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- Tasks: Support sustainability by analysing and presenting emissions data for global events.
- Company: Join a forward-thinking organisation committed to sustainability.
- Benefits: Gain hands-on experience, develop analytical skills, and contribute to meaningful projects.
- Why this job: Make a real impact on sustainability while enhancing your data analysis skills.
- Qualifications: Degree in relevant field and some data analysis experience required.
- Other info: Dynamic role with opportunities for growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
You will support the sustainability function by gathering, cleaning, analysing, and presenting emissions and sustainability-related data across global events. This role is central to building the organisation’s measurement capability for strategic sustainability planning, business case development, and leadership reporting.
Key Responsibilities
- Collect activity data (energy, waste, travel) from suppliers, venues, and event teams worldwide
- Maintain and clean a central sustainability database
- Generate emissions reports for events
- Convert raw data into usable dashboards, insights, and intensity metrics (e.g., emissions per attendee, per sqm)
- Track data requests, manage deadlines and follow-ups
- Collaborate with multiple stakeholders to ensure data completeness and integrity
Ideal Candidate Profile
You are a highly organised, proactive graduate or early-career analyst who is curious about data, keen on structured problem-solving, and motivated by sustainability. You enjoy research and are comfortable working with numbers and messy datasets.
Required Skills & Experience
- Degree in sustainability, environmental science, data analytics, geography, economics or a related field
- Some experience in data analysis (academic or project-based)
- Basic to intermediate familiarity with Power BI (dashboard creation, simple modelling)
- Strong Excel skills and experience in cleaning and tracking data
- Understanding of key sustainability themes (e.g., UN SDGs)
- Excellent stakeholder engagement, communication, and organisational skills
Key Competencies
- Reliable and disciplined with good follow-through
- Comfortable managing inconsistent data and getting it to audit-ready quality
- Able to present data clearly and flag risks when needed
- Self-starter who takes initiative
- Collaborative, but also able to work independently
Culture Fit
You are methodical and find satisfaction in bringing order to unstructured data. You thrive in a role where you support strategic decision-making, even if your work is mostly tactical. You’re passionate about sustainability and want to contribute meaningfully to emissions reporting. This is a hands-on role with a strong tactical focus. We don’t expect prior strategic sustainability experience — what matters most is your interest, discipline, and analytical mindset. Candidates with research experience, internships, Power BI training, or applied analytics in their studies will stand out.
Please apply with your CV (graduate-level only).
Graduate Sustainability Data Analyst in City of London employer: MANU FORTI
Contact Detail:
MANU FORTI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Sustainability Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the sustainability field on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to sustainability. This will give you an edge and demonstrate your passion.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data analysis and sustainability. Practice explaining your thought process when tackling messy datasets.
✨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!
We think you need these skills to ace Graduate Sustainability Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role of a Graduate Sustainability Data Analyst. We want to see how your background in sustainability or data analytics can contribute to our mission!
Showcase Your Data Skills: Since this role involves a lot of data handling, don’t shy away from showcasing your experience with tools like Excel and Power BI. We love seeing how you’ve tackled messy datasets and turned them into clear insights!
Communicate Clearly: Your ability to present data clearly is key! Use your application to demonstrate your communication skills. We appreciate candidates who can explain complex information in a straightforward way.
Express Your Passion for Sustainability: Let us know why sustainability matters to you! Share any projects or experiences that reflect your commitment to this field. We’re looking for candidates who are genuinely motivated to make a difference.
How to prepare for a job interview at MANU FORTI
✨Know Your Data
Before the interview, brush up on your understanding of sustainability data and key metrics. Familiarise yourself with concepts like emissions per attendee and intensity metrics. This will show your genuine interest in the role and help you engage in meaningful discussions.
✨Showcase Your Skills
Be ready to discuss your experience with data analysis tools, especially Power BI and Excel. Prepare examples of how you've cleaned or analysed data in past projects or studies. Highlighting your technical skills will demonstrate your readiness for the role.
✨Prepare Questions
Think of insightful questions to ask about the company's sustainability initiatives and how they measure success. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values and career goals.
✨Emphasise Collaboration
Since the role involves working with multiple stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Discuss your communication style and how you ensure data integrity when working with others.
