Job Description
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.\n\n 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.\n\n The Role:\n\n 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.\n 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.\n\n Key Responsibilities:\n\nTranslate complex business requirements into flexible, scalable, and intuitive solutions.\nDesign and develop interactive reports and dashboards using Power BI.\nIdentify opportunities for process improvements, streamlining workflows, and scaling solutions.\nWork closely with internal and external stakeholders to define product requirements and deliver innovative tools.\nPrioritize and manage multiple concurrent projects, ensuring high-quality delivery.\nContribute to design sprints and testing of new product ideas in the market.\nAbout You:\n\n2-5 years of commercial experience in business intelligence, data analytics, or a similar role.\nProven experience building end-to-end BI dashboards (preferably with Power BI).\nAbility to translate complex analytics into intuitive, decision-relevant insights.\nStrong communication and stakeholder management skills.\nCoding experience in statistical languages (e.g., Python, R, Matlab) is highly desirable.\nExperience with SQL querying and data modelling would be beneficial.\nExposure to Corporates, Financial Services, or Insurance industries is a plus.\nPrior experience engaging directly with clients to gather product requirements is advantageous.\nBenefits:\n\nCompetitive base salary + annual discretionary bonus\nEmployer pension contributions\nPrivate medical insurance\nFlexible working environment\nCommitment to diversity, equity, and inclusion