{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Analyst [209883]”, “description”: “
Overview
We are partnering with a global technology company that uses AI to deliver financial software. The role is a contract Data Analyst (up to Oct 2026) with a pay of £217.09 per day (37.5 hrs/week PAYE). The Data Analyst will build data foundations, provide dashboards, automate reporting, and embed AI analytics into operations.
Key Responsibilities
- Collaborate with engineering to develop robust data pipelines, improve data integrity, and define metrics and governance for diverse markets.
- Create and maintain scalable, user‑friendly dashboards that provide visibility into key performance metrics across the customer journey.
- Deliver deep‑dive analytics, conduct root‑cause analysis, and translate findings to actionable recommendations that improve customer journeys, staffing, and routing decisions.
- Leverage Generative AI tools to automate recurring insights, support AI‑powered summarization and anomaly detection, and identify opportunities for intelligent automation.
- Support experimentation and continuous improvement by analysing A/B tests, digital experience evaluations, and measuring the impact of AI‑assisted initiatives.
- Communicate insights and trends clearly to technical and non‑technical stakeholders to influence strategy.
Must‑Have Qualifications
- Experience in Data Analytics or Data Science, preferably with exposure to Customer Success, Operations, or Digital Experience.
- 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 (Snowflake, Databricks, Spark) and ETL processes.
- Enthusiasm for Generative AI and a growth mindset.
- Strong communication skills for presenting analytical findings.
- Problem‑solving skills with the ability to balance strategic priorities and tactical execution.
- Ability to manage multiple projects in a fast‑paced environment.
- Proactive mindset, identifying innovation opportunities.
- BS or MS in an appropriate quantitative field is preferred.
Nice‑to‑Have Qualifications
- Experience with Python or R for advanced analytics or experimentation.
- Knowledge of statistical methods and experimentation (A/B testing).
- Machine learning and Generative AI experience.
- Hands‑on experience with Generative AI in analytics workflows.
- Experience working with call‑center or digital‑support KPIs.
Equal Employment Opportunity
Aquent is dedicated to improving inclusivity and is an equal opportunities employer. Applications from under‑represented groups are encouraged and accommodations will be provided for applicants with disabilities.
#J-18808-Ljbffr”, “datePosted”: “2026-05-12”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Aquent”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__429301443__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Company: Aquent
Location: London
Job Description:
Overview
We are partnering with a global technology company that uses AI to deliver financial software. The role is a contract Data Analyst (up to Oct 2026) with a pay of £217.09 per day (37.5 hrs/week PAYE). The Data Analyst will build data foundations, provide dashboards, automate reporting, and embed AI analytics into operations.
Key Responsibilities
- Collaborate with engineering to develop robust data pipelines, improve data integrity, and define metrics and governance for diverse markets.
- Create and maintain scalable, user‑friendly dashboards that provide visibility into key performance metrics across the customer journey.
- Deliver deep‑dive analytics, conduct root‑cause analysis, and translate findings to actionable recommendations that improve customer journeys, staffing, and routing decisions.
- Leverage Generative AI tools to automate recurring insights, support AI‑powered summarization and anomaly detection, and identify opportunities for intelligent automation.
- Support experimentation and continuous improvement by analysing A/B tests, digital experience evaluations, and measuring the impact of AI‑assisted initiatives.
- Communicate insights and trends clearly to technical and non‑technical stakeholders to influence strategy.
Must‑Have Qualifications
- Experience in Data Analytics or Data Science, preferably with exposure to Customer Success, Operations, or Digital Experience.
- 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 (Snowflake, Databricks, Spark) and ETL processes.
- Enthusiasm for Generative AI and a growth mindset.
- Strong communication skills for presenting analytical findings.
- Problem‑solving skills with the ability to balance strategic priorities and tactical execution.
- Ability to manage multiple projects in a fast‑paced environment.
- Proactive mindset, identifying innovation opportunities.
- BS or MS in an appropriate quantitative field is preferred.
Nice‑to‑Have Qualifications
- Experience with Python or R for advanced analytics or experimentation.
- Knowledge of statistical methods and experimentation (A/B testing).
- Machine learning and Generative AI experience.
- Hands‑on experience with Generative AI in analytics workflows.
- Experience working with call‑center or digital‑support KPIs.
Equal Employment Opportunity
Aquent is dedicated to improving inclusivity and is an equal opportunities employer. Applications from under‑represented groups are encouraged and accommodations will be provided for applicants with disabilities.
#J-18808-Ljbffr…
Posted: May 12th, 2026