Data Analyst

Nature Metrics; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

A leading company in biodiversity monitoring is seeking a Data Analyst to lead analytical projects, build reports, and improve data literacy across teams. This hands-on role involves collaboration with various departments to enhance data-driven decision-making and support the development of internal data tools.

Benefits

Competitive Salary

Flexible work arrangements

Health insurance

Enhanced annual leave

Cycle to Work Scheme

Qualifications

• Prior experience as a data analyst in a commercial setting.
• Familiarity with data engineering workflows and principles.

Responsibilities

• Lead analysis projects from scoping to delivery across various teams.
• Develop internal reporting processes and build insightful dashboards.

Skills

SQL

Python

Communication

Collaboration

Tools

Google Cloud Platform

BigQuery

Looker

Metabase

Power BI

Git

Job description

The role

NatureMetrics is a global leader in biodiversity monitoring and environmental DNA (eDNA) analysis, transforming the scale at which nature can be quantified. Our cutting-edge solutions enable organisations to monitor nature impact across sectors, from conservation to industry and inform sustainability decisions with unprecedented accuracy. With a strong market leading position, NatureMetrics has established a robust client base and developed a proprietary software platform that makes biodiversity insights accessible, actionable and scalable. As Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024 and TechNation Future Fifty 2025 cohort members, we have the potential and the opportunity to change the way organisations operate.

As we grow, we're looking for a Data Analyst to take the lead on analytical work that helps teams across the business make better, data-informed decisions.

In this role, you’ll own analysis projects from start to finish, build clear and useful reports and dashboards, help prioritise analytics work and support the development of our internal data tools and infrastructure. You’ll also play a key part in improving data literacy across the company.

It’s a hands-on, cross-functional role where you’ll collaborate with people across commercial, product, scientific and technical teams and have the chance to shape how data is used across the organisation.

Key Responsibilities
Leading data analysis:Take the lead on analysis projects from scoping to delivery, supporting teams across the business, including commercial, product, science, operations and finance.

Managing analytics priorities:Work with different teams to understand their data needs, help set priorities and keep things aligned with overall business goals.

Building reports and dashboards:Develop internal reporting processes and build insightful dashboards using modern visualisation tools to give teams the information they need, when they need it.

Championing data literacy and best practice:Help colleagues across the business feel confident using data by sharing knowledge, offering support and establishingbest practices in data analysis.

Improving data infrastructure:Work with the data engineering team to build and maintain robust, well-structured data pipelines and help shape our internal data tools by promoting good practices around data quality, documentation and automation.

Collaborating with data science and machine learning team:Support exploratory data analysis to help validate hypotheses and inform the delivery of NatureMetrics' AI and machine learning roadmap.

Why us?

At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose.

About you

We’re looking for someone who’s curious, thrives in a collaborative, cross functional environment, and has a genuine interest in how businesses operate and how data can be used to make better decisions.
You will bring:

• Prior experience as a data analyst working independently within a commercial organisation.
• Proficiency in using SQL and Python for data analysis.
• Experience working with cloud platforms, ideally Google Cloud Platform (GCP) and BigQuery.
• Familiarity with modern data visualisation tools (e.g. Looker, Metabase, Power BI or similar).
• Knowledge of software development best practices such as version control (Git), code testing, and documentation.
• An understanding of data engineering workflows and principles (e.g. modelling data assets, data orchestration, ETL/ELT processes).
• Awareness of data science and machine learning workflows is desirable.
• Excellent communication and stakeholder management skills, with the ability to distill complex ideas for diverse audiences.
• A collaborative mindset and a desire to work cross-functionally across a purpose-driven business.

Desirable but not required:

• Experience working with software as a service (SaaS) products.
• Familiarity with bioinformatics, life sciences or geospatial data.
• Experience with CRM or ERP systems.

What's in it for you

• Competitive Salary
• Impactful work with a purpose-driven team
• Flexible work arrangements
• Opportunities for professional growth
• Benefits package including salary sacrifice pension scheme prioritising sustainability; life assurance; Health insurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy.