Gazelle Global

Data Analyst GenAi

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst GenAi, contract length unspecified, offering a competitive pay rate. Key skills include Python, SQL, and Generative AI experience. Familiarity with financial crime domains and AWS services is essential. Remote work location available.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Analysis #AI (Artificial Intelligence) #Data Quality #SQL (Structured Query Language) #Visualization #Monitoring #Azure #NumPy #Data Pipeline #Scala #Python #AWS (Amazon Web Services) #Databricks #Pandas #BI (Business Intelligence)
Role description
GenAI Data Analyst – Job Description About the Role: We are seeking a talented GenAI Data Analyst to deliver impactful data solutions within our organization. This role focuses on leveraging Generative AI technologies to drive insights and improve processes. Key Responsibilities: • Conduct end-to-end data analysis using SQL and Python, generating actionable insights and automating processes. • Develop interactive dashboards and visualizations for performance tracking and business intelligence. • Build, finetune, benchmark, and evaluate GenAI/LLM models including RAG pipelines, establishing robust evaluation frameworks. • Design scalable data pipelines, ensuring data quality and implementing strong governance aligned with commercial and institutional requirements. • Collaborate closely with business stakeholders to translate needs into analytical solutions and AI capabilities that deliver measurable value. Essential Skills & Experience: • Strong experience in data analysis using Python (Pandas, NumPy) and SQL. • Solid understanding of Generative AI concepts (LLMs, embeddings, prompt engineering). • Experience working with both structured and unstructured data (text, logs, transaction data). • Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud). • Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred).