Business Analyst – GenAI & Data-Driven Solutions
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst – GenAI & Data-Driven Solutions, hybrid in Knutsford, with a contract length of "unknown". Pay rate is "unknown". Requires business analysis experience in data-heavy environments, advanced SQL, and knowledge of Microsoft Azure.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
-
🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Knutsford, England, United Kingdom
-
🧠 - Skills detailed
#NLP (Natural Language Processing) #Business Analysis #AI (Artificial Intelligence) #Python #Microsoft Azure #Cloud #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #SQL (Structured Query Language) #Data Profiling #PySpark #Data Bricks #Azure
Role description
I am hiring for Business Analyst – GenAI & Data-Driven Solutions
Location: Knutsford - Hybrid / 2 -3 days Per week in Office
• Experience in business analysis, ideally in data-heavy and AI-driven environments.
• Advanced proficiency in SQL for data profiling, transformation, and reporting.
• Strong understanding of the Microsoft Azure ecosystem.
Preferred Skills & Experience:
• Experience with Azure Data bricks and cloud-based data workflows.
• Familiarity with Python, PySpark, and GenAI technologies (e.g., LLMs, NLP).
• Background in regulated industries such as banking, telecom, or insurance.
Key Skills: GenAI technologies / Azure Data bricks / Data validation / SQL / Banking
I am hiring for Business Analyst – GenAI & Data-Driven Solutions
Location: Knutsford - Hybrid / 2 -3 days Per week in Office
• Experience in business analysis, ideally in data-heavy and AI-driven environments.
• Advanced proficiency in SQL for data profiling, transformation, and reporting.
• Strong understanding of the Microsoft Azure ecosystem.
Preferred Skills & Experience:
• Experience with Azure Data bricks and cloud-based data workflows.
• Familiarity with Python, PySpark, and GenAI technologies (e.g., LLMs, NLP).
• Background in regulated industries such as banking, telecom, or insurance.
Key Skills: GenAI technologies / Azure Data bricks / Data validation / SQL / Banking
