Climate Data Analyst & SQL Developer

PSD Group

Greater London

On-site

GBP 45,000 - 65,000

Full time

14 days+

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Job summary

PSD Group is seeking a Data Analyst / Database Developer to enhance a proprietary climate modelling toolkit and deliver scalable data solutions for climate-related investments.

The role involves building and optimizing SQL databases, developing data pipelines, and creating reporting tools to support portfolio analysis and decision-making. Strong SQL and coding skills, plus an interest in climate modelling, are key.

Qualifications

  • Strong SQL development skills, including stored procedures, views and queries.
  • Experience with Python and willingness to expand skills across modern technologies.
  • Knowledge of database design, indexing and performance optimization.
  • Familiarity with version control tools (GitHub) and code review practices.
  • Analytical mindset with ability to handle large datasets and derive insights.

Responsibilities

  • Support development and enhancement of climate scenarios and risk analytics within the platform.
  • Collaborate with investment, ESG and climate specialists to deliver reporting solutions.
  • Develop, optimise and maintain SQL databases, stored procedures, functions and data pipelines.
  • Build automated processes to ingest and manage large datasets from internal and external sources.
  • Create reporting and visualization tools to support portfolio analysis and decision-making.
  • Analyse climate and portfolio data to identify trends and actionable insights.
  • Embed AI-enabled solutions into workflows and explore future innovations.

Skills

SQL development
Python
R
AI
Data analysis

Education

Degree in Computer Science
Degree in Mathematics/Statistics/Finance/Data Science

Tools

GitHub

Job description

PSD Group is seeking a Data Analyst / Database Developer to enhance a proprietary climate modelling toolkit and deliver scalable data solutions for climate-related investments.

The role involves building and optimizing SQL databases, developing data pipelines, and creating reporting tools to support portfolio analysis and decision-making. Strong SQL and coding skills, plus an interest in climate modelling, are key.

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