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

ESG Reporting Assistant

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 Analyst
UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Sustainability Data Analyst · ESG Data Specialist · Sustainability Reporting 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 4 standards

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

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 2 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

Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 1 of 4 standards

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · 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 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

Data Analytics Primer NOCN Level 4 certificate for Data Analysts

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

Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science

The future skills this job leans on

AI Fluency working with AI as a thinking partner

Data Fluency turning numbers into a decision

Sustainability Fluency building care for people and planet into the work

Your Plan Illustration

Built for ESG Reporting Assistant

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

Prepare and issue non-domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 4 standards Level 4
Prepare and issue domestic Green Deal Advice Reports Awarding Body for the Built Environment · covers 2 of 4 standards Level 3
Data Analytics Primer NOCN · covers 2 of 4 standards Level 4
Data Analysis BCS, The Chartered Institute for IT · covers 1 of 4 standards Level 4
Data Analytics Pearson Education Ltd · covers 1 of 4 standards Level 4
Introduction to Data Science and Big Data NCC Education Limited · 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 an ESG Reporting Assistant?

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

The new skill this role is being asked for

Prompt Engineering for ESG Narrative

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
Sustainability Fluencybuilding care for people and planet into the work

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 Assistant 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

This job involves checking and preparing ESG data so that public reports are accurate and can stand up to scrutiny. It means tracking down details and making sure figures add up before disclosures go out.

4What you'd actually use

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

ESG Platforms (e.g., Workiva, OneTrust ESG, Diligent ESG) Intermediate

Entering data, running pre-built reports, responding to data validation queries within the platform. You'll be following established workflows, not designing them.

MS Excel Advanced

Proficient with VLOOKUP/XLOOKUP, PivotTables, complex formulas, and data cleaning. You'll be building and maintaining data collection spreadsheets, often inheriting messy ones.

Data Visualisation (Power BI, Tableau) Basic

Connecting to clean data sources and creating simple charts/dashboards from templates. You'll interpret and export visuals for presentations, but not building complex models yet.

Collaboration Tools (MS Teams, SharePoint, Asana) Intermediate

Using channels for updates, managing your personal tasks in Asana, and uploading/versioning documents correctly in SharePoint. It's about keeping things organised and accessible.

Research & Ratings Platforms (MSCI ESG Ratings, Sustainalytics) Basic

Navigating these platforms to pull specific company ratings, find benchmark data, and download methodology documents for reference.

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 choice	Coming in	Where you are now	The step above
Data Collection Methodology	Follows established procedures and templates, escalates any deviations.	Chooses the most efficient method for routine data collection within guidelines; proposes improvements to existing methods.	Designs and implements new data collection methodologies for complex or novel data sets; approves changes to existing processes.
Data Validation & Error Resolution	Identifies obvious errors and flags them to supervisor; follows instructions for correction.	Independently investigates and resolves routine data discrepancies; flags complex or systemic issues with proposed solutions.	Defines data validation rules and protocols; leads the resolution of systemic data quality issues across departments.
Report Content Drafting	Populates pre-defined sections with provided data and narrative snippets.	Drafts complete sections of the report based on data and strategic messaging, seeking feedback from senior colleagues.	Leads the drafting of significant report sections, ensuring alignment with strategy and frameworks; provides critical review of junior contributions.
Stakeholder Communication (Internal Data Owners)	Communicates data requests as instructed by supervisor.	Independently communicates data requests, follows up, and clarifies requirements with internal data owners.	Manages relationships with key data owners; negotiates data delivery timelines and resolves conflicts.

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 data points you're responsible for that are free from errors or discrepancies when checked by a senior analyst or auditor.

Target · >99.5% accuracy

If you're responsible for 200 data points in a quarter, you should have no more than one error. Catching that decimal point mistake in the Scope 1 emissions before it hits the draft report is a win.

On-Time Data Submission

The proportion of assigned data collection and preparation tasks completed by their internal deadlines.

Target · 100% on-time delivery

Getting all the Q3 utility bills processed and entered into the platform by the 15th of October, even if it means chasing Operations a few times.

Query Reduction from Reviewers

The decrease in follow-up questions or requests for clarification from senior analysts or auditors regarding your submitted data.

Target · 25% reduction year-on-year

Last year, your senior analyst asked 10 questions about the waste data. This year, they only asked 7 because your audit trail was clearer and the data was better organised.

Quality of Audit Trails & Documentation

How well you document the source, calculation methodology, and validation steps for the data you manage. It's about making it easy for anyone (especially an auditor) to trace a number back to its origin.

Your documentation is consistently clear and complete. You've got a logical folder structure in SharePoint. When an auditor asks 'Where did this number come from?', you can point them to the exact file and calculation without scrambling.

Proactive Data Issue Identification

Your ability to spot unusual data trends, discrepancies, or potential errors before they become bigger problems, and then flagging them to your senior analyst.

You notice that a site's energy consumption has suddenly dropped by 50% compared to last year and immediately question it (turns out, it was a data entry error). You don't just process data
you scrutinise it.

Collaboration with Data Owners

How effectively you work with colleagues in other departments to get the data you need, building good relationships without becoming a nuisance.

Data owners respond promptly to your requests. They see you as helpful and organised, not just someone asking for more work. You're able to explain why you need the data, which helps them understand the importance.

7Would you like it

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

What people enjoy

Solving Puzzles & Organising Chaos

You'll be handed messy spreadsheets, incomplete data, and vague requests. Your daily joy will come from bringing order to that chaos, cleaning it up, and making sense of it all.

Taking three different energy consumption spreadsheets from various sites, standardising them, identifying missing data points, and building a single, clean master file.

Contributing to Meaningful Work

You'll know that the meticulous data entry and validation you do directly supports the company's sustainability goals and public transparency. It's not just admin; it's impactful.

Seeing a graph in the final annual report that uses the emissions data you painstakingly collected and verified, knowing it's helping guide strategic decisions.

Continuous Learning & Growth

The ESG landscape changes constantly, so you'll always be learning about new frameworks, data requirements, and best practices. There's always something new to get your teeth into.

Researching the latest updates to the GRI Standards or understanding how a new EU regulation might impact our data collection needs.

What frustrates people

The Data Scavenger Hunt: Spending 60% of your time chasing down data from various departments, often getting it late or in unusable formats.
The Spreadsheet Nightmare: Inheriting poorly organised or broken Excel files that are crucial for calculations.
Accountability without Authority: Being responsible for data accuracy but having no direct control over the teams who generate the source data.
Constantly Moving Goalposts: Frameworks or regulations updating mid-cycle, meaning you have to re-do work you thought was finished.

What this role does not give you

A quiet, predictable, 'head-down' data entry role—you'll need to be an active communicator.
Direct management of a team or large-scale strategic decision-making (not at this level, anyway).
A role where all your work is glamorous or immediately visible to senior leadership.

8Who you work with

This role is absolutely critical for maintaining the integrity and credibility of our public ESG disclosures. Your work directly impacts our reputation with investors, customers, and regulators. Accurate data means we can make better decisions, track our progress, and demonstrate genuine commitment to sustainability, rather than just talking about it.

Inside the business

Operations (for energy, water, waste data)
Finance (for spend data, financial materiality)
HR (for diversity, equity, and inclusion metrics)
Legal & Compliance (for regulatory input)
Marketing & Communications (for report narrative and external messaging)

Outside the business

External Auditors (for data assurance)
ESG Ratings Agencies (MSCI, Sustainalytics)
Industry Peers (for benchmarking data)

9What you need before you start

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

Proven experience (2-5 years) in a data-intensive role, ideally within sustainability, finance, or audit, where accuracy was paramount.
Demonstrable advanced proficiency in MS Excel, including complex formulas, PivotTables, and data cleaning techniques.
A solid understanding of at least one major sustainability reporting framework (e.g., GRI or SASB) and how to apply it.
Experience in collecting and validating data from multiple sources, often involving chasing different departments.
Excellent written and verbal communication skills, especially when explaining data requirements or discrepancies.

10What to practise next

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

Advanced Data Transformation (Power Query)

As data volumes grow and come from more disparate sources, manual cleaning in Excel becomes unsustainable. Power Query is becoming essential for efficient, repeatable data preparation.

M Language Basics · Connecting to Diverse Sources · Automated Refresh

This quarter: Take an online course on Power Query for Excel.
Next quarter: Rebuild one of your existing manual data cleaning processes using Power Query.
Month 6: Document your Power Query processes and share them with the team.
Month 9: Start exploring how Power Query can feed into Power BI for more dynamic dashboards.

Quick win: Find one repetitive data cleaning task you do weekly in Excel and try to automate the first three steps using Power Query. YouTube is your friend here.

Basic Data Visualisation Storytelling

It's not enough to just make charts; you need to tell a compelling story with your data. Leadership wants insights, not just numbers.

Choosing the Right Chart Type · Dashboard Design Principles · Narrative Overlay

This month: Analyse 3-4 good and bad examples of ESG data visualisations online.
Next month: Take a basic Power BI or Tableau course focusing on dashboard creation.
Month 3: Redesign one of our existing internal data visualisations to be more impactful.
Month 4: Present a small data story to your team, focusing on clarity and insight.

Quick win: For your next internal presentation, try to limit each slide to one key visual and a single, clear takeaway message. Less is often more.

11Staying current once you are in

What people here do to keep up

Attending webinars and online courses on new ESG reporting frameworks (like CSRD) as they emerge.
Joining industry groups or forums focused on sustainability reporting to share best practices and learn from peers.
Taking advanced Excel courses, particularly on Power Query and data modelling, to boost your efficiency.
Engaging with our internal learning platform for soft skills development, especially in communication and stakeholder management.

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 Narrative

Competitors are already using Large Language Models (LLMs) to draft sections of their ESG reports in minutes, not hours. Analysts who can effectively 'prompt' these tools will outproduce peers significantly.

Context Windows & Token Limits
Temperature Settings
Output Validation & Hallucination Detection
Prompt Chaining

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Sustainability Reporting Frameworks (GRI, SASB, TCFD)
Materiality Assessment (Understanding Inputs)
GHG Accounting (Scope 1 & 2, basic Scope 3)
Data Assurance & Verification (Preparation)
ESG Ratings Analysis (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
ESG Reporting Associate (Level 001)
1-2 years
Skills to master
- Mastering basic data entry, performing initial data quality checks, understanding our internal data collection processes, and following instructions meticulously.
You're ready to move on when
- Consistently delivers accurate data with minimal supervision.
- Proactively identifies minor data discrepancies.
- Shows a strong grasp of basic ESG terminology and our reporting cycle.
2
Junior Data Analyst (from Finance/Operations)
2-3 years
Skills to master
- Transferring strong Excel and data validation skills to ESG-specific datasets, learning sustainability frameworks, and understanding the 'why' behind ESG data requests.
You're ready to move on when
- Can demonstrate advanced Excel proficiency and data manipulation skills.
- Shows a keen interest in sustainability and a willingness to learn new domain knowledge quickly.
- Proves ability to work with diverse data sources and stakeholders.
3
Graduate from a Sustainability-focused Master's Programme
Direct entry (with relevant thesis/internship)
Skills to master
- Applying theoretical knowledge of ESG frameworks to practical data collection and reporting challenges, developing strong organisational skills for real-world data.
You're ready to move on when
- Strong academic background in sustainability or a related field.
- Demonstrated project experience involving data analysis and reporting.
- Excellent communication skills and a proactive attitude.

15Where this role leads

The long view: This work can lead to managing an ESG reporting team, moving into a senior sustainability strategy role, or specialising as a technical expert in ESG 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 Assistant 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 non-domestic Green Deal Advice Reports, worked against ESG Reporting Assistant.

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

Applied to your work in ESG Reporting Assistant

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 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.

See Your Progress Grow Illustration

ESG Reporting Assistant

Sustainability Reporting Frameworks (GRI, SASB, TCFD)
Materiality Assessment (Understanding Inputs)
GHG Accounting (Scope 1 & 2, basic Scope 3)
Data Assurance & Verification (Preparation)
ESG Ratings Analysis (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 Assistant is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Senior ESG Reporting Analyst (Level 003)
3-5 years in current role

You'll move from owning specific data streams to leading entire reporting workstreams, improving processes, and mentoring junior colleagues. You'll also take on more complex data analysis.
- Designing and implementing new data collection processes
- Deep-dive analysis of ESG data trends and insights
- Leading the preparation for third-party assurance engagements
- Influencing internal data owners for process improvements

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, ESG reporting can involve a lot of repetitive, manual tasks. But imagine if you could cut down on the drudgery and spend more time on the interesting stuff—like actual analysis and strategy. That's where AI comes in.

We're building an AI-first culture here, and for an ESG Reporting Assistant, that means using smart tools to handle the grunt work. Think of AI as your super-efficient, tireless assistant, freeing you up to focus on the critical thinking, validation, and relationship-building that truly moves the needle.

Automated Data Extraction

Use AI tools with Optical Character Recognition (OCR) to automatically scan and extract utility consumption data (kWh, therms, gallons) from hundreds of PDF invoices. It'll populate a central database and even flag anomalies for you, saving you hours of manual entry.

Materiality Trend Analysis

While a Lead will define the strategy, you can use AI to quickly summarise competitor reports and investor calls. This helps you understand emerging ESG topics and predict shifts in stakeholder priorities faster, giving you a head start on data collection for new areas.

Regulatory Summariser

Got a new 300-page regulatory standard (like from EFRAG) to get your head around? Use an AI assistant to ingest it and generate a concise summary of key changes, new disclosure requirements, and direct comparisons to existing frameworks. It's a massive time-saver for understanding complex rules.

First-Draft Narrative Generator

Provide an AI writing tool with key data points, trends, and strategic messages for a specific section (e.g., Diversity & Inclusion). It can generate a coherent, well-structured first draft of the report narrative for you to refine. You'll still need to check it, of course, but it beats staring at a blank page.

Common questions

How do you become an ESG Reporting Assistant?

Common routes in include ESG Reporting Associate (1-2 years), Junior Data Analyst (from Finance/Operations) (2-3 years) and Graduate from a Sustainability-focused Master's Programme (Direct entry (with relevant thesis/internship)). Times vary with prior experience.

Where can an ESG Reporting Assistant progress to?

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

What new skills matter most for an ESG Reporting Assistant?

Increasingly, Prompt Engineering for ESG Narrative. 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.

ESG Reporting Assistant

Where should we send it?

Two short quizzes about you

Will AI change your work as an ESG Reporting Assistant?

What's rising in its place

Prompt Engineering for ESG Narrative

Skills this role draws on

Technical

How you actually get there, here

ESG Reporting Associate (Level 001)

Junior Data Analyst (from Finance/Operations)

Graduate from a Sustainability-focused Master's Programme

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

Everything else the record holds

The career path, and where it branches

Senior ESG Reporting Analyst (Level 003)

Where AI is starting to help

Automated Data Extraction

Materiality Trend Analysis

Regulatory Summariser

First-Draft Narrative Generator

Common questions

Want a read on where you stand?