Nicoll Curtin
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position for a 12-month contract in London, requiring proficiency in Python, Pandas, and SQL, with 1-3 years of experience in Clean Energy. Hybrid work involves developing data pipelines and providing insights to stakeholders.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
204
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🗓️ - Date
December 10, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Automation #PyTorch #Datasets #Data Pipeline #Python #SQL (Structured Query Language) #Pandas #Data Accuracy #ML (Machine Learning) #Data Analysis #Databases #Langchain
Role description
Data Analyst – 12 months contract - Hybrid (4 days on-site)
We are seeking a Data Analyst to join a growing team in London. The role involves working on complex datasets, building robust data pipelines, and delivering insights that support strategic decisions. You will collaborate with technical and non-technical stakeholders in a fast-paced environment.
Responsibilities
• Develop and maintain data pipelines using Python, Pandas, and SQL
• Clean, consolidate, and prepare datasets for analysis and modelling
• Build structured databases and visualisation tools
• Provide clear, actionable insights to stakeholders
• Ensure data accuracy and integrity across multiple sources
Mandatory Requirements
• Strong analytical and quantitative skills
• Proficiency in Python, Pandas, and SQL
• Experience in Clean Energy or related sectors (e.g. Hydrogen or Nuclear Energy)
• Excellent communication skills
• Ability to work independently and manage multiple tasks
• Valid work visa for the contract duration
• 1-3 years of experience
Nice-to-Have
• Experience with machine learning frameworks (e.g., PyTorch)
• Familiarity with workflow automation or LLM integrations (e.g., LangChain)
• Graduate degree (Master’s or PhD)
Data Analyst – 12 months contract - Hybrid (4 days on-site)
We are seeking a Data Analyst to join a growing team in London. The role involves working on complex datasets, building robust data pipelines, and delivering insights that support strategic decisions. You will collaborate with technical and non-technical stakeholders in a fast-paced environment.
Responsibilities
• Develop and maintain data pipelines using Python, Pandas, and SQL
• Clean, consolidate, and prepare datasets for analysis and modelling
• Build structured databases and visualisation tools
• Provide clear, actionable insights to stakeholders
• Ensure data accuracy and integrity across multiple sources
Mandatory Requirements
• Strong analytical and quantitative skills
• Proficiency in Python, Pandas, and SQL
• Experience in Clean Energy or related sectors (e.g. Hydrogen or Nuclear Energy)
• Excellent communication skills
• Ability to work independently and manage multiple tasks
• Valid work visa for the contract duration
• 1-3 years of experience
Nice-to-Have
• Experience with machine learning frameworks (e.g., PyTorch)
• Familiarity with workflow automation or LLM integrations (e.g., LangChain)
• Graduate degree (Master’s or PhD)
