Role: Data Analyst Location: London Reports to: Senior Data Analyst Contract: Permanent, Full Time Salary Range: £39,000 - £45,000 per annum (depending on experience) Updated: March 2026 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 useable 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 find a full list please see here 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.