At a Glance
- Tasks: Lead geospatial analytics projects and deliver impactful insights on climate and social themes.
- Company: Join NextEnergy Group, a leader in clean energy and sustainability.
- Benefits: Competitive salary, annual bonus, and opportunities for professional growth.
- Other info: Dynamic team environment with international scope and mentorship opportunities.
- Why this job: Make a real difference in sustainability while working with cutting-edge data technologies.
- Qualifications: Experience in data analytics, GIS, and strong communication skills required.
The predicted salary is between 50000 - 65000 € 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 & prioritization skills: The ability to effectively manage yourself and your workload is critical.
- Excellent communication skills in English: You must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non‑technical stakeholders.
- Flexibility: Being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
- 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 (e.g. apprenticeships, arts degrees + work experience).
- 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.
- Competitive base salary and annual discretionary bonus.
Senior Data Analyst (Geospatial) employer: NextEnergy Group
NextEnergy Group is an exceptional employer, offering a dynamic work environment where innovation and sustainability are at the forefront. As a Senior Data Analyst, you will not only lead impactful geospatial analytics projects but also have the opportunity to mentor junior analysts, fostering a culture of continuous learning and collaboration. With a competitive salary, annual bonuses, and the chance to work on international projects, you'll be part of a team dedicated to driving the transition to clean energy while enhancing your professional growth in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (Geospatial)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your geospatial projects and analytics work. This is your chance to demonstrate your technical excellence and storytelling ability, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analysis and geospatial projects. Be ready to discuss how you've led projects, mentored others, and delivered actionable insights that align with sustainability goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst (Geospatial)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your experience with geospatial analytics, data visualisation, and any relevant projects that align with our mission at NextEnergy Group.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used tools like ESRI, SQL, or PowerBI in past roles. This will help us see how you can contribute to our team right away.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to understand your experience and insights without having to decipher complex terms.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at NextEnergy Group!
How to prepare for a job interview at NextEnergy Group
✨Know Your Geospatial Stuff
Make sure you brush up on your knowledge of geospatial platforms like ESRI and QGIS. Be ready to discuss how you've used these tools in past projects, especially in relation to ESG topics. Show them you can translate complex data into actionable insights!
✨Showcase Your Storytelling Skills
Prepare to demonstrate how you can turn data into a compelling narrative. Think about examples where you've communicated complex findings to non-technical stakeholders. Practice explaining your thought process clearly and engagingly.
✨Be Ready to Mentor
Since this role involves mentoring junior analysts, think of instances where you've guided others or led projects. Highlight your leadership style and how you foster a culture of learning and technical excellence within a team.
✨Demonstrate Your Flexibility
Expect questions about how you handle changing priorities and new challenges. Share examples of times when you've adapted to unexpected situations or taken on tasks outside your usual responsibilities. This shows you're a team player who can thrive in a dynamic environment.
