Data Analyst – Geoscience Data Platform

Snowfox Discovery; City Of London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading company in natural hydrogen exploration is seeking a Data Analyst for their Geoscience Data Platform. The ideal candidate will have a bachelor's degree and 1-2 years of experience in data analysis. You will be responsible for ingesting, cleaning, and organising geoscience datasets while collaborating with interdisciplinary teams. This entry-level role requires proficiency in SQL, spreadsheets, and basic Python skills. Join us to contribute to cutting-edge natural hydrogen exploration and the global energy transition.

Benefits

Competitive salary

Opportunities for professional development

Qualifications

• 1–2 years experience in data analysis or data management, or strong academic equivalent.
• Proficiency in SQL and spreadsheets.
• Familiarity with GIS tools and geospatial data formats desirable.

Responsibilities

• Ingest and standardise geological, geophysical, and geochemical datasets.
• Maintain quality-control logs for data ingestion.
• Support development of internal dashboards and data tools.

Skills

SQL

Spreadsheets (BigQuery, Excel, Sheets)

Basic Python (Pandas)

Detail-oriented approach

Strong problem-solving skills

Education

Bachelor's degree in data science, computer science, earth sciences, GIS, or related field

Tools

GIS tools (ArcGIS, QGIS)

Job description

Job Title: Data Analyst – Geoscience Data Platform

Location: Snowfox Discovery headquarters - London Paddington, U.K.

Company Overview: Snowfox Discovery is a global natural hydrogen exploration company with the ambition of accelerating the energy transition by establishing natural hydrogen as a cost competitive, low carbon source of energy. We leverage advanced geoscience and data analytics to identify and assess natural hydrogen systems.

We are building a data platform to support this work and are looking for a practical, early‑career data analyst to help ingest, clean, and manage the geoscience datasets that underpin our technical and scientific work. This role supports both the data platform and geoscience team.

Job Summary: The Data Analyst – Geoscience Data Platform will support the ingestion, cleaning, organisation, and preparation of geoscience datasets used across Snowfox’s exploration workflows. This is a hands‑on, entry‑level role focused on managing structured and unstructured geological, geochemical, and spatial datasets and maintaining the quality and consistency of Snowfox’s internal database.

The role sits within Snowfox’s data platform function and involves close collaboration with geoscientists, data engineers, and the exploration leadership team. You will help run standardised ingestion workflows, maintain data quality controls, and support the development of internal tools and dashboards. This position is well suited for someone with strong data skills (SQL, spreadsheets, basic Python) who enjoys structured problem‑solving and wants to grow their capabilities in geoscience data and cloud‑based workflows.

Key Responsibilities

Data Engineering

• Ingest and standardise geological, geophysical, and geochemical datasets (CSV, shapefile, LAS, etc.).
• Maintain triage, meta‑data, and quality‑control logs for data ingestion.
• Assist with routine data cleaning, validation, and harmonisation.
• Support the development and documentation of standard ingestion workflows and simple automation.
• Contribute to the development of internal dashboards and data tools.

Collaboration & Communication

• Work closely with geoscientists and engineers to prepare datasets for evaluations and internal studies.
• Help produce figures, tables, and data extracts for technical reports and presentations.
• Communicate issues, data gaps, and QC findings clearly and proactively.
• Stay informed about developments in data handling and natural hydrogen exploration.

Qualifications and Experience

• Bachelor’s degree in data science, computer science, earth sciences, GIS, or a related field.
• 1–2 years’ experience in data analysis or data management (or strong academic equivalent).
• Proficiency in SQL and spreadsheets (BigQuery / Excel / Sheets).
• Basic Python (Pandas) or willingness to learn.
• Detail‑oriented, structured approach to data cleaning, organisation, and version control.
• Familiarity with GIS tools (ArcGIS, QGIS) and geospatial data formats desirable.
• Strong problem‑solving skills and ability to work collaboratively within interdisciplinary teams.

Why Join Us?

• Be at the forefront of natural hydrogen exploration, contributing to the global energy transition.
• Work with a multidisciplinary team building one of the world’s first natural hydrogen data platforms.
• Develop your technical skills across cloud data tools, geoscience workflows, and data engineering practices.
• Competitive salary and opportunities for professional development.

If you are passionate about data‑driven exploration and eager to make an impact in the future of clean energy, we encourage you to apply!

Application deadline: 31.01.2026