UK

United Kingdom · Sustainability · Mid-Level (2-5 years)

ESG Disclosure Coordinator

Here is the whole job, in plain words. What it is, 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.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior ESG Disclosure Analyst
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as ESG Reporting Specialist · Sustainability Data Analyst · Junior ESG 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 4 Diploma in Non Domestic Green Deal Advice Awarding Body for the Built Environment · Level 4 · covers 2 of 2 standards
ABBE Level 3 Diploma in Domestic Green Deal Advice Awarding Body for the Built Environment · Level 3 · covers 2 of 2 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 non-domestic Green Deal Advice Reports ABBE Level 4 Diploma in Non Domestic Green Deal Advice
Prepare and issue domestic Green Deal Advice Reports ABBE Level 3 Diploma in Domestic Green Deal Advice

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
Sustainability Fluency building care for people and planet into the work
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for ESG Disclosure Coordinator

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

  1. Prepare and issue non-domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 2 standards Level 4
  2. Prepare and issue domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 2 standards Level 3
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 an ESG Disclosure Coordinator?

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

The new skills this role is being asked for

  • Prompt Engineering for ESG Analysis
  • Advanced Data Visualisation for ESG
Why each one is rising

The future skills this job leans on

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 ESG Disclosure Coordinator plan as you set up, starting with the free Data Fluency module. No card.

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

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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

An ESG disclosure coordinator collects, checks and prepares the data used in sustainability reports and investor disclosures. Getting this right matters, since errors can damage reputation and investor trust. The work involves making sure claims about sustainability are backed by solid, verifiable data.

4What you'd actually use

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

Excel (Power Query, XLOOKUP, PivotTables) Intermediate

You'll be cleaning and formatting large datasets, using functions like XLOOKUP to combine information, and creating basic pivot tables and charts for initial analysis and reporting. Power Query will be your friend for automating data imports.

Workiva Wdesk (or similar ESG reporting platform) Intermediate

You'll be entering validated data, attaching evidence files, running pre-built reports, and following established workflows for our public disclosures. You'll need to be comfortable navigating the platform and understanding its structure.

SharePoint Lists & Document Management Intermediate

You'll be managing file versions in SharePoint, ensuring all data sources and documentation are organised and accessible. You might even use SharePoint Lists for simple data collection or tracking.

Power BI / Tableau Basic

You'll be viewing and filtering existing dashboards to extract specific data points or trends for your reports. You won't be building new dashboards from scratch yet, but you'll know how to get the information you need.

MS Teams / Asana / Jira Intermediate

You'll be tracking your personal tasks, collaborating with colleagues in team channels, uploading documents, and keeping project plans updated for reporting cycles. It's how we keep everything moving.

5What 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 choiceComing in Where you are nowThe step above
Data Validation Methodology Follows established procedures; escalates if unsure. Chooses appropriate validation methods within guidelines; proposes minor improvements to existing methods. Designs and implements new validation methodologies for complex data sets; sets standards for the team.
Data Discrepancy Resolution Identifies discrepancy and escalates to supervisor for resolution. Investigates discrepancies, proposes solutions to data owners, and resolves routine issues independently. Escalates complex or politically sensitive issues. Leads resolution of major data discrepancies across functions; arbitrates disagreements between data owners; implements preventative measures.
Reporting Timeline Adjustments Flags potential delays to supervisor; does not adjust timelines. Flags potential delays and proposes minor adjustments to internal sub-deadlines, seeking approval from Senior Analyst. Negotiates and approves significant adjustments to reporting timelines with cross-functional leads; manages impact on overall project plan.
External Communications (e.g., to rating agencies) Drafts responses for supervisor review and approval; does not send directly. Drafts responses and data submissions for specific reports (e.g., CDP) for Senior Analyst review and approval before sending. Owns and approves direct communications and data submissions to rating agencies and auditors; represents the team in discussions.

6How 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 Accuracy Rate
The percentage of validated data points that are free from errors or inconsistencies when compared to source documents.
Target · >99.5% on all validated data points for key disclosures.

If you're collecting 200 key data points for our CDP submission, we'd expect no more than one minor error found during internal review or external assurance.

On-Time Data Collection
The percentage of internal data requests that are completed and submitted by their agreed-upon deadlines.
Target · 100% of internal data requests completed by deadline (after allowing for reasonable stakeholder delays and follow-ups).

If you send out 15 requests for energy data, we'd expect all 15 to be in your hands by the deadline you set, or you've got a clear, documented reason for any delay and a plan to get it.

Evidence Logging Completeness
The percentage of key metrics in public disclosures that are linked to auditable source documents or clear data lineage.
Target · 100% of key ESG metrics linked to auditable source documents.

For every number in our annual report, you should be able to show exactly where it came from – a utility bill, an HR report, a production log – and how it was calculated. No 'magic numbers'.

Reporting Platform Data Entry Speed
The average time it takes to input and cross-reference a set of validated data points into our ESG reporting platform (e.g., Workiva).
Target · Reduce average data entry time by 10% year-over-year through process optimisation.

If it took you 20 hours to input all Scope 1 & 2 GHG data last year, we'd be looking for that to drop to 18 hours this year, perhaps by using new platform features or better data prep.

Data Traceability & Audit Readiness
How easily and clearly you can demonstrate the journey of a data point from its original source to its final reported value.
  • External auditors consistently praise the clarity of your documentation and the ease with which they can verify data. You'll have clear data lineage maps or process flowcharts. Your colleagues can pick up your work and understand exactly how you got to a number.
Stakeholder Responsiveness & Support
How effectively you respond to data requests or queries from internal teams (e.g., Communications, Legal) and external partners (e.g., rating agencies).
  • You'll get positive feedback from internal teams about your helpfulness and quick turnaround on data queries. You proactively offer support to data owners struggling to find information. Rating agencies send fewer follow-up questions because your initial data submission is so clear.
Process Adherence & Improvement
Your ability to follow established data collection and validation processes, and to suggest small, practical improvements.
  • Your work consistently follows our documented procedures. You're not just following the rules
  • you're also suggesting 'small wins' to make things a bit smoother, like a new Excel template or a better way to organise files in SharePoint. Your manager trusts you to stick to the plan.
Proactive Issue Identification
Your knack for spotting potential data problems or reporting challenges before they become big headaches.
  • You flag a potential inconsistency in energy data before the report goes out. You notice a new regulatory update that might impact our next disclosure and bring it to your manager's attention. You're asking the 'what if' questions about data quality early on.

7Would you like it

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

What people enjoy
Making a Tangible Impact Through Accuracy

You'll feel a real sense of satisfaction when you spot a data error that could have gone public, or when you successfully track down a tricky data point that completes a report. Knowing your meticulous work underpins our public credibility will be a big driver.

Successfully validating a complex Scope 3 emissions calculation, knowing it will be published and scrutinised by investors, and feeling proud that it's correct.

Bringing Order to Complexity

If you enjoy taking a jumble of spreadsheets and emails and turning them into a clean, auditable dataset, you'll love the day-to-day work here. The challenge of standardising disparate information and creating clear processes will motivate you.

Developing a new, simplified process for collecting waste data from 10 different sites, reducing the time it takes by 20% and improving accuracy.

Being the 'Go-To' for Data

You'll become the person colleagues turn to when they need to understand a specific ESG metric or find a piece of data. Being seen as the expert and reliable source for disclosure information will be rewarding.

The Communications team asking you to double-check a claim in a press release because they trust your data knowledge implicitly.

What frustrates people
  • Data Herding: Spending 60% of your time chasing down data from 50 different people across the globe who see your request as a low-priority administrative burden.
  • Garbage In, Gospel Out: Being held accountable for the accuracy of your final report, even when you're forced to use incomplete, estimated, or poorly documented data from other departments.
  • Moving Goalposts: A major framework (like ISSB or ESRS) releases a critical update or 'final' guidance three months before your reporting deadline, forcing a major scramble to adapt.
  • The Translation Burden: Constantly having to explain complex ESG concepts (like market-based vs. location-based emissions) to senior executives who just want a simple 'good' or 'bad' number.
  • The 'Reporting Factory': The period from January to April feels like a relentless, high-pressure assembly line of data validation, narrative writing, and review cycles with zero room for strategic work.
  • Last-Minute Surprises: The head of a major business unit informs you a week before publication that their energy data for Q4 was 'completely wrong' and needs to be restated, impacting all your GHG calculations.
What this role does not give you
  • High-level strategic planning from day one (that comes later, with experience).
  • A quiet, uninterrupted work environment (expect regular pings and requests).
  • Complete control over data sources (you'll rely on others for raw input).
  • Immediate, visible impact on every single project (some work is foundational and long-term).

8Who you work with

Your work directly impacts our company's public image and financial standing. Accurate disclosures help us attract responsible investors and avoid regulatory headaches. Frankly, you're a key part of showing the world we're serious about sustainability, not just saying it.

Inside the business
  • Facilities Managers (for energy and water data)
  • HR Team (for diversity and inclusion metrics, employee training data)
  • Operations Teams (for waste, production, and safety data)
  • Internal Audit (they'll want to see your processes)
  • Communications Team (they write the narrative around your numbers)
  • Legal Department (they check everything before it goes public)
Outside the business
  • External Assurance Providers (the auditors who verify our data)
  • ESG Rating Agencies (like MSCI, Sustainalytics, CDP)
  • Investors and Analysts (they read our reports very closely)

9What you need before you start

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

  • At least 2-5 years of experience in a data-heavy role, ideally within sustainability, finance, or a compliance function.
  • Proven experience in collecting, validating, and managing large datasets, with a keen eye for detail.
  • Demonstrable experience with Excel at an intermediate level, including advanced functions and data manipulation.
  • A track record of successfully working with multiple stakeholders to gather information or complete tasks.
  • A solid understanding of at least one major ESG reporting framework (e.g., GRI, SASB) from a practical application perspective.
  • The ability to clearly document processes and data sources for audit purposes.

10What to practise next

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

Advanced Excel Data Modelling & Automation

While platforms like Workiva are key, Excel remains the workhorse for many data transformations. Moving beyond basic functions to building robust, auditable data models and even simple macros will dramatically increase your efficiency and the reliability of your data.

Power Query for Complex Data Ingestion · Data Model Design for Scalability · Basic VBA for Task Automation

  • This week: Explore YouTube tutorials on Power Query for Excel. Find one specific task you can automate.
  • This month: Build a small, robust data model in Excel that pulls data from two different sources using Power Query.
  • Month 2: Try recording a simple macro to automate a formatting task you do regularly.
  • Month 3: Document one of your new Excel automation processes and share it with the team.

Quick win: Start using XLOOKUP instead of VLOOKUP. It's more powerful and easier to use.

ESG Reporting Platform Administration

As you become more familiar with our ESG reporting platform (e.g., Workiva), you'll move beyond just data entry to understanding its configuration. This will allow you to troubleshoot issues more effectively and even suggest ways to optimise its use.

Platform Configuration & Template Management · User Permissions & Workflow Management · Troubleshooting Integration Errors

  • This week: Spend extra time in Workiva's help section, understanding how different modules connect.
  • This month: Ask your Senior Analyst to walk you through how a data collection template was built.
  • Month 2: Shadow the Senior Analyst when they're troubleshooting a platform issue.
  • Month 3: Take an online course or webinar offered by Workiva on advanced user features.

Quick win: Familiarise yourself with all the reporting options and filters available in Workiva. You might find a report you didn't know existed.

11Staying current once you are in

What people here do to keep up
  • Attending webinars and workshops on new ESG reporting frameworks (e.g., ISSB, ESRS).
  • Joining professional networks like IEMA (Institute of Environmental Management & Assessment) or the UK Sustainable Investment and Finance Association (UKSIF).
  • Taking online courses in advanced Excel, Power BI, or data visualisation.
  • Reading industry publications and thought leadership pieces from consultancies like PwC, Deloitte, or EY on ESG trends.
  • Participating in internal working groups focused on data quality or process improvement.

12The 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 ESG Analysis

AI is already here, and it's getting smarter. Being able to 'talk' effectively to Large Language Models (LLMs) to summarise dense regulatory text, draft report sections, or even analyse qualitative data will be a game-changer. Those who master this will be significantly more productive.

  • Effective Prompt Construction
  • Output Validation & Hallucination Detection
  • Context Windows & Token Limits
  • AI for Regulatory Summarisation

Advanced Data Visualisation for ESG

As ESG data becomes more complex, simply presenting tables won't cut it. Being able to tell a compelling story with interactive dashboards and clear visualisations will be crucial for communicating insights to non-technical audiences and senior leadership.

  • Dashboard Design Principles
  • Data Storytelling
  • Interactive Reporting
  • Accessibility in Visualisation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • ESG Reporting Frameworks (GRI, SASB, TCFD, ISSB)
  • GHG Accounting & Climate Data (GHG Protocol)
  • Data Governance & Assurance Readiness
  • Materiality Assessment (supporting)

14The 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. 1

    From Associate, ESG Reporting (L1)

    1-2 years

    Skills to master

    • Mastering data collection protocols, basic data validation, and understanding the core structure of our key reports. You'll be expected to work more independently and take ownership of specific data streams.

    You're ready to move on when

    • Consistently delivers accurate data on time without constant supervision.
    • Proactively identifies minor data issues and suggests solutions.
    • Demonstrates a solid understanding of our internal data sources and reporting processes.
    • Can effectively communicate with data owners to request information.
  2. 2

    From Data Analyst (other departments)

    2-3 years

    Skills to master

    • Translating your general data analysis skills into the specific context of ESG reporting. This means learning the frameworks, understanding the nuances of non-financial data, and adapting to our assurance-ready standards.

    You're ready to move on when

    • Strong Excel and data management skills are already in place.
    • Quickly picks up new reporting frameworks and understands their requirements.
    • Shows a genuine interest in sustainability and how data drives transparency.
    • Can demonstrate experience in data quality control and process documentation.
  3. 3

    From Junior Compliance or Audit Role

    2-3 years

    Skills to master

    • Applying your understanding of controls and audit trails to ESG data. You'll need to develop a deeper understanding of the specific ESG metrics and how they're calculated, moving from checking compliance to actively managing the data.

    You're ready to move on when

    • Excellent attention to detail and a methodical approach to work.
    • Strong understanding of audit principles and documentation requirements.
    • Ability to quickly learn new subject matter (ESG frameworks).
    • Experience in managing information requests from various internal teams.

15Where this role leads

The long view: This work can lead to ESG reporting management, roles in sustainability strategy, or senior positions overseeing sustainability reporting for a whole organisation.

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 ESG Disclosure Coordinator is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • To Senior ESG Disclosure Analyst (L3)

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 non-domestic Green Deal Advice Reports, worked against ESG Disclosure Coordinator.

Prepare and issue non-domestic Green Deal Advice Reports Level 4

Applied to your work in ESG Disclosure Coordinator

1. To enable the learner to describe the prescribed format and content of a Non-domestic Green Deal Advice Report. 2. To enable the learner to identify approved software options and select appropriate software for different types of non-domestic assessments.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 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.

See Your Progress Grow Illustration
ESG Disclosure Coordinator
  • ESG Reporting Frameworks (GRI, SASB, TCFD, ISSB)
  • GHG Accounting & Climate Data (GHG Protocol)
  • Data Governance & Assurance Readiness
  • Materiality Assessment (supporting)
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.

16The 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

ESG Disclosure Coordinator is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. To Senior ESG Disclosure Analyst (L3)

    2-3 years in this role

    This is a natural next step, moving from owning a process to leading entire reporting projects and mentoring junior colleagues.

    • Deep expertise in all major ESG reporting frameworks (GRI, SASB, TCFD, ISSB, CSRD/ESRS).
    • Ability to design and configure data collection templates in ESG reporting platforms.
    • Advanced GHG accounting, including more complex Scope 3 categories.
    • Leading materiality assessments and documenting the process for auditors.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, ESG reporting can be a massive data-wrangling exercise. But what if you could cut down on the tedious, repetitive bits and focus on the really interesting analysis? Our team is already using AI tools to do just that, and you'll be expected to dive in too.

We're not talking about replacing your job; we're talking about giving you a superpower. Imagine automating the extraction of data from hundreds of documents, spotting anomalies in seconds, or getting a first draft of a report section in minutes. That's the reality here. We'll give you access to the tools and the training to become an AI-powered ESG Disclosure Coordinator.

Automated Data Extraction

Use AI-powered OCR tools (like those in Workiva or dedicated platforms) to automatically scan and pull key data – think kWh from utility bills, waste volumes from invoices, or employee numbers from HR reports – from thousands of unstructured PDFs and images. It'll populate your spreadsheets or our reporting platform for you, saving you loads of manual effort.

Anomaly Detection & Insight

Apply machine learning models to our historical ESG datasets (e.g., water usage, safety incidents, GHG emissions). The AI will automatically flag any significant deviations or weird spikes that could mean a data error or, more importantly, a real-world operational issue that needs your investigation. It's like having an extra pair of eyes, but faster.

Regulatory & Peer Benchmarking

Use a large language model (LLM) to quickly summarise newly released, dense regulatory documents (like an ESRS update) into the key data requirements that matter to us. You can also use it to analyse and benchmark our draft disclosures against the published reports of 5-10 key competitors, giving you a quick sense of where we stand.

First-Draft Narrative Generation

Feed structured data tables (e.g., GHG emissions by scope, DEI statistics, water usage) and key themes into a generative AI tool. It'll create a solid first draft of the corresponding narrative sections for our annual sustainability report. You'll then refine it, add the human touch, and ensure it aligns with our brand voice, but the heavy lifting of getting words on the page is done.

Common questions

Common questions

How do you become an ESG Disclosure Coordinator?

Common routes in include From Associate, ESG Reporting (1-2 years), From Data Analyst (other departments) (2-3 years) and From Junior Compliance or Audit Role (2-3 years). Times vary with prior experience.

Where can an ESG Disclosure Coordinator progress to?

This role can lead on to To Senior ESG Disclosure Analyst (2-3 years in this role), depending on the skills you build.

What new skills matter most for an ESG Disclosure Coordinator?

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

Free tools

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17Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in sustainability

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills involved, careful data management, understanding regulations, and working across different teams, apply beyond any one employer. They can lead to broader sustainability roles, internal audit, compliance, or investor relations work.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

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 Data 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.