UK

United Kingdom · Learning and development · Mid-Level (2-5 years)

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

Also advertised as Learning & Development Analyst · People Analytics Specialist · L&D Impact Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 5 of 8 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 3 of 8 standards
BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 2 of 8 standards
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 2 of 8 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 8 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 8 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
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Your Plan Illustration

Built for Organisational Performance Analyst

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

  1. Data Analytics Primer NOCN · covers 5 of 8 standards Level 4
  2. Data Analytics Pearson Education Ltd · covers 4 of 8 standards Level 5
  3. Data Analysis BCS, The Chartered Institute for IT · covers 2 of 8 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 Organisational Performance 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 for Data Analysis
  • Basic Data Storytelling & Narrative Crafting
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 Organisational Performance Analyst plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

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3What this role really is

This job checks whether learning programmes actually change how a business performs. You dig into the data and connect what people learn to measurable results, rather than relying on feedback forms alone.

4What you'd actually use

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

SQL (PostgreSQL) Intermediate

Writing basic to intermediate SQL queries (JOINs, WHERE, GROUP BY) to extract specific datasets from our HRIS or LMS for analysis. You'll be comfortable navigating our databases.

Excel (Power Query, advanced formulas) Expert

You'll be a wizard with Excel, using Power Query for ETL tasks (cleaning and transforming messy data), and advanced formulas (VLOOKUP, INDEX/MATCH, SUMIFS, PivotTables) for robust analysis and modelling.

Tableau / Power BI Intermediate

Building and maintaining standard dashboards from clean data sources. You'll be able to answer ad-hoc questions by manipulating existing models and creating new visualisations.

Workday HCM / SAP SuccessFactors / Oracle HCM (one of these) Basic

Navigating the system to pull standard reports on performance ratings, promotions, turnover, and skills data. You'll know where to find the raw people data.

Degreed / Cornerstone OnDemand / Docebo / 360Learning (one of these) Intermediate

Extracting data (completions, engagement, scores) via built-in reporting and APIs from our learning platforms. You'll also help manage data integrity within the platform.

Qualtrics / Culture Amp / Glint (one of these) Intermediate

Building and deploying surveys (e.g., post-training feedback, manager observation forms). You'll also export and perform basic analysis on the results.

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 Extraction & Cleaning Methodology Follows established procedures, asks for guidance on complex data merges. Independently chooses the most efficient SQL queries or Power Query steps for routine data tasks. Consults on novel data sources. Designs and optimises data extraction pipelines. Defines best practices for data cleaning and transformation across the team.
Dashboard Design & Updates Updates existing dashboards with new data following templates. Needs review for any layout changes. Takes ownership of specific dashboards, making minor design tweaks for clarity. Proposes new visualisations. Needs review for major structural changes. Designs new, complex dashboards from scratch based on business requirements. Governs dashboard standards and ensures data integrity across all reports.
Impact Study Scope & Methodology Executes defined analysis steps for specific programmes. All methodology decisions made by supervisor. Proposes appropriate analytical methods (e.g., pre/post, basic correlation) for individual programmes. Consults Senior Specialist on complex statistical approaches. Designs comprehensive measurement strategies for new, complex programmes. Recommends advanced statistical techniques and experimental designs.
Tool & Vendor Selection Uses existing tools. No input on selection. Researches and proposes new features within existing tools. Provides feedback on potential new tools but doesn't make selection decisions. Evaluates new tools and vendors for specific analytical needs. Contributes to business cases for new platform investments (e.g., a new survey tool).

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.

Impact Study Completion Rate
The percentage of assigned learning programme impact studies completed on time.
Target · 90% of assigned studies completed within agreed timelines

If you're assigned 4 impact studies in a quarter, you'd aim to finish at least 3.6 of them on schedule. Missing a deadline for a critical sales training impact study would be a red flag.

Data Accuracy & Integrity
The reliability of the data used in your analysis, measured by errors found during peer review or stakeholder challenge.
Target · Fewer than 2 minor data errors per quarter (e.g., incorrect filter, mislabelled column)

Catching a formula error that would have understated a programme's impact by 15% before it goes to a business leader. On the flip side, if a stakeholder points out that your report is missing data from a whole department, that's a miss.

Dashboard & Report Maintenance
Timeliness and accuracy of updates to existing L&D performance dashboards and recurring reports.
Target · All scheduled dashboard refreshes and recurring reports delivered on time, with zero errors

Ensuring the Q3 Learning Engagement Dashboard is updated by the 5th working day of October, showing the correct completion rates and engagement scores for all programmes. Operations relies on this for their quarterly reviews.

Query & Request Turnaround Time
Average time taken to respond to and complete ad-hoc data requests from L&D Programme Managers or HRBPs.
Target · Average 2-day turnaround for standard requests; 5-day for complex ones

A Programme Manager asks for a list of all participants who completed the 'Leadership Essentials' course in the last 6 months. You get them the accurate data within 24 hours. A request for a correlation analysis might take longer, say 3-4 days.

Stakeholder Trust & Reliability
How much L&D Programme Managers and HR Business Partners trust your data and insights, and see you as a reliable partner.
  • They'll come to you proactively for data before starting a new programme. They'll ask for your opinion on how to measure success. They won't double-check your numbers with your manager. They'll generally just know your work is solid.
Proactive Issue Identification
Your ability to spot potential data problems or performance trends before they become bigger issues, and bring them to your manager's attention.
  • You flag an unusual drop in completion rates for a critical compliance course, or notice a data discrepancy between the LMS and HRIS, and raise it with your Senior Specialist before they even ask. It's about spotting the weird stuff.
Clarity of Communication
How well you explain complex data findings to non-technical audiences, making sure they understand the 'so what' for the business.
  • When you present your findings, people in the room actually understand what you're saying and can act on it. They don't ask you to 'explain that chart again' three times. You use simple language, not jargon, and focus on the business implications.
Informal Mentorship & Support
The extent to which you help new or junior team members get up to speed with our systems and processes.
  • New joiners naturally come to you with questions about how to pull a specific report or where to find certain data. You'll offer tips and tricks without being asked, helping them get unstuck, which means they're productive faster.

7Would you like it

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

What people enjoy
Solving Puzzles with Data

You love diving into messy datasets, cleaning them up, and finding the hidden patterns that explain why something is or isn't working. It's like being a detective, but with spreadsheets and dashboards.

Spending an afternoon figuring out why completion rates for a mandatory course suddenly dropped, only to discover a bug in the LMS reporting, and then fixing it.

Making a Tangible Business Impact

You get a real kick out of seeing your analysis lead to a change in how we do things – whether it's tweaking a training programme or stopping an ineffective one. You want your work to matter.

Presenting data that shows a specific sales training improved conversion rates, leading the sales leadership to roll it out company-wide.

Continuous Learning & Improvement

You're always looking for better ways to measure things, new tools to use, or different statistical approaches. You enjoy learning new techniques and applying them to your work.

Experimenting with a new visualisation technique in Tableau to make a complex dataset easier for stakeholders to understand, or learning a new SQL function to extract data more efficiently.

What frustrates people
  • The 'Butts in Seats' Obsession: Constantly battling stakeholders who think success is just about how many people completed a course, not what they actually learned or applied.
  • Data Janitor Work: Spending half your week cleaning, merging, and validating data from systems that don't talk to each other – it's often messy, tedious, but absolutely necessary.
  • The Silver Bullet Request: Being asked to create a training programme to fix a deep-seated cultural issue, a broken process, or simply bad management, when you know training isn't the real answer.
  • The Attribution Nightmare: Trying to prove that your programme caused a 10% improvement in a metric, when a dozen other things happened that quarter (like a new market campaign or a competitor going bust). It's a constant uphill battle.
  • Political Pressure for 'Good News': Sometimes, you'll feel subtle pressure to find a positive correlation, even when the data is inconclusive, just to justify the L&D budget. It's a tightrope walk.
What this role does not give you
  • A perfectly clean, ready-to-analyse dataset every day.
  • Guaranteed implementation of every insight you uncover.
  • A quiet, predictable routine with no urgent, last-minute requests.
  • Direct people management responsibilities (at this level).

8Who you work with

You'll directly influence how we design, deliver, and fund learning programmes. Your work helps us ensure that every pound we spend on L&D is actually making our people better at their jobs and helping the business hit its targets. Get it right, and we build a more capable workforce; get it wrong, and we waste resources on ineffective training.

Inside the business
  • L&D Programme Managers
  • HR Business Partners
  • Talent Acquisition Team
  • Operations Leaders (e.g., Sales, Customer Service)
  • Finance Business Partners
Outside the business
  • LMS/LXP Vendors (for data extraction support)
  • Survey Platform Vendors (for reporting insights)

9What you need before you start

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

  • A minimum of 2 years of experience in a data analysis role, ideally within HR, L&D, or a related people function.
  • Proven ability to write and optimise SQL queries for data extraction and manipulation.
  • Demonstrable expert-level proficiency in Excel, including Power Query, advanced formulas, and pivot tables.
  • Experience building and maintaining dashboards in Tableau or Power BI.
  • A track record of translating data into clear, actionable insights for non-technical audiences.

10What to practise next

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

Advanced SQL & Data Warehousing Concepts

As our data ecosystem grows, you'll need to move beyond basic queries. Understanding how data is structured in a data warehouse and writing more efficient, complex queries will be crucial for accessing and transforming large datasets.

Window Functions · Common Table Expressions (CTEs) · Data Marts & Star Schemas · Indexing & Query Optimisation

  • This week: Identify one recurring, slow-running query you use and research ways to optimise it.
  • This month: Complete an online course on advanced SQL, focusing on window functions and CTEs.
  • Month 2: Work with your Senior Specialist to understand the underlying data architecture of our key systems.
  • Month 3: Propose a more efficient way to extract a complex dataset that currently takes too long.

Quick win: Start using CTEs in your SQL queries for better readability, even for simpler tasks. It's a good habit to build.

Basic Statistical Modelling & Experiment Design

Moving beyond simple correlations, you'll start to design more rigorous ways to prove cause-and-effect. This means understanding control groups, basic A/B testing principles, and how to account for confounding variables.

A/B Testing Principles · Control Groups · Confounding Variables · Statistical Significance (Basic)

  • This week: Read up on the basics of A/B testing and experimental design.
  • This month: Discuss with your Senior Specialist how we could design a more robust impact study for an upcoming programme.
  • Month 2: Take an introductory course on statistics for data analysis (focus on practical application, not just theory).
  • Month 3: Propose an experimental design for a new pilot programme, outlining how we'd measure its unique impact.

Quick win: For your next impact study, explicitly identify potential confounding variables and discuss with your manager how they might influence your findings.

11Staying current once you are in

What people here do to keep up
  • Actively participate in online data analytics communities or forums (e.g., Kaggle, Stack Overflow) to keep your skills sharp.
  • Attend webinars or virtual conferences focused on people analytics or L&D measurement.
  • Read industry blogs and publications to stay up-to-date on emerging trends and best practices in data storytelling and impact measurement.
  • Seek out opportunities to present your analysis to different internal teams to hone your communication skills.

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 Data Analysis

AI is already changing how we interact with data. Analysts who can effectively 'talk' to large language models (LLMs) to generate code, summarise findings, or even draft initial reports will be significantly more productive. It's about getting the AI to do what you want, quickly.

  • Context Windows & Token Limits
  • Temperature Settings
  • Output Validation
  • Prompt Chaining

Basic Data Storytelling & Narrative Crafting

With more data and more tools, the ability to simply present numbers isn't enough. You'll need to weave those numbers into a compelling story that resonates with senior leaders and drives action. It's about influencing, not just informing.

  • Audience-Centric Communication
  • The 'So What?' Factor
  • Visual Hierarchy
  • Call to Action

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Kirkpatrick/Phillips Models of Evaluation
  • Learning Transfer Analysis
  • Capability Framework Design & Auditing (Basic)
  • Quantitative Impact Analysis (Foundational)
  • Business Acumen & KPI Decomposition (Basic)

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

    Junior Data Analyst / Reporting Specialist

    2-3 years

    Skills to master

    • SQL querying, Excel modelling, basic dashboarding (Tableau/Power BI), data cleaning and validation, understanding of reporting cycles.

    You're ready to move on when

    • Consistently delivers accurate reports on time with minimal supervision.
    • Can independently troubleshoot minor data issues.
    • Has started to proactively suggest improvements to reporting processes.
    • Demonstrates curiosity about the 'why' behind the numbers.
  2. 2

    HR Systems Specialist (with a data focus)

    3-4 years

    Skills to master

    • Deep knowledge of HRIS data structures (e.g., Workday, SuccessFactors), custom report building within HR systems, understanding of HR processes, data privacy regulations.

    You're ready to move on when

    • Expert at extracting and manipulating HR data from core systems.
    • Can explain the nuances of HR data fields and their implications.
    • Has built complex custom reports for HR stakeholders.
    • Understands the importance of data integrity in HR systems.
  3. 3

    Learning Operations Coordinator (with an analytics bent)

    3-5 years

    Skills to master

    • LMS administration and reporting, understanding of learning programme lifecycles, basic data extraction from learning platforms, managing participant data.

    You're ready to move on when

    • Mastered data extraction and reporting from an LMS/LXP.
    • Can identify common data challenges in learning platforms.
    • Has a good grasp of how learning programmes are designed and delivered.
    • Shows initiative in trying to measure programme effectiveness beyond completions.

15Where this role leads

The long view: This work can lead to a consultancy role solving wider performance problems, or a management role running an analytics team.

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 Organisational Performance Analyst 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 Data Analytics Primer, worked against Organisational Performance Analyst.

Data Analytics Primer Level 4

Applied to your work in Organisational Performance Analyst

This unit aims to equip learners with a foundational understanding of data analytics, including its applications and the stages of the data analysis lifecycle. Learners will explore various data types and structures, understand the role of data within an organisation, and recognise the importance of GDPR and compliance requirements in data handling.

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.

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See Your Progress Grow Illustration
Organisational Performance Analyst
  • Kirkpatrick/Phillips Models of Evaluation
  • Learning Transfer Analysis
  • Capability Framework Design & Auditing (Basic)
  • Quantitative Impact Analysis (Foundational)
  • Business Acumen & KPI Decomposition (Basic)
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

Organisational Performance Analyst is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Organisational Performance Specialist (L3)

    3-5 years in this role

    You'll move from owning individual impact studies to leading complex, cross-functional measurement strategies for larger programmes. You'll also start mentoring junior analysts.

    • Performance Consulting Diagnosing root causes of performance gaps, recommending holistic solutions (not just training).
    • Advanced Quantitative Impact Analysis Using more rigorous statistical methods (e.g., regression, quasi-experimental designs) to isolate impact.
    • Measurement Strategy Design Designing comprehensive measurement plans for new, complex learning initiatives.
    • Advanced BI Development Designing and governing complex, interactive dashboards that serve multiple stakeholder groups.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of an Organisational Performance Analyst's time can be spent on repetitive tasks. Good news: AI isn't here to replace you, it's here to make you incredibly more productive. Imagine cutting down on the tedious stuff and focusing on the really interesting analytical challenges.

We're actively exploring and integrating AI tools to help our L&D Performance team work smarter, not harder. You'll be encouraged to experiment with these tools, find what works, and share your discoveries. Think of AI as your personal, super-fast assistant for the grunt work.

Automated Data Harmoniser

Imagine AI-powered tools that automatically pull, clean, and merge data from our LMS, HRIS, and CRM into one tidy, analytics-ready database. No more manual CSV exports and endless VLOOKUPs. This means you spend less time being a data janitor and more time actually analysing.

Qualitative Insights Engine

Got thousands of open-ended comments from surveys or performance reviews? Feed them into an NLP (Natural Language Processing) model. It'll instantly identify recurring themes, sentiment trends, and specific skill gaps across all that text, saving you hours of manual reading and categorisation.

Instant Lit Review & Benchmarking

Need to quickly understand the latest research on, say, 'effective leadership coaching'? Use a research-focused AI to synthesise academic studies and industry reports. It'll generate an evidence-based summary of best practices in minutes, giving you a head start on your analysis.

Executive Narrative Assistant

Once you've got your key data points and findings (e.g., 'Programme X correlated with a 10% increase in Y'), you can ask a generative AI to draft a compelling, business-focused executive summary and talking points. It's brilliant for getting that first draft out quickly for a non-technical audience.

Common questions

Common questions

How do you become an Organisational Performance Analyst?

Common routes in include Junior Data Analyst / Reporting Specialist (2-3 years), HR Systems Specialist (with a data focus) (3-4 years) and Learning Operations Coordinator (with an analytics bent) (3-5 years). Times vary with prior experience.

Where can an Organisational Performance Analyst progress to?

This role can lead on to Senior Organisational Performance Specialist (3-5 years in this role), depending on the skills you build.

What new skills matter most for an Organisational Performance Analyst?

Increasingly, Prompt Engineering for Data Analysis and Basic Data Storytelling & Narrative Crafting. 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.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

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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 learning and development

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

The skills built here, data analysis, impact measurement, and turning insights into business value, transfer well. They can lead into People Analytics roles in other industries, or into Business Intelligence, HR Operations, or Strategy roles that need strong analytical skills.

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 Organisational Performance Analyst plan, free 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.