Product Data Analyst | Cambridge | Climate Risk

An innovative, fast-growing SaaS company operating at the intersection of climate science, environmental risk, and cutting-edge analytics is looking for a Product Data Analyst to join their team. Following a successful Series B funding round, the company is scaling rapidly and expanding its suite of environmental analytics tools.

This business partners with globally recognized brands and has strong academic foundations, offering deep expertise in climate risk modelling, compliance analytics, and corporate sustainability solutions.

The Role:

As a Product Data Analyst, you will work across cross-functional teams to shape, enhance, and drive the success of the company's environmental analytics platform and internal tooling. You will act as the bridge between product management, engineering, modelling teams, and client solutions — helping to design solutions that enable clients to translate complex environmental data into actionable insights.
You’ll play a crucial role in scaling internal tools and enhancing the platform's capabilities, with a particular focus on business intelligence, reporting, and user-centric solutions.

Key Responsibilities:

Translate complex business requirements into flexible, scalable, and intuitive solutions.
Design and develop interactive reports and dashboards using Power BI.
Identify opportunities for process improvements, streamlining workflows, and scaling solutions.
Work closely with internal and external stakeholders to define product requirements and deliver innovative tools.
Prioritize and manage multiple concurrent projects, ensuring high-quality delivery.
Contribute to design sprints and testing of new product ideas in the market.
About You:

2-5 years of commercial experience in business intelligence, data analytics, or a similar role.
Proven experience building end-to-end BI dashboards (preferably with Power BI).
Ability to translate complex analytics into intuitive, decision-relevant insights.
Strong communication and stakeholder management skills.
Coding experience in statistical languages (e.g., Python, R, Matlab) is highly desirable.
Experience with SQL querying and data modelling would be beneficial.
Exposure to Corporates, Financial Services, or Insurance industries is a plus.
Prior experience engaging directly with clients to gather product requirements is advantageous.
Benefits:

Competitive base salary + annual discretionary bonus
Employer pension contributions
Private medical insurance
Flexible working environment
Commitment to diversity, equity, and inclusion