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

ESG Ratings Analyst

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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As an ESG Ratings Analyst, a good place to start on Prompt Engineering & LLM Integration (for data summarisation) 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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  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toESG Ratings Specialist
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior ESG Analyst · Sustainability Data Associate · ESG Reporting Assistant

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

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 2 standards
ABBE Level 4 Diploma in Non Domestic Green Deal Advice Awarding Body for the Built Environment · Level 4 · 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 domestic Green Deal Advice Reports ABBE Level 3 Diploma in Domestic Green Deal Advice
Prepare and issue non-domestic Green Deal Advice Reports ABBE Level 4 Diploma in Non 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
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for ESG Ratings Analyst

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

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

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 data summarisation)
  • Data Storytelling (beyond just numbers)
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 Ratings 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.

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 ratings analyst checks sustainability data before it is published, making sure the numbers are accurate. This work sits at the ground level of ESG reporting, checking that the underlying data holds up.

4What you'd actually use

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

Advanced Excel (Power Query, XLOOKUP, Pivot Tables) Intermediate

You'll use Excel daily to clean, consolidate, and perform basic analysis on large datasets. You can build simple charts and tables, and you're comfortable with functions like VLOOKUP (or XLOOKUP), SUMIFS, and Pivot Tables. Power Query for data import and cleaning is a bonus.

ESG Data Platforms (e.g., MSCI ESG Manager, Sustainalytics Platform) Intermediate

You can navigate these platforms, pull standard reports, and input data for submissions. You understand the basic structure and where to find key information. We'll show you the specifics, but a general tech-savviness helps.

Collaboration & Project Management Software (e.g., MS Teams/Slack, Asana/Jira, SharePoint) Intermediate

You'll use these tools constantly for team communication, managing your assigned tasks, and organising files. You're comfortable with chat, task lists, and shared drives.

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 Collection Methodology Follows established procedures and templates; escalates any proposed deviations or new data needs to ESG Ratings Specialist. Proposes minor improvements to existing data collection processes; consults with manager on significant changes. Designs and implements new data collection methodologies for complex ESG topics; seeks manager approval for major resource commitments.
Data Validation & Error Correction Identifies and flags data errors; corrects minor, obvious errors with manager guidance; escalates significant discrepancies. Independently validates data and resolves most common errors; consults manager on complex or ambiguous data issues. Defines data validation rules and processes for the team; makes independent judgements on data quality and remediation strategies.
ESG Framework Interpretation Learns and applies basic framework requirements under supervision; escalates any interpretation questions. Independently interprets standard framework requirements; consults manager on nuanced or novel applications. Provides expert interpretation of complex framework requirements; develops internal guidance for the team.

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 on Verified Data Points
The percentage of data points you're responsible for that are verified as correct and consistent with source documents.
Target · 99.5% accuracy

If you've collected 200 data points for the CDP submission, no more than one can have an error after your checks. Catching that misplaced decimal before it goes to the Specialist counts.

Timeliness of Assigned Data Collection Tasks
How often you complete your specific data gathering and input tasks by the agreed-upon internal deadlines.
Target · 100% on-time completion

You're asked to collect Q1 employee diversity data by 15 April. Delivering it by that date, even if it took a few nudges, means you've hit the target.

Resolution Rate of Data Queries
The percentage of data queries or clarification requests you receive (from your manager or data owners) that you resolve within a set timeframe.
Target · 90% resolution within 48 hours

Your manager asks you to double-check the water consumption figures for Site B. You investigate, find the discrepancy, and report back with the correct number and explanation within two days.

Completion Rate of Internal Training Modules
How consistently you complete assigned training modules on ESG frameworks, data platforms, or internal processes.
Target · 100% completion within specified timelines

Finishing the 'Introduction to SASB Standards' module by the end of your second month, as planned, shows you're committed to learning.

Proactive Data Quality Checks
You don't just collect data; you question it. You spot anomalies, ask 'does this number look right?' and flag potential issues before being asked.
  • Your manager notes that you've highlighted inconsistencies in historical data, or you've identified a new data source that improves accuracy. You're not just a data entry clerk
  • you're a data guardian.
Effective Internal Communication with Data Providers
You manage to get the data you need from busy colleagues, even when it's not their top priority. You're polite but persistent, and you explain the 'why' behind your requests.
  • Feedback from other departments (e.g., HR, Operations) indicating you're easy to work with and clear in your requests. You're getting the data without your manager having to step in constantly.
Understanding of ESG Frameworks
You're quickly grasping the basics of different ESG reporting frameworks and how our company's data fits into them.
  • You can correctly categorise a piece of data according to GRI or SASB standards. You ask insightful questions about why a particular data point is relevant for a specific rating agency.
Contribution to Team Knowledge Base
You help keep our internal documentation up-to-date, making it easier for everyone to find information and understand processes.
  • You've updated a data collection template with clearer instructions, or you've added a helpful FAQ to our SharePoint site based on common questions you've encountered.

7Would you like it

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

What people enjoy
Making a Tangible Impact on Sustainability

You'll feel good knowing that your precise data collection directly contributes to our company's accurate sustainability reporting, which in turn helps us improve our environmental and social performance. You're not just pushing papers; you're helping us be a better, more responsible business.

Seeing our CDP score improve, partly because of the accurate data you helped collect, gives you a real sense of accomplishment.

Learning and Developing Expertise

This role offers a steep learning curve in a rapidly evolving field. If you love soaking up new information about ESG frameworks, data analysis techniques, and how global businesses operate, you'll find plenty to keep you engaged. You'll be constantly building your knowledge base.

You enjoy spending time researching a new regulation like the CSRD, understanding its implications, and then applying that knowledge to a data request.

Order and Accuracy

If you thrive on bringing order to messy data, ensuring everything balances, and knowing that your work is meticulously correct, you'll genuinely enjoy the day-to-day tasks. It's satisfying to turn raw, disparate information into a clean, auditable dataset.

You find satisfaction in reconciling conflicting data points from two different sources and finding the single, correct figure.

What frustrates people
  • Chasing Ghosts: Spending 60% of your time chasing data from 15 different business units who don't understand the request, don't prioritise it, and provide it in inconsistent formats.
  • The Moving Goalposts: A rating agency updates its methodology without warning, meaning data you spent weeks collecting now needs to be re-categorised or re-calculated.
  • The 'Excel as a Database' Problem: Inheriting a reporting process built on a labyrinth of interconnected, fragile spreadsheets, where one broken formula can corrupt the entire submission.
  • Explaining 'Why' to Leadership (or colleagues): Constantly having to justify the importance of accurate ESG data to people who still view it as a 'nice-to-have' rather than a business-critical function.
What this role does not give you
  • Immediate strategic decision-making authority – that comes later, once you've proven your data chops.
  • A quiet, predictable routine – expect urgent data requests and shifting priorities.
  • Complete autonomy from day one – you'll be working under close guidance and with clear instructions.

8Who you work with

Your work directly underpins our company's ESG performance scores and public sustainability disclosures. Accurate data means better ratings, which can mean lower cost of capital and a stronger reputation. Get it wrong, and we face reputational damage and potential investor backlash. It's about building trust, both internally and externally.

Inside the business
  • ESG Ratings Specialist (your direct manager)
  • Data owners in Operations, HR, Finance, and Legal
  • Internal Communications team (for data points in public statements)
Outside the business
  • ESG Rating Agencies (e.g., MSCI, Sustainalytics)
  • Sustainability Reporting Frameworks (e.g., GRI, SASB)
  • External auditors (for data assurance)

9What you need before you start

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

  • A Bachelor's degree (or equivalent experience) in a relevant field like Environmental Science, Business, Finance, Economics, or Data Science.
  • Some prior experience (0-2 years) in a data-heavy role, even if it's not directly in ESG. This could be an internship, a graduate role, or a role focused on reporting or analysis.
  • Demonstrable proficiency in Microsoft Excel – you're past the basics and can handle data manipulation and simple formulas.
  • A genuine interest in sustainability and corporate responsibility; you want to make a difference in this space.
  • The legal right to work in the UK.

10What to practise next

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

Advanced Data Modelling & Automation

Reliance on manual Excel sheets is unsustainable. We need to build more robust, automated systems for data collection, aggregation, and reporting to handle the increasing volume and complexity of ESG data.

Database design principles (understanding how data · Scripting for automation (e.g., Python for data ex · API integration (connecting different data sources · Data governance frameworks (ensuring data quality · Version control for data models (tracking changes

  • This week: Explore online tutorials for Python (pandas library) for basic data manipulation.
  • This month: Try to automate one small, repetitive data cleaning task you currently do manually in Excel using a simple script.
  • Month 2: Learn about the basics of SQL and how databases are structured. Can you query a simple dataset?
  • Month 3: Research different data visualisation tools beyond Excel (e.g., Power BI, Tableau) and try a free trial.

Quick win: Learn one new Excel function (like INDEX/MATCH or OFFSET) each week to improve your data handling efficiency. Explore recording simple macros.

Understanding of Emerging ESG Regulations & Standards

The regulatory landscape for ESG is a moving target. New rules like the EU's Corporate Sustainability Reporting Directive (CSRD) or the SEC Climate Rule are fundamentally changing what and how companies report. You'll need to stay ahead of these changes.

Double Materiality (the core concept of CSRD) · Scope 3 GHG Emissions (the trickiest part of carbo · EU Taxonomy and SFDR (understanding sustainable fi · Taskforce on Nature-related Financial Disclosures · Assurance standards for ESG data (what makes data

  • This week: Read a high-level summary of the CSRD or SEC Climate Rule. What are the headlines?
  • This month: Follow key sustainability news outlets (e.g., GreenBiz, edie.net, ESG Today) to keep up with regulatory developments.
  • Month 2: Identify one specific data point we currently collect that might be impacted by a new regulation. How would we adapt?
  • Month 3: Attend a webinar or online course on a specific emerging framework like TNFD or the EU Taxonomy.

Quick win: Set up Google Alerts for 'CSRD', 'SEC Climate Rule', and 'TNFD' to get daily updates on news and developments. Read one article a day.

11Staying current once you are in

What people here do to keep up
  • Join professional networks like IEMA (Institute of Environmental Management & Assessment) or the UK Sustainable Investment and Finance Association (UKSIF) to connect with peers and stay updated.
  • Attend industry webinars and conferences (many are free!) on ESG reporting, climate change, and sustainable finance.
  • Subscribe to key industry newsletters (e.g., GreenBiz, edie.net, ESG Today) to keep abreast of market trends and regulatory changes.
  • Seek out mentorship from more experienced colleagues within our team or wider organisation.
  • Take online courses on advanced Excel, data visualisation (Power BI/Tableau), or introductory Python for data analysis.

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 data summarisation)

Competitors are already using AI to draft report sections and summarise dense regulatory documents in minutes, not hours. Analysts who figure this out will outproduce peers 3:1. This isn't just for 'tech' roles; it's becoming a core productivity skill.

  • Context windows and token limits (understanding ho
  • Temperature settings for different tasks (e.g., cr
  • Output validation and hallucination detection (kno
  • Basic prompt chaining for complex tasks (breaking
  • Ethical considerations for AI use in reporting (av

Data Storytelling (beyond just numbers)

It's no longer enough to just present numbers. Investors and stakeholders want to understand the 'story' behind the data – what it means, why it's important, and what we're doing about it. Your ability to translate raw data into a compelling narrative will become increasingly valuable.

  • Audience analysis (who are you talking to and what
  • Narrative structure (setting the scene, presenting
  • Visualisation best practices (choosing the right c
  • Contextualisation (explaining why a number is go
  • Connecting data to business strategy (how does thi

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • ESG Reporting Frameworks (GRI, SASB, TCFD basics)
  • Materiality Assessment (foundational understanding)
  • Carbon Accounting (GHG Protocol Scope 1 & 2 basics)
  • Data Collection & Validation Principles

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

    Graduate Programme (Sustainability/Business focus)

    0-1 year

    Skills to master

    • Data collection, basic reporting, understanding corporate structures, professional communication.

    You're ready to move on when

    • Successfully completed all graduate rotations with positive feedback.
    • Demonstrated ability to handle data accurately and meet deadlines.
    • Expressed a clear interest in specialising in ESG data and reporting.
  2. 2

    Data Analyst / Reporting Assistant (non-ESG specific)

    1-2 years

    Skills to master

    • Advanced Excel, data validation, report generation, stakeholder communication (for data requests).

    You're ready to move on when

    • Proven track record of high data accuracy and efficient reporting in a previous role.
    • Strong technical skills in data manipulation and analysis.
    • Completed personal projects or courses showing an interest in sustainability.
  3. 3

    Sustainability Intern / Project Assistant

    6-12 months

    Skills to master

    • Exposure to ESG frameworks, understanding of sustainability challenges, project support, research skills.

    You're ready to move on when

    • Contributed meaningfully to sustainability projects or reports during an internship.
    • Developed a foundational understanding of ESG concepts and terminology.
    • Received strong recommendations from internship supervisors.

15Where this role leads

The long view: This work can lead to senior ESG ratings roles, ESG strategy work, or managing an ESG ratings programme.

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 Ratings 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 ESG Ratings Analyst.

Prepare and issue domestic Green Deal Advice Reports Level 3

Applied to your work in ESG Ratings 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.

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 Ratings Analyst
  • ESG Reporting Frameworks (GRI, SASB, TCFD basics)
  • Materiality Assessment (foundational understanding)
  • Carbon Accounting (GHG Protocol Scope 1 & 2 basics)
  • Data Collection & Validation Principles
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 Ratings Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. ESG Ratings Specialist (Level 2)

    2-3 years in current role

    You'll move from supporting to owning specific rating agency submissions.

    • Deep expertise in 1-2 specific ESG rating methodologies (e.g., CDP, S&P CSA)
    • Ability to identify and propose solutions for data gaps
    • Basic mentoring and guidance for new team members
  2. Sustainability Data Analyst (IC path)

    2-4 years in current role

    This is a specialist path, focusing on deeper data analysis and insights rather than managing submissions.

    • Proficiency in Power BI/Tableau for dashboard creation
    • Introduction to SQL or Python for advanced data manipulation
    • Ability to translate complex data into actionable insights for business units
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of the grunt work in ESG reporting can be a bit of a slog. But here's the good news: AI isn't just for the tech gurus anymore. We're embedding smart tools into our daily workflow to take the pain out of repetitive tasks, so you can focus on the interesting stuff.

For an ESG Ratings Analyst, AI can be a game-changer. Imagine cutting down the time you spend sifting through documents or drafting initial responses. We're not talking about replacing your brain, but giving you a super-powered assistant to handle the tedious bits. This means more time for learning, analysis, and actually understanding the 'why' behind the numbers.

Automated Disclosure Analysis

Use an AI tool to quickly scan and parse thousands of peer company sustainability reports. It'll automatically extract specific data points (e.g., water withdrawal, diversity stats) and flag disclosure gaps against frameworks like GRI or SASB, saving you hours of manual reading.

Insight Acceleration for Raters

Feed all of a rating agency's methodology documents and your company's past submissions into a private AI model. Ask it questions like, 'Based on MSCI's new criteria for biodiversity, what are our three biggest vulnerabilities?' to instantly surface key risks and opportunities without digging through dense PDFs.

Regulatory Change Summariser

Point an AI assistant at new, dense regulatory proposals like the EU's CSRD or SEC Climate Rule. Ask it to 'Summarise the key changes for a manufacturing company and create a checklist of required data points that are new for us.' Get the gist in minutes, not days.

First-Draft Narrative Generation

Provide an AI model with your quantitative data for the year (e.g., emissions, safety incidents, community investment) and last year's narrative. Prompt it to 'Write a 300-word first draft for the 'Environmental Performance' section of our sustainability report, highlighting key improvements and contextualising any negative trends.' It's a starting point, not a final product, but it saves a huge amount of staring at a blank page.

Common questions

Common questions

How do you become an ESG Ratings Analyst?

Common routes in include Graduate Programme (Sustainability/Business focus) (0-1 year), Data Analyst / Reporting Assistant (non-ESG specific) (1-2 years) and Sustainability Intern / Project Assistant (6-12 months). Times vary with prior experience.

Where can an ESG Ratings Analyst progress to?

This role can lead on to ESG Ratings Specialist (2-3 years in current role) and Sustainability Data Analyst (IC path) (2-4 years in current role), depending on the skills you build.

What new skills matter most for an ESG Ratings Analyst?

Increasingly, Prompt Engineering & LLM Integration (for data summarisation) and Data Storytelling (beyond just numbers). These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

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

17Where to go from here

Other roles at Level 2

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 built here transfer to sustainability consulting, ESG-focused investor relations, sustainable finance roles, or data governance work in larger organisations.

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.