£45,000 Per year
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Data Analyst role is a 12-month contract position based in London, requiring a hybrid working arrangement with four days on-site. The successful candidate will work with complex datasets, develop data pipelines, and provide insights to support strategic decisions while collaborating with various stakeholders. Proficiency in Python, Pandas, and SQL is essential, along with experience in the Clean Energy sector.
Key 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
Key Skills:
- 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
- Experience with machine learning frameworks (e.g., PyTorch) - Nice-to-Have
- Familiarity with workflow automation or LLM integrations (e.g., LangChain) - Nice-to-Have
- Graduate degree (Master’s or PhD) - Nice-to-Have
Salary (Rate): £45,000.00 yearly
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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)