Business Data Analyst [AQ-19074]

Aquent

Greater London

Hybrid

GBP 24,000 - 40,000

Full time

45 hours ago
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Job summary

Aquent Talent is partnering with a leading technology client to drive data analytics and AI-enabled insights. The role emphasizes building robust data pipelines, governance, and cross-region capabilities to support international markets.

The position involves automating reporting, delivering actionable dashboards, and communicating findings to diverse stakeholders. A strong growth mindset and experience with AI-enabled analytics are highly valued.

Qualifications

  • Solid experience in Data Analytics or Data Science across CS, Ops or Digital Experience domains.
  • Proficiency in SQL for data extraction and pipeline development.
  • Experience with dashboarding/visualization tools (Tableau/Qlik).
  • Familiarity with big data tools and ETL processes.

Responsibilities

  • Build data foundations by collaborating with engineering to develop pipelines and governance.
  • Develop cross-region data capabilities accounting for local requirements.
  • Automate reporting and validation for AI-ready data structures.
  • Create scalable dashboards linking metrics across the customer journey.

Skills

Data Analytics
SQL
Dashboarding
Big data tools
Communication
Project management
Growth mindset

Education

BS or MS in 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. This innovative organization is deeply committed to customer success, leveraging data-driven strategies and integrating AI into core workflows to enhance experiences and drive operational excellence across diverse international markets. Our partner is transforming how they generate insights and automate processes, setting new industry standards and we are seeking exceptional talent to join their team.

Key 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.
Required Skills & Experience
  • 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.
Nice-to-Have Skills
  • Experience with Python or R for advanced analytics, automation, or experimentation support.
  • Knowledge of statistical methods and experimentation (e.g., A/B testing).
  • Machine learning and Generative AI experience.
  • A genuine enthusiasm for Generative AI and a growth mindset toward how emerging tools can accelerate analytical work, actively curious about how LLMs, AI-native workflows, and intelligent automation can enhance impact.
  • 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 KPIs.
  • BS or MS in an appropriate quantitative field.
About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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.

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