At a Glance
- Tasks: Lead geospatial analytics projects and deliver impactful insights on climate and social themes.
- Company: Join NextEnergy Group, a leader in the solar sector with a focus on sustainability.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a supportive team with international scope and a commitment to diversity.
- Why this job: Make a real difference in sustainability while working with cutting-edge data technologies.
- Qualifications: Experience in data analytics, GIS platforms, and strong communication skills required.
The predicted salary is between 40500 - 49500 £ per year.
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
- 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 & GIS.
- Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects.
- Time management & prioritisation skills: The ability to effectively manage yourself and your workload is critical.
- Excellent communication skills in English: You must be able to organise your thoughts in a way that others find clear and compelling.
- Flexibility: Being an effective team player means being flexible in your approach and open to getting involved with new things.
- Intellectual Curiosity: We are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
- Delivery focus: The ability to proactively churn through work at pace and deliver quality outputs matters.
- Passion for our mission: To generate a more sustainable future by leading the transition to clean energy.
EXPERIENCE & QUALIFICATIONS
- Bachelor’s or Master’s degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements.
- 4-6 years of experience in data analytics or a similar role.
- Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable.
- Experience in geospatial data management and data engineering.
- Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards.
- Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS).
- Experience in renewables/environmental/social assessments and across development, construction and operation stages.
- The right to work in the UK or Italy.
WHAT WE OFFER
- A busy role in a supportive team, with plenty of opportunities to learn.
- International scope – we operate in over 8 countries.
- Hybrid working.
- Competitive base salary and annual discretionary bonus.
DIVERSITY AND INCLUSION
Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression.
Senior Data Analyst, Geospatial in London employer: NextEnergy Capital
NextEnergy Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the renewable energy sector. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, all while contributing to meaningful projects that drive sustainability. Located in a vibrant area, our team enjoys a supportive environment that values creativity and teamwork, making it an ideal place for passionate individuals looking to make a difference.
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We think you need these skills to ace Senior Data Analyst, Geospatial in London
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