UK

United Kingdom · Learning and Development · Entry Level (0-2 years)

Learning Evaluation Associate

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

  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toLearning Evaluation Specialist or Senior Learning Evaluation Specialist
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Learning Analyst · L&D Data Assistant · Training Impact Support

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

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1What this role really is

This isn't a job where you'll be leading big strategic projects from day one. Honestly, you'll be the backbone, the person who makes sure the numbers add up and the data's clean. You're here to learn the ropes, get stuck into the nitty-gritty of learning data, and support our more senior evaluation folks. Think of it as your apprenticeship in understanding how we figure out if our training actually works. You'll be working with real data, helping us understand what's happening in our learning programmes, and making sure our reports are spot on. It's a foundational role, crucial for keeping our L&D team honest about its impact.

2What you'd actually use

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

Workday Learning / Cornerstone OnDemand (LMS)Intermediate

Running and exporting standard reports on course completions, participant lists, and basic engagement metrics.

SurveyMonkey / Microsoft FormsIntermediate

Building and deploying Level 1 feedback surveys using existing templates, and extracting response data.

Microsoft ExcelIntermediate

Using VLOOKUP, PivotTables, basic formulas, and conditional formatting for data cleaning, manipulation, and simple charting.

Tableau / Power BIBasic

Navigating existing dashboards, understanding how to filter data, and refreshing data sources as instructed.

Workday HCM / SAP SuccessFactors (HRIS)Basic

Understanding how to request basic employee demographic data (e.g., department, tenure) for learning reports.

3What 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 inWhere you are nowThe step above
Data Extraction MethodFollows pre-defined steps; escalates if data is missing or system behaviour is unexpected.Chooses the most efficient extraction method for routine requests; consults on complex or novel data needs.Designs new data extraction processes; troubleshoots complex API issues; defines data governance for extraction.
Data Cleaning ApproachApplies established cleaning rules and templates; escalates any ambiguous data points.Adapts cleaning rules for minor variations; proposes improvements to existing cleaning scripts.Develops and standardises data cleaning protocols; automates cleaning processes; makes decisions on data imputation strategies.
Report Content & FormatPopulates existing report templates with new data; flags any data anomalies for review.Selects appropriate charts and metrics for routine reports; makes recommendations for minor report enhancements.Designs new report templates and dashboards; defines key metrics for specific programmes; makes strategic recommendations based on report findings.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Data Pull Accuracy
The percentage of data exports and reports you generate that are free from errors or omissions.
Target · 98%+ accuracy

If you pull a list of 100 course completions, and two are missing or incorrect, that's 98% accuracy. We're aiming for near perfection here, especially on routine tasks.

Standard Report Turnaround Time
How quickly you can deliver routine, pre-defined reports once they're requested.
Target · Within 24-48 hours for standard requests

An L&D Manager asks for the completion rates for the 'New Starter Induction' programme. You should be able to get that to them within two working days, usually much faster.

Level 1 Survey Response Rate
The average percentage of participants who complete the basic 'smile sheet' surveys you deploy after a training session.
Target · >50% response rate

If 100 people attend a course and you send out a feedback survey, we'd expect at least 50 of them to fill it in. You'll learn tricks to help boost this.

Data Integrity & Cleaning
You're the first line of defence against bad data. This means you spot inconsistencies, flag potential issues, and clean data according to our established guidelines.
  • Your manager rarely finds errors in the data you've prepared
  • you proactively ask questions when data looks 'off'
  • you consistently document your cleaning steps.
Learning & Application of New Tools/Methods
How quickly and effectively you pick up new software, data extraction methods, or evaluation concepts.
  • You ask thoughtful questions during training
  • you can independently complete tasks after initial guidance
  • you start suggesting small improvements to processes you've learned.
Proactive Support & Team Contribution
You don't just wait for tasks to be assigned; you look for ways to help your senior colleagues and contribute to the team's overall efficiency.
  • You offer to help with routine tasks when your manager is swamped
  • you keep shared documentation updated without being asked
  • you flag potential issues before they become problems.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Learning & Skill Development

You'll be excited to learn new Excel functions, understand how to navigate different LMS systems, and get your head around basic evaluation models. Every day offers a chance to pick up a new trick.

You're keen to try out a new feature in SurveyMonkey or figure out a more efficient way to clean a particular dataset in Excel, even if it takes a bit of extra effort.

Contributing to Team Success

You'll feel good knowing that the clean data and accurate reports you provide are directly helping your senior colleagues make better decisions and freeing up their time for more complex work.

When your manager thanks you for spotting an error in a report before it went out, or for delivering a data pull ahead of schedule, you'll feel a genuine sense of accomplishment.

Seeing Data Come to Life

You're fascinated by how raw numbers can tell a story. You'll enjoy seeing how your cleaned data contributes to a dashboard or a presentation that helps explain a learning programme's impact.

You'll be genuinely interested when your manager shows you how the data you helped prepare was used to decide to update a training course, or to offer more support in a particular area.

What frustrates people
  • Spending hours cleaning messy data from a clunky LMS, only for a new export to be just as bad (or worse).
  • Being asked for 'just a quick report' that actually takes half a day to compile because the data isn't easily accessible.
  • Feeling like your work is purely administrative, without seeing the bigger picture or the impact of your efforts.
  • Stakeholders changing their minds about what data they need after you've already spent time preparing it.
What this role does not give you
  • High-level strategic decision-making in L&D.
  • Direct management of people or projects.
  • A constant stream of novel, complex analytical challenges.
  • Complete autonomy over your work or project direction.

6Who you work with

Your main impact is making sure the L&D team has accurate, timely data for their day-to-day decisions. You're the one making sure the foundations of our evaluation work are solid. Get it right, and we can trust the numbers. Get it wrong, and we're just guessing.

Inside the business
  • Learning Evaluation Specialist (your direct manager)
  • L&D Programme Managers (they'll ask for reports)
  • L&D Designers (they'll want to know if their content is landing)
  • HR Business Partners (sometimes they need basic data on team training)

7What you need before you start

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

  • Strong proficiency in Microsoft Excel (VLOOKUP, PivotTables, basic formulas).
  • A keen eye for detail and a methodical approach to tasks.
  • Excellent written and verbal communication skills, especially for explaining data simply.
  • A genuine interest in data and how it can be used to understand human behaviour or programme effectiveness.
  • The ability to follow instructions accurately and work effectively under supervision.

8What to practise next

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

Basic Statistical Concepts

Moving beyond just reporting numbers to understanding what they actually mean. This helps you explain 'why' something happened, not just 'what' happened.

Averages & Medians · Correlation vs. Causation · Sampling

  • This week: Read a basic article on 'correlation vs. causation' and discuss it with your manager.
  • This month: Take an online course on introductory statistics (e.g., Khan Academy, Coursera).
  • Month 2: Try to apply a simple statistical concept (like calculating standard deviation) to a dataset you're working with.
  • Month 3: Present a simple data insight to your team, explaining not just the 'what' but a potential 'why'.

Quick win: Start asking 'What does this number *really* mean?' and 'Could something else be causing this?' whenever you look at data.

9Staying current once you are in

What people here do to keep up
  • Attend internal L&D team meetings to understand programme goals and challenges.
  • Shadow senior Learning Evaluation Specialists to see how they approach complex analysis.
  • Take online courses on data visualisation basics (e.g., how to make a good chart).
  • Participate in internal 'Lunch & Learn' sessions on different L&D topics.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering for Data Preparation

Honestly, AI is getting really good at cleaning and transforming data. Analysts who learn to 'talk' to these tools effectively will be much faster and more efficient. It's about automating the boring bits.

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

Your PlanIllustration

Built for Learning Evaluation Associate

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

  1. Evaluate and improve learning and development provisionGQA Qualifications Limited · covers 4 of 10 standardsLevel 3
  2. Provide learning opportunities for colleaguesNCFE · covers 2 of 10 standardsLevel 3
  3. Identifying Learning and Development NeedsChartered Institute of Personnel and Development · covers 1 of 10 standardsLevel 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.

The rising capability

Zavmo analysis

What's rising in its place

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

Prompt Engineering for Data Preparation

Honestly, AI is getting really good at cleaning and transforming data. Analysts who learn to 'talk' to these tools effectively will be much faster and more efficient. It's about automating the boring bits.

  • Clear Instructions (Prompts)
  • Context & Examples
  • Output Validation

What you’ll use

Skills this role draws on

Technical

  • Kirkpatrick Model of Evaluation (Levels 1 & 2)
  • Basic Survey Design Principles
  • Data Cleaning & Formatting
  • Basic Data Interpretation

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

    L&D Administrator / Coordinator

    1-2 years

    Skills to master

    • LMS administration, basic reporting, managing training logistics, understanding L&D processes.

    You're ready to move on when

    • Consistently accurate in managing L&D data and reports.
    • Proactively identifies opportunities for data improvement.
    • Shows a keen interest in understanding the 'why' behind training effectiveness.
  2. 2

    Data Entry Clerk / Administrative Assistant (with data focus)

    1-2 years

    Skills to master

    • Data accuracy, Excel proficiency, attention to detail, managing large datasets.

    You're ready to move on when

    • Demonstrates exceptional accuracy and organisation with data.
    • Can efficiently clean and format data for various uses.
    • Expresses a desire to move beyond data entry into analysis.
  3. 3

    University Graduate (relevant degree)

    0-1 year

    Skills to master

    • Applying academic knowledge to real-world data, understanding business context, learning organisational tools and processes.

    You're ready to move on when

    • Strong academic record in quantitative subjects.
    • Completed internships or projects involving data analysis.
    • Eager to learn and contribute in a professional setting.

11Where this role leads

The long view:Your journey starts here, but where it goes is really up to you. We're committed to providing the opportunities and support for you to build a truly impactful career in learning evaluation, whether that's as a deep technical expert or a future leader.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

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 Learning Evaluation Associate is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Evaluate and improve learning and development provisionLevel 3

Applied to your work in Learning Evaluation Associate

This unit aims to provide learners with an understanding of the contexts, methods, and processes involved in evaluating and improving learning and development provision. Learners will be able to evaluate learning and development provision in accordance with organisational requirements and quality standards, and implement improvements while ensuring regulatory compliance.

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.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Learning Evaluation Associate

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Data Pull AccuracyThe percentage of data exports and reports you generate that are free from errors or omissions.If you pull a list of 100 course completions, and two are missing or incorrect, that's 98% accuracy. We're aiming for near perfection here, especially on routine tasks.98%+ accuracy
  • Standard Report Turnaround TimeHow quickly you can deliver routine, pre-defined reports once they're requested.An L&D Manager asks for the completion rates for the 'New Starter Induction' programme. You should be able to get that to them within two working days, usually much faster.Within 24-48 hours for standard requests
  • Level 1 Survey Response RateThe average percentage of participants who complete the basic 'smile sheet' surveys you deploy after a training session.If 100 people attend a course and you send out a feedback survey, we'd expect at least 50 of them to fill it in. You'll learn tricks to help boost this.>50% response rate
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Learning Evaluation Associate to Learning Evaluation Specialist (Level 2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Learning Evaluation Specialist (Level 2)→ your design
Where this takes you

Your journey starts here, but where it goes is really up to you. We're committed to providing the opportunities and support for you to build a truly impactful career in learning evaluation, whether that's as a deep technical expert or a future leader.

See Your Progress GrowIllustration
Learning Evaluation Associate
  • Kirkpatrick Model of Evaluation (Levels 1 & 2)
  • Basic Survey Design Principles
  • Data Cleaning & Formatting
  • Basic Data Interpretation
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.

14The 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

Learning Evaluation Associate is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Learning Evaluation Specialist (Level 2)

    2-3 years

    You'll move from supporting tasks to owning the end-to-end evaluation of individual learning programmes. You'll design measurement plans, build more complex surveys, and present findings directly to L&D programme managers.

    • Kirkpatrick Model (all 4 levels): Designing measurement for behaviour and results.
    • Advanced Survey Design: Crafting more sophisticated questions and survey logic.
    • Data Visualisation (dashboard building): Creating new, interactive dashboards in Tableau/Power BI.
    • Basic Statistical Analysis: Running simple tests (e.g., t-tests) in Excel or a statistical package.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, some parts of data work are a bit repetitive. But what if you could offload some of that grunt work to AI? We're not talking about replacing you, but about giving you superpowers. Imagine spending less time wrestling with spreadsheets and more time actually learning and understanding the data.

In this role, AI isn't some far-off future tech; it's a practical assistant you can use every single day. We're building an internal AI Productivity Hub to help everyone, and as a Learning Evaluation Associate, you'll be one of the first to feel the benefits, especially with those routine, time-consuming tasks.

Automated Data Janitor

Use AI-powered scripts (think simple Python with a bit of help from AI) to automatically clean inconsistencies in your exported LMS data, merge different datasets, and flag potential anomalies. It's like having a super-fast assistant for the most tedious parts of your job.

Survey Question Generator

Struggling to phrase a Level 1 survey question perfectly? Feed your topic and desired outcome into a generative AI, and it'll give you several options for clear, unbiased questions. A great starting point, saving you time and ensuring quality.

Instant Lit Review Assistant

When you're trying to understand a new evaluation model or a statistical concept, use an AI research assistant to summarise academic papers or industry articles. It'll give you the key takeaways in minutes, helping you learn faster.

Basic Report Drafter

After you've got your clean data and a few key findings, feed them into a generative AI to get a first draft of an executive summary or a bulleted list for a basic report. You'll then refine it, but the blank page won't be staring back at you for long.

Common questions

Common questions

How do you become a Learning Evaluation Associate?

Common routes in include L&D Administrator / Coordinator (1-2 years), Data Entry Clerk / Administrative Assistant (with data focus) (1-2 years) and University Graduate (relevant degree) (0-1 year). Times vary with prior experience.

Where can a Learning Evaluation Associate progress to?

This role can lead on to Learning Evaluation Specialist (Level 2) (2-3 years), depending on the skills you build.

What level is a Learning Evaluation Associate in the UK?

This role aligns to RQF Level 2 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Learning Evaluation Associate?

Increasingly, Prompt Engineering for Data Preparation. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Learning Evaluation Associate, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 10 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Learning Evaluation Associate: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where 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.

Other roles in Learning and Development

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll gain here—data analysis, reporting, understanding human performance metrics, and communicating insights—are highly transferable. You could easily move into broader HR Analytics, Business Intelligence, or even specific roles in market research or customer insights in other sectors.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth 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. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. 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.