Senior Data Analyst, Geospatial in London
Senior Data Analyst, Geospatial

Senior Data Analyst, Geospatial in London

London Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
NextEnergy Group

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 diverse team committed to innovation and sustainability.
  • Why this job: Make a real difference in the transition to clean energy while developing your skills.
  • Qualifications: Experience in data analytics, GIS, and strong communication skills are essential.

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.
  • 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.

EXPERIENCE & QUALIFICATIONS

  • Bachelor’s or Masters 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.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days.

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.

ABOUT US

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector. Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.

Senior Data Analyst, Geospatial in London employer: NextEnergy Group

NextEnergy Group is an exceptional employer for a Senior Data Analyst, Geospatial, offering a dynamic and supportive work environment that fosters professional growth and innovation. With a commitment to sustainability and digital transformation, employees benefit from international exposure, hybrid working arrangements, and opportunities to lead impactful projects in the renewable energy sector. The company's strong focus on mentorship and continuous learning ensures that team members can thrive while contributing to meaningful initiatives that drive positive change.
NextEnergy Group

Contact Detail:

NextEnergy Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst, Geospatial in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend events, and connect with potential colleagues 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 employers to see what you 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 tackled challenges and delivered insights in previous roles—this will show your analytical and problem-solving skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to create a more sustainable future.

We think you need these skills to ace Senior Data Analyst, Geospatial in London

Geospatial Analysis
ESRI
QGIS
SQL
Excel
Data Visualisation (PowerBI)
Python
FME
Data Management
Dashboard Design
Environmental Social Governance (ESG)
Analytical Skills
Communication Skills
Mentorship
Process Automation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with geospatial analytics, data visualisation tools, and any relevant projects that showcase your skills in ESG topics.

Craft a Compelling Cover Letter: Your cover letter should tell a story about your passion for data and sustainability. Connect your previous experiences to the responsibilities listed in the job description, showing how you can contribute to our mission.

Showcase Your Technical Skills: Don’t forget to mention your proficiency in geospatial platforms like ESRI and QGIS, as well as your experience with SQL and Python. We want to see how you can bring technical excellence to our team!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, so don’t hesitate!

How to prepare for a job interview at NextEnergy Group

✨Know Your Geospatial Tools

Make sure you're well-versed in the geospatial platforms mentioned in the job description, like ESRI and QGIS. Brush up on your SQL and Excel skills too, as they'll be crucial for data manipulation during the interview.

✨Showcase Your Storytelling Skills

Prepare to discuss how you've translated complex geospatial data into actionable insights in previous roles. Think of specific examples where your storytelling made a difference for stakeholders, as this will demonstrate your ability to communicate effectively.

✨Demonstrate Leadership and Mentorship

Be ready to share experiences where you've mentored junior analysts or led cross-functional projects. Highlight your approach to fostering a culture of technical excellence and continuous learning, as this aligns with the company's values.

✨Stay Current with Industry Trends

Research the latest trends in geospatial analytics and ESG reporting. Being able to discuss recent advancements or tools that could enhance processes will show your intellectual curiosity and commitment to continuous improvement.

Senior Data Analyst, Geospatial in London
NextEnergy Group
Location: London

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