Furthr | B Corp™
Junior Climate Data Analyst - Graduate Role

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About Furthr
Furthr is a leading carbon management service and embedded sustainability partner. We combine best-in-class technology with deep expertise to help organisations across the globe make real progress at every stage of their decarbonisation. From audit-grade emissions measurement to supplier engagement and transition planning, we help our teams move from reporting cycles to operational reduction and reporting systems. In practice, that means cleaner data, automated workflows, clearer ownership, and a structured path to reduction. We're proud to maintain a near-100% client retention rate across our seven years, from SMEs to leading global organisations.
Role Description
Every tonne of carbon we help a client measure starts out as a messy pile of utility bills, spend data, and supplier files. We're looking for a junior data analyst to turn that into the clean, reliable numbers that sit behind meaningful climate action. You'll build and maintain the pipelines and spreadsheets that take raw client data and convert it into standardised formats ready for emissions calculations and reporting. You'll also sit in on client calls to understand the business behind the numbers, so the automation you build actually reflects how each client's world really works.
What You'll Do
- Take raw client data files in varied formats and structures and process them into clean, standardised templates.
- Build and improve Python scripts to automate recurring data cleaning, transformation, and reporting tasks - replacing manual spreadsheet work wherever possible.
- Innovate new solutions to complex data problems, transforming information into usable carbon data.
- Build systems to extract and store emissions data from online resources, such as product carbon footprints, and supplier-specific emissions data, enriching measurement information for accurate, action-focused carbon measurements.
- Join client calls to understand their operations, data sources, and reporting needs, and translate that context into how their data should be handled.
- Spot data quality issues, gaps, or inconsistencies early, and flag or resolve them before they hit downstream reporting.
- Document data processes and assumptions so pipelines are maintainable as clients and data sources change.
- Work closely with the wider team to understand GHG accounting methodology and apply it correctly to each client's data.
- Maintain data behind decarbonisation models for active strategies to decrease company emissions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- Solid working knowledge of Python for data manipulation (e.g. pandas) and Excel (formulas, pivot tables).
- Some experience building automations or reports from raw data - school projects, internships, or personal projects all count.
- Comfortable working with messy, inconsistent, real-world data and figuring out how to standardise it.
- Innovative, problem-solving mindset - we are a small start up and there is a lot of flexibility to design and build experimental solutions.
- Comfortable using AI tools (e.g. Copilot, ChatGPT, Claude) to speed up coding and data work.
- Good communication skills - able to sit on a client call, ask sensible questions, and take clear notes.
- Curious and happy to learn GHG accounting and sustainability concepts on the job.
- Organised and detail-oriented; comfortable owning a process end-to-end.
- Interest in climate, sustainability, or ESG topics.
- Right to work in the UK


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Nice to Have
- Exposure to SQL or databases.
- Google Cloud Platform experience.
- Software engineering knowledge (as a start up we work on a wide range of projects and often build data-based internal tools for the team to use).
- Familiarity with version control (Git).
How to Apply
Submit your CV here via Linkedin, and also please take a moment fill out this short survey here: https://forms.gle/dmQccKHnB2Jq5Yfj8
Employment Time
Full Time
Work Schedule
9AM-18PM, Hybrid Work Model (2 Days Minimum in London Office)
Salary
£30,000 starting, 3 month review, 6-9 month salary level attainment plan
Perks
Furthr Subscription, Pension Contribution, Annual Staff Events and Trips to Reforestation and Carbon Offset Sites
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