about leveraging cutting-edge, data-driven strategies and integrating AI into core workflows to make a profound global impact, we want to hear from you!

The Opportunity

As a key member of the team, you will sit at the heart of improving customer journeys and operational performance across diverse international markets. You will collaborate with engineering and business stakeholders to establish robust, scalable data pipelines and deliver deep-dive analytics that solve complex business challenges. This is an exciting opportunity to work with groundbreaking AI-native analytics, turning raw data into compelling narratives that influence strategic decisions and drive tangible improvements across the entire customer lifecycle.

What You'll Do

• Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions tailored for international markets.
• Develop data capabilities that function consistently across multiple regions while adapting to specific local regulatory, language, or workflow requirements.
• Automate recurring reporting and validation processes to boost accuracy and optimize data structures for downstream AI consumption and model-readiness.
• Create and maintain scalable, user-friendly dashboards that provide comprehensive visibility into key performance metrics across the entire customer journey.
• Deliver deep-dive analytics and conduct root cause analyses to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
• Translate analytical findings into actionable recommendations that optimize staffing, routing decisions, and reduce escalations.
• Advance AI-native analytics by leveraging Generative AI tools to automate insight generation, support anomaly detection, and identify intelligent automation opportunities.
• Enable experimentation by supporting A/B testing and digital experience evaluations, quantifying customer and business impact.
• Influence business strategy through compelling storytelling, communicating complex insights clearly to both technical and non-technical stakeholders.

What You'll Bring

• Solid experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains.
• Strong proficiency in SQL for data extraction, transformation, and pipeline development.
• Hands‑on experience with dashboarding and visualization tools such as Tableau, Qlik, or similar.
• Familiarity with big data tools like Snowflake, Databricks, or Spark, alongside solid ETL process knowledge.
• Proven ability to translate complex analytical findings into clear, actionable narratives for diverse audiences.
• Excellent problem‑solving skills with the ability to balance strategic priorities and tactical execution in a fast‑paced environment.
• A proactive, growth‑oriented mindset with a passion for continuous improvement and innovation.

Stand Out Qualifications

• Experience with Python or R for advanced analytics, automation, or experimentation support.
• Knowledge of statistical methods and experimentation, including A/B testing.
• Hands‑on experience or genuine enthusiasm for applying Generative AI, LLMs, and machine learning to analytics workflows.
• Familiarity working with call center metrics and digital support KPIs.
• A BS or MS in a quantitative field (e.g., Mathematics, Statistics, Computer Science, or a related discipline).

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.

Other Requirements

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.