Queen Square Recruitment

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst (GenAI Focus) for a 6-month contract in London/Edinburgh (Hybrid – 2 Days), offering £450-£500/day. Key skills include Python, SQL, and experience in financial services with GenAI exposure.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date
March 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #Python #Version Control #Snowflake #Tableau #Datasets #GitLab #AWS (Amazon Web Services) #AI (Artificial Intelligence) #BI (Business Intelligence) #Data Architecture #SQL (Structured Query Language) #Data Analysis #Scala #Microsoft Power BI
Role description
Data Analyst (GenAI Focus) 📍 London / Edinburgh (Hybrid – 2 Days) 📄 6-Month Contract | Day Rate: £450-£500/day (Inside IR35) Our client, a top global organization, is seeking a skilled Data Analyst with GenAI exposure to join a high-impact financial services programme. This role will focus on delivering data-driven insights, supporting AI-led initiatives, and enabling strategic decision-making through advanced analytics. As a GenAI Data Analyst, you will deliver end-to-end data analysis, generate actionable insights, and support AI-driven capabilities. You’ll work closely with business stakeholders to translate requirements into scalable analytical solutions. Key Responsibilities • Deliver end-to-end data analysis using SQL and Python • Generate insights, automate processes, and support strategic decision-making • Build interactive dashboards and visualisations for performance tracking • Create customer/policy data cohorts using enterprise tools in line with programme requirements • Develop analytical insights from large-scale banking datasets • Collaborate with stakeholders to translate business needs into AI-enabled solutions • Support alignment with broader analytics and data teams Essential Skills & Experience • Strong hands-on experience with Python and SQL for data analysis • Advanced SQL skills (Snowflake / AWS environments preferred) • Experience using visualisation tools (e.g., Tableau, Power BI, QuickSuite) • Familiarity with AWS data and AI services • Strong critical thinking and problem-solving capabilities • Experience managing stakeholders in a structured enterprise environment • Good understanding of data dependencies and governance across analytics teams Desirable • Exposure to GenAI or AI-driven analytics initiatives • Experience working within financial services environments • Understanding of cloud-native data architectures • Experience using GitLab or similar version control tools If this is relevant, please apply with your CV and we’ll be in touch. Thank you!