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- Tasks: Analyse climate finance data and support impactful projects for a sustainable future.
- Company: Join CPI, a leader in climate finance analysis and advisory.
- Benefits: Enjoy hybrid working, competitive salary, and a range of benefits.
- Why this job: Make a real difference in the fight against climate change through data analysis.
- 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. We are unique in our focus on finance, our ability to get the right people to the table, and our analytical rigor.
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. This will include but is not limited to investment data and transaction and impact attributes.
- 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. Candidates without such a degree but who can demonstrate experience in a similar Data Analyst / Data Scientist / Data Engineering role are welcome to apply. Non-traditional qualifications with a significant Python for Data Analysis component will also be considered.
- 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 have 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.
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.
Climate Data Analyst (Hybrid) - Impact & Insight in London employer: CLIMATE POLICY INITIATIVE
Contact Detail:
CLIMATE POLICY INITIATIVE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Data Analyst (Hybrid) - Impact & Insight in London
✨Tip Number 1
Network like a pro! Reach out to people in the climate finance sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and be ready to discuss your experience with tools like AWS and Python. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at CPI. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Climate Data Analyst (Hybrid) - Impact & Insight in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Climate Data Analyst role. Highlight relevant experience, especially in data analysis and Python skills, to show us you’re the perfect fit for our team.
Answer Application Questions Thoughtfully: Take your time with the application questions. We want to see your thought process and how you connect your experience to CPI’s mission. Be genuine and let your passion for climate finance shine through!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Whether it’s Python, data visualisation tools, or cloud platforms, we want to know how you’ve used these in past roles. Give us examples that demonstrate your expertise.
Apply Early!: Since we’re reviewing applications as they come in, don’t wait until the last minute. Apply through our website as soon as you can to increase your chances of standing out to us!
How to prepare for a job interview at CLIMATE POLICY INITIATIVE
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data CPI works with, especially in climate finance. Brush up on your Python skills and be ready to discuss how you've used libraries like Pandas or NumPy in past projects. Being able to talk about specific datasets and your analytical approach will show that you're a great fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using data analysis. Think of examples where you developed robust data pipelines or used web scraping techniques. This will demonstrate your practical experience and ability to contribute to CPI’s mission effectively.
✨Communicate Complex Ideas Simply
CPI values the ability to present complex data concepts to non-expert colleagues. Practice explaining your past projects in simple terms, focusing on the impact of your work. This skill will be crucial when collaborating with different teams within the organisation.
✨Align with CPI’s Mission
Research CPI’s goals and values thoroughly. Be prepared to discuss how your personal values align with their mission to drive economic growth while addressing climate change. Showing genuine interest in their work will set you apart from other candidates.