Junior Data Analyst

Overview

A 24-month fixed-term junior data analyst role within CPI's data science team, supporting climate finance tracking and financial institutions' net zero transition analysis under senior guidance.

What you'll do

• Contribute to quantitative methodologies and conduct exploratory data analysis under the guidance of senior colleagues, primarily supporting climate finance flow tracking and financial institutions' net zero transitions.
• Help assess how structured and unstructured data sources can be used to produce analytical results.
• Develop and maintain data pipeline components that ingest, clean, validate and process raw data according to defined standards, with code review and guidance from senior team members.
• Work with structured datasets as well as unstructured and nontraditional data sources.
• Support the application of AI/ML and statistical techniques to enhance data analysis, including ingestion of unstructured data, imputation of incomplete data, entity and transaction resolution across inconsistent sources, and classification of financial flows, commitments and policies where labelled training data are scarce.
• Assist research teams in querying, analysing and interpreting data outputs, including building dashboards and visualizations (sometimes in partnership with the Communications team).
• Contribute to narrative reports and presentations to disseminate analytical results.
• Support continuous improvement of the data science team's best practices and data infrastructure, including maintaining documentation and assisting with quality assurance processes.
• Effectively use AI assistants (primarily Codex) to enhance productivity, while critically evaluating their output.

What you'll need

• A strong commitment to CPI's mission and values.
• A university degree in a quantitative field such as computer science, mathematics, statistics, engineering, economics or finance; candidates from other fields who can demonstrate strong data science or analytics skills will also be considered.
• Minimum of two years of professional experience in data science or analytics; relevant internship, academic research or capstone project experience will be considered.
• Demonstrated understanding of or interest in climate finance, public policy, financial institutions and markets, and/or international macroeconomics and finance.
• Proficiency in writing and understanding Python for data analysis and visualization, and familiarity with SQL.
• Comparable experience in another language such as R will be considered when candidates are willing to translate those skills into Python.
• Foundational understanding of statistical and machine learning concepts; relevant coursework or project experience might include econometrics, natural language processing, classification and clustering methods, or applied ML.
• Familiarity with Git/GitHub, or willingness to learn.
• Curiosity and eagerness to learn, including the ability to quickly acquire new technical skills and domain knowledge with guidance from colleagues.
• Strong communication skills, particularly in explaining quantitative analytics to non-technical audiences.
• Fluency in written and spoken English.
• Strong collaboration and organizational skills.
• Ability to manage assigned workloads, ask for help when needed, and incorporate feedback constructively.

Nice to have

• Experience using AI coding tools in production, with a firm understanding of and ability to critically evaluate any AI-generated code delivered.
• Experience using cloud platforms such as AWS, Azure and/or Google Cloud Platform.
• Exposure to financial datasets such as Bloomberg NEF, S&P Capital IQ, LSEG/Refinitiv, etc.
• Familiarity with Databricks.

Details

• Fixed-term contract of 24 months.
• Full-time position (40 hours), based in the India office in New Delhi.
• Flexible working policy: mix of remote working with 3 days in the office.
• Applicants must be eligible to work in India; no visa sponsorship is offered.
• Reports to Senior Analyst or Analyst.