United Kingdom · Sustainability · Entry Level (0-2 years)

Carbon Analyst

As a Carbon Analyst, you transform raw data into the foundation of our sustainability strategy.

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

See how AI is changing this job, and get the full read by email.

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As a Carbon Analyst, a good place to start on Prompt Engineering for Data Analysis is Using and Checking AI Tools in Daily Work, a free Future Fluency module at Level 3. You'd practise using everyday AI tools on real tasks from your own week, and checking what they produce before you use it.

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One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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Experience bandEntry Level (0-2 years)
Direct reportsNo direct reports
Reports toCarbon Reduction Specialist
UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Carbon Specialist · Sustainability Data Assistant · ESG Data Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

ABBE Level 3 Diploma in Domestic Green Deal Advice Awarding Body for the Built Environment · Level 3 · covers 2 of 4 standards

ProQual Level 3 Award in Energy Management: Regulatory & Legal Compliance and Carbon Management ProQual Awarding Body · Level 3 · covers 1 of 4 standards

ABBE Level 4 Diploma in Non Domestic Green Deal Advice Awarding Body for the Built Environment · Level 4 · covers 2 of 4 standards

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 1 of 4 standards

BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 1 of 4 standards

NOCN Level 5 Certificate in Productivity Improvement Practice NOCN · Level 5 · covers 1 of 4 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Prepare and issue domestic Green Deal Advice Reports ABBE Level 3 Diploma in Domestic Green Deal Advice

Energy Management: Regulatory & Legal Compliance and Carbon Management ProQual Level 3 Award in Energy Management: Regulatory & Legal Compliance and Carbon Management

Prepare and issue non-domestic Green Deal Advice Reports ABBE Level 4 Diploma in Non Domestic Green Deal Advice

Data Analytics Primer NOCN Level 4 certificate for Data Analysts

Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts

Data Analysis in support of Productivity Improvement Projects NOCN Level 5 Certificate in Productivity Improvement Practice

The future skills this job leans on

AI Fluency working with AI as a thinking partner

Data Fluency turning numbers into a decision

AI Governance Fluency using AI responsibly

Your Plan Illustration

Built for Carbon Analyst

6 units that map to this job, from the qualifications that cover it.

Prepare and issue domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 4 standards Level 3
Energy Management: Regulatory & Legal Compliance and Carbon Management ProQual Awarding Body · covers 1 of 4 standards Level 3
Prepare and issue non-domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 4 standards Level 4
Data Analytics Primer NOCN · covers 1 of 4 standards Level 4
Data Analysis BCS, The Chartered Institute for IT · covers 1 of 4 standards Level 4
Data Analysis in support of Productivity Improvement Projects NOCN · covers 1 of 4 standards Level 5

These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Carbon Analyst?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

How the AI economy is changing work like this

A broad read on this kind of work, not an analysis of this job on its own. Roles that share a pattern get the same answer here.

Fading: AI does more of this

AI is beginning to handle the repetitive data cleaning tasks, freeing you from some of the busywork.

→

Rising: worth more because of AI

Your ability to interpret data with human judgement and propose meaningful insights becomes even more valuable.

The new skills this role is being asked for

Prompt Engineering for Data Analysis
Basic Data Visualisation Storytelling

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Carbon Analyst plan as you set up, starting with the free AI Fluency module. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

Ready to pay? Subscribe for £70 a month

Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

We see you

You sometimes wonder if AI will take over the meticulous data entry that fills your days. But deep down, you know your human touch is needed to catch the nuances that machines might miss.

A carbon analyst collects and checks the data used to measure and cut carbon emissions. The work involves digging into spreadsheets, pulling data from various systems, and making sure it all adds up correctly. It forms the base that other decisions on emissions reduction are built on, so accuracy matters.

4A day in the life

Not a job advert. A real day, built from what this role actually holds.

08:45

You start your day by logging into the carbon accounting platform, ready to input yesterday's data from utility bills and supplier reports.

11:15

You're chasing down a colleague in Finance for a missing report, knowing that every piece of data is crucial for the bigger picture.

14:30

After lunch, you perform quality checks on the morning's data entries, flagging any inconsistencies for your Carbon Reduction Specialist.

16:00

You wrap up the day by preparing a simple report for internal review, pulling charts from the dashboard to illustrate the latest trends.

5What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Microsoft Excel / Google Sheets Intermediate

Cleaning raw data (removing duplicates, formatting), using VLOOKUPs to match data, creating pivot tables for summaries, and building simple charts for internal reporting. You'll be using this a lot for data manipulation and basic analysis.

Carbon Accounting Platforms (e.g., Watershed, Persefoni) Basic

Entering activity data into the platform's pre-configured modules, running standard reports, and navigating the system to find specific data points or previous entries. You'll be the primary data inputter.

BI & Visualization Tools (e.g., Power BI, Tableau) Basic

Viewing and filtering existing dashboards to extract specific data points, exporting data for further analysis in Excel, or creating very simple charts from clean datasets. You won't be building complex dashboards yet.

ERP / Financial Systems (e.g., SAP S/4HANA, Oracle NetSuite) Basic

Navigating specific modules (like procurement or accounts payable) to extract raw data reports, such as fuel spend, freight mileage, or utility costs, which are essential for Scope 3 calculations.

Project Management Tools (e.g., Asana, Jira, Monday.com) Basic

Updating tasks, tracking your personal progress on assigned data collection initiatives, and logging any blockers or issues you encounter. This helps the team keep track of everything.

6What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choice	Coming in	Where you are now	The step above
Data Source Selection	Escalate to Carbon Reduction Specialist. You'll identify potential sources, but they'll decide which one to use.	Propose and justify options to the Senior Carbon Reduction Specialist, who will approve the final choice.	Define and approve primary and secondary data sources within your project scope, consulting with Lead Strategist for major changes.
Emission Factor Application	Use pre-approved emission factors as instructed. Escalate if there's ambiguity or a new data type.	Select appropriate emission factors based on GHG Protocol hierarchy, consulting with Senior Specialist for complex cases.	Define and validate emission factor methodologies for new Scope 3 categories or complex scenarios, seeking peer review.
Process Improvement Suggestions	Suggest minor improvements to your immediate data collection tasks to your Carbon Reduction Specialist.	Propose and implement improvements to specific data collection or calculation processes for your area of ownership.	Design and lead the implementation of significant process improvements across multiple workstreams, getting buy-in from relevant teams.
External Communication (Data Requests)	No direct external communication unless specifically instructed and scripted by your manager.	Communicate directly with internal data providers (e.g., Finance, Operations) to request data and clarify queries.	Represent the team in discussions with external vendors or consultants regarding data quality or methodology.

7How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Data Entry Accuracy

Percentage of data points entered correctly into carbon accounting platforms or spreadsheets.

Target · 99.5% accuracy rate

Out of 2,000 data points reviewed in Q1, only 8 had errors, hitting a 99.6% accuracy rate. That's what we're after.

Timely Data Submission

Completion rate of assigned data collection and entry tasks by their deadlines.

Target · 100% on-time completion for routine tasks

All 15 monthly utility bill entries were completed by the 5th working day, as per the schedule. No chasing needed.

Data Query Resolution Time

Average time taken to respond to and resolve data-related queries from senior team members.

Target · Average resolution within 2 working days

A query about unusual electricity consumption in the London office was investigated and a clear explanation provided within 1.5 days, allowing the specialist to proceed.

Audit Trail Completeness

Ensuring all raw data sources (e.g., invoices, meter readings) are correctly linked and easily retrievable for every data point entered.

Target · 98% of data points have clear, accessible audit trails

During the Q2 review, 490 out of 500 Scope 1 fuel entries had direct links to scanned invoices, making it easy for the auditor to verify.

Adherence to GHG Protocol Guidelines

Consistently following established methodologies for data categorisation and emission factor selection.

Senior team feedback on data quality reviews. Minimal corrections needed post-submission. Ability to explain choices during discussions. For instance, you'd correctly identify if a purchased electricity source should be location-based or market-based when asked.

Proactive Issue Identification

Spotting potential data anomalies or inconsistencies and flagging them before they become bigger problems.

Bringing unusual consumption spikes to a specialist's attention. Highlighting missing data points from a supplier before the deadline. Suggesting a better way to collect a specific data type. For example, 'I noticed our Q3 water usage is double Q2's – should I look into that?'

Learning & Development Engagement

Actively seeking to understand carbon accounting principles and improving technical skills.

Asking thoughtful questions during team meetings. Completing recommended online courses. Applying new Excel functions to improve data processing. Taking notes and referring back to them. Showing you've actually learned from previous feedback.

Internal Stakeholder Collaboration

Effectively working with internal teams (e.g., Finance, Operations) to gather necessary data without causing friction.

Receiving positive feedback from data providers about your clear requests and polite follow-ups. Successfully obtaining data from a tricky department. Building good working relationships that make future data collection easier. They'll actually pick up your calls.

8Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy

Making a Tangible Contribution to Climate Action

You'll feel good knowing that every accurate data point you enter, every calculation you verify, directly contributes to our company's ability to reduce its environmental impact. It's not abstract; it's real numbers driving real change.

Seeing your compiled data used in a report that sets a new energy efficiency target for our factories.

Learning and Developing New Skills

You'll be constantly picking up new things—whether it's mastering complex Excel functions, understanding the nuances of the GHG Protocol, or getting to grips with a new carbon accounting platform. This role is a fantastic launchpad for a career in sustainability.

Successfully using Power Query for the first time to clean a messy dataset, saving hours of manual work.

Working in a Purpose-Driven Environment

You'll be surrounded by colleagues who genuinely care about sustainability. You'll be part of a team where your work directly aligns with a bigger mission, which can be incredibly fulfilling.

Participating in team discussions about new decarbonisation initiatives and feeling your data contributes to the conversation.

What frustrates people

Garbage In, Garbage Out: Spending 60% of your time cleaning and validating poor-quality data from systems not designed for carbon metrics.
The 'Cost Centre' Stigma: Dealing with internal teams who see sustainability as a compliance burden rather than a value driver.
Chasing Data: Constantly following up with various departments for information, often feeling like a broken record.
Repetitive Tasks: A lot of the work involves routine data entry and verification, which can feel monotonous at times.
Lack of Immediate Impact: Your work is foundational, so you might not always see the direct, immediate results of your efforts.

What this role does not give you

Direct authority over operational decisions or budgets.
A constant stream of high-level strategic work (that comes later).
A role where you're always presenting to senior leadership (you'll support those who do).
A 'set it and forget it' type of job; data collection is ongoing.

9Who you work with

This role directly underpins the accuracy and credibility of our entire carbon reporting. Without precise data collection and entry, our GHG inventory would be flawed, potentially leading to incorrect strategic decisions, reputational damage from inaccurate public disclosures, and even regulatory non-compliance. You're essentially the gatekeeper of our carbon data integrity.

Inside the business

Operations Teams (e.g., Plant Managers, Logistics)
Finance Department (Accounts Payable, Procurement)
IT Support (for data extraction)
Sustainability Team colleagues (Carbon Reduction Specialists, Senior Specialists)

Outside the business

Utility Providers (for consumption data)
Waste Management Companies (for waste data)

10What you need before you start

Not a wish list. The things you would be expected to already have.

A degree in a relevant field (e.g., Environmental Science, Sustainability, Data Analytics, Business with an environmental focus) OR equivalent practical experience (e.g., 1-2 years in a data-heavy role with an interest in sustainability).
Demonstrable proficiency with Microsoft Excel (intermediate level) – you'll need to hit the ground running with VLOOKUPs and pivot tables.
A foundational understanding of environmental issues and why carbon reduction is a business imperative.
Excellent organisational skills and a meticulous approach to data handling.
The ability to communicate clearly and professionally, both in writing and verbally, especially when chasing data.

11What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Excel for Carbon Modelling

While dedicated platforms are great, Excel remains crucial for ad-hoc analysis, custom calculations, and validating platform outputs. Moving beyond basic functions to more powerful features will make you incredibly efficient.

Power Query: Automating data ingestion and cleanin · Data validation rules: Setting up checks to preven · Advanced formulas: INDEX/MATCH, SUMIFS, array form · Scenario analysis: Building simple models to see h · VBA basics: Understanding simple macros to automat

This quarter: Focus on mastering Power Query for data import and transformation.
Next quarter: Take an advanced Excel course specifically covering data modelling and automation.
Month 6: Start building a small, custom carbon calculation template in Excel that can be reused.
Month 9: Look for opportunities to automate a repetitive Excel task using formulas or simple macros.

Quick win: Learn one new Excel function every week and try to apply it to your daily tasks. Even small efficiencies add up.

Carbon Accounting Platform Optimisation

You'll move beyond just entering data to understanding how the platform works under the hood. This means you'll be able to troubleshoot issues, suggest improvements, and get more value out of our investment in these tools.

Data integration points: How the platform connects · Custom report building: Designing reports beyond t · User permissions and workflows: Understanding how · Troubleshooting common errors: Diagnosing why data · Platform updates: Staying informed about new featu

This quarter: Spend time exploring all sections of our primary carbon accounting platform, not just your usual input areas.
Next quarter: Ask to shadow a senior colleague who configures the platform or troubleshoots issues.
Month 6: Take any vendor-provided training modules on advanced platform features.
Month 9: Propose a small improvement to how we use the platform, based on your deeper understanding.

Quick win: Familiarise yourself with the platform's help documentation and support forums. You'll be surprised how much you can learn there.

12Staying current once you are in

What people here do to keep up

Attending webinars and online courses on carbon accounting basics, climate science, and sustainability reporting.
Joining professional networks or associations focused on sustainability (e.g., IEMA, Green Alliance) to stay informed and connect with peers.
Reading industry reports and whitepapers to understand emerging trends and challenges in corporate sustainability.
Actively seeking feedback from senior colleagues and taking on new, challenging data tasks to expand your skillset.

13The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering for Data Analysis

AI language models (LLMs) are getting incredibly good at helping with data tasks, from cleaning to summarisation. Analysts who know how to 'talk' to these models effectively will be far more productive, saving hours on mundane tasks.

Clear instruction giving: How to write prompts tha
Context windows: Understanding how much data an AI
Iterative prompting: Refining your prompts to impr
Output validation: Knowing how to check if the AI'
Ethical AI use: Understanding data privacy and bia

Basic Data Visualisation Storytelling

Just having the data isn't enough; you need to be able to present it clearly so people can understand it quickly. Even at an entry level, being able to create a simple, effective chart that tells a story will make your work stand out.

Choosing the right chart type for your data (bar,
Clear labelling and titles: Making sure your audie
Highlighting key insights: Drawing attention to th
Avoiding misleading visuals: Ensuring your charts
Accessibility: Making sure your visuals are unders

14What you’ll use

What you’ll use

Skills this role draws on

Technical

GHG Protocol Accounting (Foundational)
Data Collection & Management
Basic Carbon Footprinting Calculations
Audit Trail Documentation

15The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

1
Graduate Sustainability Programme
1-2 years
Skills to master
- Data collection, basic GHG Protocol application, stakeholder communication, project support.
You're ready to move on when
- Consistently accurate data entry and reporting.
- Proactive identification of data issues.
- Ability to independently manage small data projects.
- Strong understanding of our internal data systems.
2
Data Entry / Administrative Role (with sustainability interest)
1-3 years
Skills to master
- Meticulous data management, process adherence, learning foundational sustainability concepts, strong organisational skills.
You're ready to move on when
- Proven track record of high-volume, high-accuracy data work.
- Self-driven learning in sustainability topics (e.g., online courses, personal projects).
- Effective communication with various internal departments.
- Ability to work independently and manage time well.
3
Sustainability Internship / Placement
6-12 months
Skills to master
- Practical application of carbon accounting, understanding business context, working in a corporate environment, specific software proficiency.
You're ready to move on when
- Successful completion of internship projects.
- Positive feedback from internship supervisors.
- Demonstrated ability to contribute to team goals.
- Clear understanding of the company's sustainability objectives.

16How people get here · where they go next

Came from

Graduate Sustainability Programme

1-2 years

You mastered the art of accurate data entry and learned to proactively identify and address data issues.

You are here

Carbon Analyst

Entry Level (0-2 years)

Goes to

Carbon Reduction Specialist (Level 2)

2-3 years

In this role, you take ownership of the GHG inventory for specific business units, validating data and starting to propose solutions.

The long view: This work can lead to senior carbon reduction roles, carbon strategy work, or managing a team of specialists.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Carbon Analyst is actually changing.

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Prepare and issue domestic Green Deal Advice Reports, worked against Carbon Analyst.

Prepare and issue domestic Green Deal Advice Reports Level 3

Applied to your work in Carbon Analyst

This unit aims to provide learners with the knowledge and skills to prepare accurate and comprehensive domestic Green Deal Advice Reports, based on collected data and assessments of energy efficiency measures, and to understand the procedures for lodging and issuing these reports.

The Coach Last time, we talked about the importance of accurate data entry for Scope 1 and 2 emissions. How did it go with your latest report?

You I think I caught most of the errors, but I'm still unsure about a few entries.

The Coach Let's focus on those entries and refine your approach to identifying inconsistencies. Try cross-referencing with previous reports to see if there's a pattern.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
6 Create

An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

A year from now

A year from now, you become the go-to expert for interpreting complex data sets and providing actionable insights that drive our sustainability initiatives forward.

See Your Progress Grow Illustration

Carbon Analyst

GHG Protocol Accounting (Foundational)
Data Collection & Management
Basic Carbon Footprinting Calculations
Audit Trail Documentation

This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

17The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Carbon Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Carbon Reduction Specialist (Level 2)
2-3 years (from Carbon Analyst)

You'll move from supporting data collection to owning the GHG inventory for a specific business unit or Scope 3 category, validating data, and analysing trends. You'll start to propose solutions, not just flag problems.
- Advanced GHG Protocol application (e.g., Scope 2 market-based, specific Scope 3 categories).
- Data validation and assurance readiness.
- Basic MACC curve analysis (supporting senior team).
- Using BI tools for more complex dashboards.

Working with AI on the job

Working with AI

Where AI is starting to help

Imagine spending less time manually copying numbers and more time actually understanding what those numbers mean. That's the reality we're building with AI. For a Carbon Analyst, AI isn't about replacing your job; it's about taking the most repetitive, mind-numbing tasks off your plate so you can focus on the interesting stuff, like spotting patterns or digging into anomalies.

We're investing heavily in AI tools to make our sustainability team more efficient. As a Carbon Analyst, you'll be one of the first to benefit, learning how to use these tools to automate data extraction, speed up research, and get a head start on drafting reports. Think of AI as your super-powered assistant, helping you get through your workload faster and with fewer errors. You'll be using these tools daily, and we'll train you on how to get the most out of them.

Automated Data Extraction

Use AI-powered tools to scan thousands of utility bills (PDFs, images) and automatically pull out key consumption figures, meter numbers, and dates. This means less manual data entry for you and more time to verify the accuracy of the extracted data. You'll be reviewing the AI's work, not doing it all from scratch.

Anomaly Detection Assistant

AI models will flag unusual spikes or drops in energy consumption data, pointing you directly to potential errors or operational issues that need investigation. Instead of manually scanning huge datasets, AI gives you a shortlist of things to check, making your quality control much more efficient.

Regulatory & Tech Summarisation

Got a dense new piece of climate regulation or a technical report on a new decarbonisation technology? Use an AI assistant to get a quick summary of the key points in minutes. This helps you grasp the context faster and understand how new rules might impact the data you're collecting, without having to read every single word.

Reporting & Comms Drafting

When it's time to put together a summary of your data findings or draft an email to a stakeholder requesting information, AI can help. You can feed it your data points and a brief, and it'll give you a solid first draft, saving you time and helping you articulate your points clearly. You'll still need to review and refine, of course.

Common questions

How do you become a Carbon Analyst?

Common routes in include Graduate Sustainability Programme (1-2 years), Data Entry / Administrative Role (with sustainability interest) (1-3 years) and Sustainability Internship / Placement (6-12 months). Times vary with prior experience.

Where can a Carbon Analyst progress to?

This role can lead on to Carbon Reduction Specialist (2-3 years (from Carbon Analyst)), depending on the skills you build.

What new skills matter most for a Carbon Analyst?

Increasingly, Prompt Engineering for Data Analysis and Basic Data Visualisation Storytelling. These are the skills our record of this role lists as growing.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free AI Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.

Carbon Analyst

Where should we send it?

Two short quizzes about you

Will AI change your work as a Carbon Analyst?

What's rising in its place

Prompt Engineering for Data Analysis

Basic Data Visualisation Storytelling

Skills this role draws on

Technical

How you actually get there, here

Graduate Sustainability Programme

Data Entry / Administrative Role (with sustainability interest)

Sustainability Internship / Placement

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

One to one, on the work you already do

A year from now, you become the go-to expert for interpreting complex data sets and providing actionable insights that drive our sustainability initiatives forward.

Everything else the record holds

The career path, and where it branches

Carbon Reduction Specialist (Level 2)

Where AI is starting to help

Automated Data Extraction

Anomaly Detection Assistant

Regulatory & Tech Summarisation

Reporting & Comms Drafting

Common questions

Want a read on where you stand?