Job Opportunities API

THE ROLE As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals. This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise. KEY RESPONSIBILITIES Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders. Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting. Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team. Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements. Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake) Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG &