Junior Data Analyst

Role: Junior Data Analyst

Location: London

Reports to: Senior Analyst

Contract: 2 year, Fixed term Contract (Full Time – 40 hours/wk)

Salary Range: £32,000 - £40,000 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 a Junior 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 role would also contribute to 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.
• Support in the development of robust data pipelines for the ingestion of these data sources
• Support the development of scripts in Python to query, analyse, and interpret data using statistical techniques
• Support the Development of 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 Junior 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.
• Good 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
• Good examples recordof data analytics work and development of robust data processing pipelines
• 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 teams spending at least 40% of their time in the office with their colleagues.

We offer a range of competitive benefits as a CPI team member which include a generous PTO of 28 days per year, 5 study days, Christmas Office closure, Private Health Insurance, a homeworking and wellbeing benefits

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.
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