UK

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

ESG Reporting 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 Reporting Specialist
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Sustainability Data Analyst · ESG Analyst · Corporate Responsibility Specialist · Sustainability Reporting Associate

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 Reporting 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 Reporting 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 & LLM Integration (for reporting)
  • Advanced Data Governance for Non-Financial Data
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 Reporting Coordinator plan as you set up, starting with the free AI Fluency module. No card.

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3What this role really is

An ESG reporting coordinator collects, checks and organises the data behind sustainability reports and disclosures. The work involves gathering figures from across an organisation and making sure they are accurate and hold up to scrutiny.

4What you'd actually use

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

ESG Platforms (Workiva ESG, Diligent ESG, OneTrust ESG) Intermediate

You'll be entering, validating, and extracting data from these platforms. You'll follow established workflows to ensure data integrity and track progress on reporting tasks. You're comfortable navigating these systems and troubleshooting minor issues.

ERP/Data Sources (SAP S/4HANA, Oracle NetSuite, Workday HCM) Basic

You'll navigate and extract pre-defined reports from these systems (e.g., SAP S/4HANA's Sustainability Control Tower, Workday for HR data) to get the raw numbers for your ESG metrics. You don't need to be an expert, just know how to get the data you need.

Microsoft Excel / Google Sheets Advanced

You're a whiz with VLOOKUP/XLOOKUP, PivotTables, and complex formulas for data cleaning, aggregation, and analysis. You can build and maintain robust spreadsheets for data consolidation and calculations. Power Query is a bonus.

Data Analysis & Visualisation (Power BI / Tableau) Basic

You can populate and refresh existing dashboard templates, ensuring they display the latest ESG data correctly. You might make minor adjustments to visualisations or filters, but you won't be building complex new dashboards from scratch.

Collaboration & Project Management (Asana, Monday.com, MS Teams) Intermediate

You'll manage your assigned tasks, update progress, and track deadlines in tools like Asana or Monday.com. MS Teams or Slack will be your go-to for daily communication and quick check-ins with colleagues and data owners.

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 Methodologies Follows pre-defined validation checklists. Escalates any deviations. Chooses appropriate validation methods for routine data sets. Proposes solutions for minor inconsistencies; escalates major ones. Designs and implements new validation protocols for complex or novel data types. Approves validation approaches for junior team members.
Internal Data Request Prioritisation Prioritises requests based on supervisor's guidance. Independently prioritises own data requests to meet reporting deadlines, consulting with manager on conflicts. Sets overall data request priorities for a workstream, balancing multiple project needs. Resolves conflicts between data owners.
Narrative Drafting for Report Sections Drafts basic sentences based on provided data and templates. Drafts full narrative paragraphs for assigned sections, ensuring accuracy and alignment with overall report messaging. Seeks feedback. Develops the overall narrative and messaging for key report sections, ensuring strategic alignment and compelling storytelling. Reviews junior drafts.
Process Improvement Suggestions Identifies inefficiencies and brings them to supervisor's attention. Proposes specific, actionable improvements to data collection or validation processes. May pilot small changes. Designs and implements significant process improvements across a workstream, often involving new tools or methodologies.

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 Quality: Accuracy Rate
The percentage of data points entered or processed that are free from errors when compared to source documents or previous audit findings.
Target · >99% accuracy rate on all data points entered into the system.

If you process 1,000 data points for a section, no more than 10 should have discrepancies during an internal or external review. Catching that a facility reported 100 kWh instead of 100 MWh is a win.

Timeliness: Data Collection & Submission
The percentage of assigned data collection tasks and report sections completed by their internal deadlines.
Target · 95% of assigned data collection tasks completed by the initial deadline.

If you have 50 data requests due by Friday, you'll have 48 of them sorted and ready. The other two might be late due to external factors, but you'll have chased them relentlessly.

Query Resolution: Internal Stakeholder Response Time
How quickly you acknowledge and resolve queries from internal data owners or other teams about data requests or reporting requirements.
Target · Acknowledge and resolve data owner queries within 48 hours.

A plant manager emails asking for clarification on a waste data request on Monday. You reply by Wednesday with a clear explanation or a plan to get them the answer.

Reporting Framework Compliance
The extent to which our disclosures align with the specific requirements of frameworks like GRI, SASB, or TCFD for the sections you own.
Target · 100% compliance for all mandatory disclosures within your assigned reporting sections.

Ensuring every required indicator under GRI 305 (Emissions) is addressed in the report, even if it means detailing 'why' a specific data point isn't available.

Data Lineage & Audit Trail Quality
The clarity and completeness of the documentation you maintain, showing where each piece of data came from and how it was processed. This is crucial for external assurance.
  • External auditors rarely ask for clarifications on your data sources. Your internal documentation is clear enough that a new team member could easily follow the data journey. You can quickly pull up the original utility bill or HR report for any given data point.
Proactive Problem-Solving
Your ability to spot potential data gaps or inconsistencies early on and propose solutions, rather than waiting for issues to escalate.
  • You flag an unusual spike in energy consumption at a site before anyone else notices and suggest investigating the cause. You identify that two regions are reporting the same metric using different units and propose a standardisation method. You don't just report problems
  • you bring ideas to fix them.
Stakeholder Engagement Effectiveness
How well you build relationships with internal data owners, making it easier to get the information you need, often on time.
  • Data owners respond to your requests promptly and understand 'why' you need the information. They come to you with questions rather than ignoring requests. You're seen as helpful and knowledgeable, not just 'the person who asks for data'.
Contribution to Process Improvement
Your ideas and actions that make our ESG data collection and reporting processes more efficient or robust.
  • You suggest a new template that simplifies data entry for a specific team. You propose a small automation that saves a few hours each month. You actively participate in discussions about how we can make next year's reporting cycle smoother.

7Would you like it

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

What people enjoy
Making a Real Impact on Sustainability

You'll feel a sense of purpose knowing that your meticulous work directly contributes to our company's transparency and progress on critical environmental and social issues. Seeing accurate data published and knowing it informs better decisions will be a big driver.

You're excited to see the final sustainability report published, knowing that the accurate emissions data you painstakingly collected will inform our carbon reduction targets for next year.

The Satisfaction of Solving Puzzles

This role is full of data puzzles – inconsistent formats, missing pieces, conflicting numbers. You'll get a real kick out of digging into these challenges, finding the root cause, and piecing together the complete, accurate picture.

You spend half a day figuring out why the water usage data from one factory looks completely off, only to discover they'd switched measurement units. Fixing it gives you a genuine sense of accomplishment.

Building and Maintaining Order

If you love creating systems, organising information, and ensuring everything is in its right place, you'll thrive. The ongoing process of standardising data, documenting lineage, and preparing for audits will feel satisfyingly productive.

You're proud of the clear data collection templates you've created and the organised folder structure that allows anyone to quickly find the source for any reported metric.

What frustrates people
  • The Data Chase: Spending 50% of your time chasing 100+ 'data owners' (e.g., facility managers, HR partners) who view your requests as a low-priority administrative burden.
  • Apples-to-Oranges Data: Trying to consolidate data from different business units that use inconsistent units, methodologies, or definitions (e.g., one region reports waste in tonnes, another in cubic metres).
  • The Shifting Goalposts: A key reporting standard (like SASB) gets updated or merged mid-way through your reporting cycle, forcing you to re-do work and re-collect data.
  • Accountability without Authority: Being held accountable for the accuracy and timeliness of the entire ESG report, despite having no direct authority over the people who provide the data.
  • The 'Last-Minute Exec Review': The report is finalised, designed, and ready for publication when a senior executive decides they want to change a key narrative or chart, triggering a frantic fire drill.
What this role does not give you
  • High-level strategy setting: You'll be executing the strategy, not defining it.
  • Constant novelty: While there are puzzles, a lot of the work involves recurring data collection cycles.
  • Direct people management: This isn't a team lead role; you'll guide, but not manage.
  • Immediate, visible impact on every single piece of work: Some of your best work will be invisible, preventing errors before they happen.

8Who you work with

This role directly underpins our company's public credibility and compliance in sustainability. Accurate and timely reporting builds trust with investors and regulators, helps us manage risks, and avoids reputational damage. Get it wrong, and we could be accused of 'greenwashing' or face significant fines.

Inside the business
  • Operations Managers (for environmental data like energy, water, waste)
  • HR and People Team (for social data like diversity, training, safety)
  • Finance Department (for financial data related to sustainability investments)
  • Legal & Compliance Teams (for regulatory updates and assurance)
  • Marketing & Communications (for public-facing report narratives)
Outside the business
  • External Auditors (for data assurance)
  • ESG Rating Agencies (MSCI, Sustainalytics, CDP)
  • Investors and Shareholders
  • Regulatory Bodies (e.g., FCA, EU Commission for CSRD)

9What you need before you start

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

  • At least 2 years of experience working with large datasets, ideally in a reporting, finance, or analytical role. You've been around messy numbers before.
  • Proven ability to manage multiple tasks and deadlines simultaneously. You know how to juggle without dropping the ball.
  • Demonstrable experience using advanced Excel functions (VLOOKUP/XLOOKUP, PivotTables) for data manipulation and analysis.
  • A solid understanding of at least one major ESG reporting framework (e.g., GRI or SASB). You don't need to be an expert, but you know the basics.
  • Experience collaborating with different internal teams to gather information. You're not afraid to pick up the phone or send a polite reminder.
  • A genuine interest in sustainability and corporate responsibility. This isn't just a job; you care about the 'why'.

10What to practise next

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

Advanced ESG Platform Configuration

As our reporting needs become more complex and we integrate more data sources, you'll need to move beyond just entering data. You'll be configuring the platform itself to meet our specific requirements.

Template design and customisation · User permissions and access control · Workflow automation within platforms · API integrations (basic understanding)

  • This month: Explore all the settings and configuration options within our current ESG platform. Watch vendor tutorials.
  • Next quarter: Work with your Senior Specialist to shadow them when they're configuring new templates or workflows.
  • Month 4: Take on a small configuration task yourself, perhaps setting up a new user or building a simple custom report.
  • Month 6: Look for online courses or certifications offered by our ESG platform vendor.

Quick win: Become the internal expert on one specific feature of our ESG platform. Help colleagues with common issues.

Intermediate Power BI/Tableau Dashboard Development

While you currently refresh existing dashboards, the ability to design and build new interactive dashboards will become crucial for internal management reporting and helping teams visualise their ESG performance.

Data modelling and relationships · DAX/M language (basic) · Effective visualisation principles · Report publishing and sharing

  • This month: Take an online introductory course on Power BI or Tableau. Focus on building simple charts and tables.
  • Next quarter: Recreate one of our existing Excel reports in Power BI/Tableau. This is a great way to learn by doing.
  • Month 4: Experiment with creating a new, simple dashboard for an internal team, perhaps tracking their monthly waste data.
  • Month 6: Seek feedback on your dashboards from colleagues and look for ways to improve their usability and impact.

Quick win: Try to answer a common data question using Power BI/Tableau instead of Excel. Even a simple chart can be more impactful.

11Staying current once you are in

What people here do to keep up
  • Attending webinars and industry events focused on new ESG regulations (like CSRD) or reporting best practices.
  • Joining professional networks or online communities for sustainability professionals to share insights and learn from peers.
  • Taking online courses to deepen your skills in specific areas, like advanced Excel, Power BI, or specific reporting frameworks.
  • Reading industry publications and reports to stay current with emerging trends and challenges in corporate sustainability.

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 & LLM Integration (for reporting)

Honestly, competitors are already using tools like ChatGPT or Claude to draft report sections in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't a 'nice-to-have' anymore; it's becoming a 'must-have' for efficiency.

  • Context windows and token limits
  • Temperature settings for different tasks
  • Output validation and hallucination detection
  • Prompt chaining for complex analysis

Advanced Data Governance for Non-Financial Data

With regulations like CSRD demanding 'reasonable assurance' on ESG data, we need to treat non-financial data with the same rigour as financial data. This means formalising how we collect, store, and verify every single data point.

  • Data ownership and stewardship
  • Data quality frameworks
  • Data dictionaries and metadata management
  • Internal controls for ESG data

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Sustainability Reporting Frameworks (GRI, SASB, TCFD, ESRS)
  • GHG Accounting (The GHG Protocol)
  • Materiality Assessment
  • Data Assurance & Internal Controls
  • Supply Chain Due Diligence (Basic Understanding)

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

    Associate ESG Analyst / Junior Sustainability Specialist

    1-2 years

    Skills to master

    • Basic data collection, data entry accuracy, understanding of core ESG concepts, foundational Excel skills, ability to follow instructions precisely.

    You're ready to move on when

    • Consistently delivers accurate data entries with minimal supervision.
    • Demonstrates a clear understanding of the 'why' behind data requests.
    • Proactively identifies minor data inconsistencies and brings them to attention.
    • Comfortable working with basic reporting templates and systems.
  2. 2

    Data Analyst (non-sustainability specific)

    2-3 years

    Skills to master

    • Advanced Excel, data cleaning and manipulation, basic dashboarding (Power BI/Tableau), strong analytical and problem-solving skills, experience with large datasets.

    You're ready to move on when

    • Can independently clean and analyse complex datasets.
    • Has built and maintained basic dashboards or reports.
    • Demonstrates a keen eye for detail and data accuracy.
    • Expresses a strong interest in transitioning into the sustainability sector and learning ESG frameworks.
  3. 3

    Compliance or Regulatory Reporting Assistant

    2-4 years

    Skills to master

    • Understanding of regulatory requirements, meticulous documentation, audit trail management, stakeholder coordination for data gathering, attention to detail in reporting.

    You're ready to move on when

    • Experience with annual reporting cycles and strict deadlines.
    • Strong understanding of data governance and controls.
    • Proven ability to work with legal or compliance teams.
    • Can demonstrate how their compliance experience translates to ESG reporting needs.

15Where this role leads

The long view: This role can lead to lead ESG reporting strategist, ESG reporting and disclosure manager, or director of sustainability reporting.

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 Reporting Coordinator is actually changing.

Where it leads

Roles this leads to

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 Reporting Coordinator.

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

Applied to your work in ESG Reporting 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 Reporting Coordinator
  • Sustainability Reporting Frameworks (GRI, SASB, TCFD, ESRS)
  • GHG Accounting (The GHG Protocol)
  • Materiality Assessment
  • Data Assurance & Internal Controls
  • Supply Chain Due Diligence (Basic Understanding)
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 Reporting Coordinator is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior ESG Reporting Specialist

    3-5 years in current role

    Level 3 (Senior)

    • Framework Specialisation Becoming the internal expert for a major framework (e.g., TCFD or CSRD).
    • Process Design Designing and implementing new data collection and validation processes.
    • Advanced Data Visualisation Building new, insightful dashboards from scratch.
    • External Audit Management (support role) Assisting in managing the relationship with external assurance providers.

  2. ESG Data Analyst

    3-5 years in current role

    Level 3 (Senior IC)

    • Advanced Analytics Using statistical methods to uncover deeper insights from ESG data.
    • Data Modelling Building robust data models for forecasting or scenario analysis (e.g., carbon reduction pathways).
    • Scripting for Automation Using Python or R for advanced data manipulation and automation.
    • Benchmarking & Peer Analysis Conducting detailed analysis of competitor ESG performance.
Working with AI on the job

Working with AI

Where AI is starting to help

Imagine getting through your most tedious tasks in a fraction of the time. AI isn't here to replace you; it's here to make you incredibly efficient, letting you focus on the interesting bits of ESG reporting.

For an ESG Reporting Coordinator, AI can be a game-changer. It helps you tame the mountain of data, spot errors faster, and even get a head start on drafting those dense reports. We're not talking sci-fi here; these are practical tools you can use day-to-day to cut down on the boring stuff.

Automated Data Extraction

Use AI-powered OCR (Optical Character Recognition) to automatically scan hundreds of PDF utility bills, waste invoices, and safety reports. It pulls out key data points like kWh, tonnes of waste, or Lost Time Injury Rate and populates your central data platform. No more manually typing numbers from PDFs!

Anomaly Detection & Analysis

An AI model continuously monitors incoming data streams. It automatically flags significant deviations from historical trends – think a 40% spike in water usage at a single factory. This lets you proactively investigate issues rather than manually reviewing endless spreadsheets, catching errors before they become problems.

Regulatory Summarisation & Benchmarking

Use a large language model (LLM) to quickly ingest and summarise dense new regulatory documents (e.g., a 500-page update to ESRS) into a concise brief of key changes. It can also help you analyse and benchmark competitor reports against specific frameworks, saving you hours of reading.

First-Draft Narrative Generation

Once your data is finalised, use AI to generate a first draft of the report's narrative sections. You provide the data tables, key messages, and maybe last year's text, and it'll write a descriptive summary of performance for the current year. You then edit and refine, saving heaps of initial drafting time.

Common questions

Common questions

How do you become an ESG Reporting Coordinator?

Common routes in include Associate ESG Analyst / Junior Sustainability Specialist (1-2 years), Data Analyst (non-sustainability specific) (2-3 years) and Compliance or Regulatory Reporting Assistant (2-4 years). Times vary with prior experience.

Where can an ESG Reporting Coordinator progress to?

This role can lead on to Senior ESG Reporting Specialist (3-5 years in current role) and ESG Data Analyst (3-5 years in current role), depending on the skills you build.

What new skills matter most for an ESG Reporting Coordinator?

Increasingly, Prompt Engineering & LLM Integration (for reporting) and Advanced Data Governance for Non-Financial Data. These are the skills our record of this role lists as growing.

Free tools

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Three free tools, no account needed. Each one ends with a role, a level and a way in.

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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 learned here transfer to ESG consulting, ESG rating agencies, or data governance and compliance roles in other industries.

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 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.