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- Tasks: Analyse data to support climate finance initiatives and develop robust data pipelines.
- Company: Join CPI, a leader in sustainable finance and climate policy analysis.
- Benefits: Enjoy hybrid working, competitive salary, and a range of benefits.
- Why this job: Make a real impact on global climate finance while developing your data skills.
- Qualifications: Degree in a quantitative field or relevant experience; strong Python skills required.
- Other info: Flexible working patterns and a commitment to diversity and inclusion.
The predicted salary is between 39000 - 45000 £ per year.
Location: London
Reports to: Senior Data Analyst
Contract: Permanent, Full Time
Salary Range: £39,000 - £45,000 per annum (depending on experience)
About CPI
CPI is an analysis and advisory organization with deep expertise in finance and policy. Our mission is to help governments, businesses, and financial institutions drive economic growth while addressing climate change. CPI has six offices around the world in Austria, Brazil, India, Indonesia, South Africa, the United Kingdom, and the United States. CPI is known as a leader in tracking sustainable investment trends, identifying innovative business models, and supporting the solutions that can drive the transition to a low‑carbon, climate‑resilient, inclusive economy.
About The Role
We are seeking an experienced and dedicated Data Analyst to join the Data Science Team within CPI. The successful candidate will work across the organisation, with a focus on CPI’s Tracking workstream. As part of our Tracking efforts, CPI produces the biennial Global Landscape of Climate Finance, the most comprehensive dataset and analysis of global climate financing available, used extensively in the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports. The successful candidate will contribute to the creation and analysis of this dataset. Additionally, they will support the expansion of CPI’s Net Zero Finance Tracker, providing the most robust, comprehensive and transparent data on the financial sector’s transition to net zero, informing policy direction, investment strategy, and advocacy decisions. The analyst would also support the wider implementation of data science processes across the organization.
Key Responsibilities
- Support the research team in the efficient collection and analysis of varied and cross-disciplinary data to incorporate into usable and reportable formats.
- Develop robust data pipelines for the ingestion of these data sources.
- Develop scripts in Python to query, analyse, and interpret data using statistical techniques.
- Develop Python web scraping scripts to expand the data sources available for analysis.
- Provide input into reports and presentations to disseminate analytical outputs.
- Work with CPI’s communications and research teams to develop data visualizations and web interfaces.
- Contribute to expanding CPI’s AWS Cloud Platform, developing pipelines using AWS Glue and AWS Lambda.
Person Specification
Essential
- A commitment to CPI’s mission and values.
- Degree in a quantitative field, such as computer science, quantitative finance or economics, physics, engineering, mathematics, statistics, or data science.
- Excellent Python skills for data processing and analysis (Jupyter notebooks, Pandas, Numpy) or experience with languages such as R with a willingness to translate those skills into Python.
- Strong record of data analytics work and development of robust data processing pipelines.
- Previous professional work experience in a similar role/related field.
- Fluency in written and spoken English.
- Ability to present complex data concepts to non-expert colleagues.
- Highly organised, with the ability to manage workload and plan outputs.
Desirable
- Experience in web scraping using Python libraries (Scrapy / BeautifulSoup / Selenium etc.).
- Experience with data visualization tools such as Tableau, or Python visualization libraries such as matplotlib or seaborn.
- Familiarity with Bloomberg Terminal and BQuant.
- Experience with key energy and financial databases e.g., BloombergNEF, Refinitiv Eikon, Capital IQ, Rystad etc.
- Understanding of public and/or private international climate finance.
- Experience in Natural Language Processing, particularly data extraction.
- Experience using cloud-based tools for data storage and processing (Azure, AWS, Google Cloud).
- Familiarity with Git workflow.
- Experience using AI Assistants such as Claude Code, Cursor, or Codex.
- Previous background and experience in finance and/or climate policy sectors.
Hybrid Working & Benefits
CPI UK has adopted a hybrid working approach, with many of our colleagues spending part of their working hours at home and part in the office, depending on the nature of the role they are in. We’re flexible on how this works and it may continue to change and evolve. Typically, we request that teams spend at least 40% of their time in the office with their colleagues. We’re also happy to discuss a range of flexible working patterns to meet your individual personal circumstances. We offer a range of competitive benefits as a CPI team member.
To Apply
Please submit your CV and respond to our application questions by Wednesday 8th April 2026. Due to the importance of this role to our CPI projects we are looking to appoint quickly and will be reviewing applications as they are submitted, therefore interested candidates are advised to submit your application at the earliest convenience. We reserve the right to remove this advert, dependent on the level of response received.
Equal Opportunity Employer Statement
Climate Policy Initiative is an equal opportunity employer and committed to improving diversity, equity, and inclusion within our organization. We work hard to create and maintain a supportive and inclusive environment where all individuals can maximise their full potential. Our CPI teams reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a diversity and inclusion is evident through our focus on attracting and retaining staff based on skills and merit. We welcome and strongly encourage applications from candidates of all identities and backgrounds, and do not discriminate on the basis of race, colour, religion, gender or gender identity, sexual orientation, national origin, disability, or age. We are committed to providing reasonable accommodations to applicants and colleagues with disabilities.
Data Analyst in City of London employer: CLIMATE POLICY INITIATIVE
Contact Detail:
CLIMATE POLICY INITIATIVE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current CPI employees on LinkedIn. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python. This gives you a chance to demonstrate your expertise and passion for data, making you stand out in interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis questions and scenarios. Think about how you can relate your past experiences to CPI’s mission and values – they love candidates who align with their goals!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the CPI team and contributing to their important work.
We think you need these skills to ace Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your Python skills, data processing experience, and any relevant projects that align with CPI’s mission. We want to see how your background fits into our world!
Answer Application Questions Thoughtfully: When responding to our application questions, take your time! Show us your passion for climate finance and data analysis. This is your chance to let your personality shine through, so don’t hold back!
Showcase Your Skills: Don’t forget to showcase your technical skills, especially in Python and data visualisation tools. If you’ve got experience with web scraping or cloud platforms, make sure to mention it. We love seeing candidates who can hit the ground running!
Apply Early: Since we’re reviewing applications as they come in, it’s best to apply early. Don’t wait until the last minute! Head over to our website and submit your application to get ahead of the game.
How to prepare for a job interview at CLIMATE POLICY INITIATIVE
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects, as well as any experience with data visualisation tools like Tableau. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Understand CPI's Mission
Before the interview, take some time to really understand CPI’s mission and values. Familiarise yourself with their work on climate finance and how it impacts economic growth. Being able to articulate why you want to be part of this mission will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and processing. Brush up on your knowledge of data pipelines and web scraping techniques. You might even be asked to solve a problem on the spot, so practice explaining your thought process clearly and concisely.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to present complex data concepts to non-expert colleagues. Prepare examples of how you've done this in the past. Highlight your ability to create clear reports and visualisations that make data accessible to everyone, which is crucial for the role at CPI.