Data Analyst

NatureMetrics; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in biodiversity monitoring is seeking a Data Analyst to lead analytical projects and enhance data-driven decision-making across teams. The role involves building reports and dashboards, improving data literacy, and collaborating with various departments to utilize data effectively. You will work in a flexible environment that values diversity and inclusion, contributing to impactful work with a purpose-driven team.

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 organization.
• Knowledge of software development best practices.

Responsibilities

• Lead analysis projects from scoping to delivery across teams.
• Build insightful dashboards using modern visualization tools.
• Champion data literacy and establish best practices.

Skills

SQL

Python

Communication

Collaboration

Tools

Google Cloud Platform

BigQuery

Looker

Power BI

Job description

The role

NatureMetrics is a global leader in biodiversity monitoring and environmental DNA (eDNA) analysis, transforming how nature can be quantified. Our innovative solutions enable organisations to monitor environmental impact across various sectors, from conservation to industry, supporting sustainability decisions with unprecedented accuracy. 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 to significantly influence how organisations operate.

We are seeking a Data Analyst to lead analytical initiatives that empower teams to make data-driven decisions. This role involves managing analysis projects from inception to completion, developing clear reports and dashboards, prioritising analytics tasks, and supporting the enhancement of our data tools and infrastructure. Additionally, you will play a key role in elevating data literacy within the company.

This is a hands-on, cross-functional position involving collaboration with commercial, product, scientific, and technical teams to shape data usage across the organisation.

Key Responsibilities

1. Leading data analysis: Manage analysis projects from scoping to delivery, supporting various teams including commercial, product, science, operations, and finance.
2. Managing analytics priorities: Collaborate with teams to understand their data needs, set priorities, and align analytics efforts with business goals.
3. Building reports and dashboards: Create internal reports and develop dashboards using modern visualization tools to provide timely insights.
4. Championing data literacy and best practices: Promote data confidence across the organisation by sharing knowledge, offering support, and establishing analysis standards.
5. Improving data infrastructure: Work with data engineering to develop and maintain structured data pipelines and enhance internal data tools, emphasizing data quality, documentation, and automation.
6. Collaborating with data science and ML teams: Support exploratory data analysis to validate hypotheses and contribute to the AI and machine learning initiatives.

Why us?

At NatureMetrics, diversity and inclusion are integral to our culture. We foster an environment that encourages, supports, and celebrates diverse voices, fueling innovation and strengthening community connections. Our values emphasize equality and collective effort.

About you

We seek a curious, collaborative individual interested in understanding business operations and leveraging data for better decisions. You should have:

• Experience as a data analyst in a commercial setting.
• Proficiency in SQL and Python.
• Experience with cloud platforms, preferably GCP and BigQuery.
• Familiarity with visualization tools such as Looker, Metabase, Power BI, or similar.
• Knowledge of software development practices like version control, testing, and documentation.
• Understanding of data engineering workflows, including data modeling, orchestration, and ETL/ELT processes.
• Desirable: familiarity with data science, machine learning workflows, SaaS products, bioinformatics, life sciences, geospatial data, CRM, or ERP systems.

What's in it for you

• Competitive salary
• Impactful, purpose-driven work
• Flexible working arrangements
• Opportunities for professional development
• Benefits including pension, life assurance, health insurance, extra leave, Cycle to Work, and family-friendly policies.