UK

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

Marketing 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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One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toSenior Marketing Performance Analyst
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Marketing Analyst · Performance Marketing Assistant · Data Analyst (Marketing)

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

Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 2 of 10 standards
City & Guilds Level 3 Diploma in Digital Marketing City and Guilds of London Institute · Level 3 · covers 2 of 10 standards
Gateway Qualifications Level 2 Certificate in Business Gateway Qualifications Limited · Level 2 · covers 2 of 10 standards
AIM Qualifications Level 2 Diploma in Employability and Development Skills AIM Qualifications · Level 2 · covers 1 of 10 standards
Gateway Qualifications Level 2 Award in Preparing for Self-Employment Gateway Qualifications Limited · Level 2 · covers 1 of 10 standards
OCNLR Level 4 Certificate in Digital Marketing OCN London · Level 4 · covers 2 of 10 standards

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

The units you would start with

Digital Marketing Gateway Qualifications Level 2 Award in Digital Marketing
Digital marketing metrics and analytics City & Guilds Level 3 Diploma in Digital Marketing
Marketing Research AIM Qualifications Level 2 Diploma in Employability and Development Skills
Digital Analytics OCNLR Level 4 Certificate in Digital Marketing

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for Marketing Performance Analyst

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

  1. Digital Marketing Gateway Qualifications Limited · covers 2 of 10 standards Level 2
  2. Digital marketing metrics and analytics City and Guilds of London Institute · covers 2 of 10 standards Level 3
  3. Marketing Research AIM Qualifications · covers 1 of 10 standards Level 2
  4. Digital Analytics OCN London · covers 2 of 10 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 a Marketing Performance Analyst?

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 Data Summarisation
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 Marketing Performance 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.

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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 working with raw marketing data, pulling numbers, checking they add up, and finding out what's happening with campaigns. It means tracking marketing spend and understanding where it goes, often alongside more experienced analysts while building a grounding in marketing measurement.

4What you'd actually use

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

Google Analytics 4 (GA4) Intermediate

Pulling standard website traffic reports, setting up basic segments, and understanding user behaviour flows.

Google Ads & Meta Business Suite Basic

Monitoring campaign performance (spend, clicks, conversions) and extracting raw data for reporting.

Microsoft Excel / Google Sheets Advanced

Extensive use for data cleaning, manipulation (VLOOKUPs, pivot tables), basic calculations, and creating simple charts.

Tableau / Power BI (or similar) Intermediate

Updating existing dashboards, refreshing data sources, and building simple visualisations from clean data.

SQL (basic queries) Basic

Running pre-written queries to extract specific datasets from a data warehouse (e.g., Snowflake, BigQuery) for analysis.

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 & Reporting Execute pre-defined data pulls and update existing reports. Escalate any issues or discrepancies to your manager. Independently extract data, build new reports from scratch, and propose improvements to existing reporting structures. Design complex data extraction strategies and reporting frameworks, ensuring data governance and scalability across the department.
Methodology & Tool Selection Use tools and methodologies as instructed. Learn the 'why' behind them. Propose and implement new tools or methodologies for specific projects, with manager approval. Define the overall technical stack and measurement methodologies for the marketing analytics function.
Stakeholder Communication Communicate data findings to your direct manager. Respond to simple data requests from channel managers with manager oversight. Proactively communicate insights and recommendations to channel managers and cross-functional peers. Present complex analytical findings and strategic recommendations to marketing leadership and other senior stakeholders.
Budget & Resource Allocation No authority. Inform manager of any resource constraints you encounter (e.g., software access, data limits). Inform manager of any resource constraints you encounter (e.g., software access, data limits). Manage project budgets up to £10K for tools or external support. Influence larger departmental budget allocations based on performance insights.

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 for Recurring Reports
The percentage of reports you produce that are free from data errors or inconsistencies.
Target · 99.5% accuracy (meaning less than 1 error per 200 data points)

If you pull a report showing £50K spend, and the actual platform data shows £55K, that's an error. We're looking for you to catch these before they go out.

On-Time Delivery of Standard Reports
How consistently you deliver your scheduled daily, weekly, and monthly reports by their agreed deadlines.
Target · 100% on-time delivery

The weekly performance report needs to be in the shared drive by 9 AM every Monday. Hitting that consistently is key.

Time to Complete Ad-Hoc Data Requests
The average time it takes you to fulfil a one-off data request from a channel manager, from request to delivery.
Target · Average 2-4 hours for standard requests

A channel manager asks for last week's Facebook ad spend breakdown by campaign. Can you get that back to them within a couple of hours?

Efficiency in Data Pulls & Cleaning
Your ability to streamline and automate repetitive data tasks, reducing the manual effort over time.
Target · Reduce manual data processing time by 10% over 6 months

If a weekly data pull currently takes 2 hours, can you find a way (e.g., better SQL query, small script) to get that down to 1 hour 45 minutes?

Proactive Learning & Curiosity
Your willingness to ask 'why' numbers look a certain way, to understand the underlying business context, and to seek out new knowledge.
  • You're asking thoughtful questions during team meetings, actively seeking feedback on your work, completing recommended training modules, and bringing up potential data anomalies before being asked.
Data Quality & Integrity
Your commitment to ensuring the data you work with is clean, consistent, and trustworthy, even if it means a bit of 'data janitor work'.
  • You're identifying and flagging data discrepancies, following data governance guidelines meticulously, and double-checking your work before submitting it. You're not just pulling numbers
  • you're verifying them.
Clear & Concise Communication
Your ability to present data and initial findings in a way that's easy for others to understand, even if they're not data experts.
  • Your reports are well-formatted and easy to read, your emails are clear and to the point, and you can explain a simple data trend verbally without getting bogged down in jargon.
Collaboration & Team Support
How effectively you work with your manager and other team members, offering help and being a reliable part of the team.
  • You're responsive to requests, offer to help colleagues when your own tasks are complete, and actively participate in team discussions. You're seen as a dependable and helpful team member.

7Would you like it

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

What people enjoy
Learning & Skill Development

You'll be excited to learn new SQL functions, understand how GA4 works, or get your head around a new data visualisation tool. You'll actively seek out opportunities to expand your technical and analytical toolkit.

Spending extra time after a team meeting to understand a new attribution model concept, or asking your manager for resources to learn Python basics.

Direct Impact of Data

You'll get a real kick out of seeing your reports and data insights directly influence a marketing decision, even a small one. Knowing your work contributes to better performance will be a big driver.

Seeing a campaign manager adjust their strategy based on a trend you spotted in your weekly report, leading to a measurable improvement in results.

Problem Solving & Puzzle Unravelling

You enjoy the process of taking messy, disparate data and making sense of it. It's like solving a puzzle – finding the right pieces and putting them together to reveal a clear picture.

Successfully reconciling two different data sources that initially showed conflicting numbers, figuring out the underlying reason for the discrepancy.

What frustrates people
  • Dealing with inconsistent naming conventions across different marketing platforms.
  • Spending hours cleaning data that should, in theory, be clean already.
  • Getting urgent requests that then get deprioritised or forgotten about.
  • Explaining basic data concepts to non-technical colleagues (repeatedly).
  • The feeling that you're just 'pulling numbers' without understanding the bigger picture (though we'll try to prevent this!).
What this role does not give you
  • Immediate strategic decision-making authority.
  • A fully automated, perfectly clean data environment.
  • A role where you're constantly building complex models from scratch (that comes later).
  • Complete autonomy over your work processes from day one.

8Who you work with

This role provides the foundational data and initial analysis that underpins all marketing performance reporting. Your accurate and timely work directly enables channel managers to optimise campaigns and senior analysts to build more complex models. Get it right, and the whole marketing department moves faster and smarter. Get it wrong, and we're making decisions based on shaky ground, which can cost us money and reputation.

Inside the business
  • Senior Marketing Performance Analyst (your direct manager)
  • Marketing Channel Managers (e.g., Paid Social, SEO)
  • Marketing Operations Team
  • Product Marketing Team
Outside the business
  • Marketing Agency Partners (for data requests and validation)

9What you need before you start

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

  • A foundational understanding of data analysis principles, perhaps from a university course, online certification, or personal projects.
  • Proven ability to work with large datasets in Excel, including using functions like VLOOKUP, SUMIFS, and pivot tables.
  • Experience with at least one web analytics platform (e.g., Google Analytics) or one paid media platform (e.g., Google Ads, Meta Business Suite), even if it's from an internship or personal project.
  • A genuine passion for numbers and a desire to understand 'why' things happen in marketing.
  • Excellent written and verbal communication skills in English.

10What to practise next

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

Advanced SQL & Data Modelling

As our data warehouse grows, you'll need to move beyond running pre-written queries to writing your own complex SQL. This means joining multiple tables, creating temporary views, and even helping to design the structure of new data tables. It's about becoming a true data architect, not just a data user.

JOIN Types (INNER, LEFT, RIGHT) · Window Functions · Common Table Expressions (CTEs) · Basic Data Modelling (Star Schema)

  • This week: Complete an online course on intermediate SQL (e.g., Codecademy, DataCamp).
  • This month: Practice writing SQL queries that join at least three tables from our existing data warehouse.
  • Month 2: Work with a senior analyst to understand the data model behind one of our key dashboards and suggest a small improvement.
  • Month 3: Start using SQL to prepare data for a new report you're building, rather than just pulling raw CSVs.

Quick win: Ask your manager for access to a sandbox environment in our data warehouse and start experimenting with different SQL queries today.

Python for Data Analysis (Pandas)

Excel has its limits. For more complex data manipulation, cleaning, and light statistical analysis, Python with the Pandas library is becoming essential. It allows for much more powerful and repeatable data processing.

DataFrames · Data Import/Export · Data Cleaning & Transformation · Basic Visualisation (Matplotlib/Seaborn)

  • This week: Complete an introductory Python for Data Science course (e.g., DataCamp, Coursera).
  • This month: Practice using Pandas to clean and transform a small, messy dataset you've worked with in Excel.
  • Month 2: Write a Python script to automate a repetitive data cleaning task you currently do manually.
  • Month 3: Explore how to connect Python to our data warehouse to pull data directly for analysis.

Quick win: Install Anaconda (or similar Python distribution) on your machine and start working through basic Pandas tutorials. It's free and a great way to learn by doing.

11Staying current once you are in

What people here do to keep up
  • Regularly engage with online learning platforms like DataCamp, Coursera, or Udemy for courses in SQL, Python (Pandas), and advanced Excel.
  • Attend industry webinars or virtual conferences focused on marketing analytics and measurement.
  • Read marketing analytics blogs and thought leadership pieces to stay updated on new trends and methodologies.
  • Participate in data challenges or hackathons to apply your skills to new problems and build your portfolio.
  • Seek out mentorship opportunities within the team or through industry networks.

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 Summarisation

AI language models (LLMs) are becoming incredibly good at summarising complex information. As an analyst, you'll be able to get quick, coherent summaries of data trends or research papers in minutes, saving you hours of reading and drafting.

  • Clear Instruction Prompts
  • Context Provision
  • Iterative Prompting
  • Output Validation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Marketing Performance Metrics
  • Data Cleaning & Validation
  • Basic Data Visualisation Principles
  • A/B Testing Concepts

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 Scheme / Internship Programme

    1-2 years

    Skills to master

    • Foundational data analysis, report automation, basic stakeholder communication, understanding of core marketing channels.

    You're ready to move on when

    • Consistently delivering accurate and timely reports.
    • Proactively identifying and flagging data discrepancies.
    • Demonstrating a strong grasp of core marketing metrics and their business context.
    • Successfully completing assigned learning modules and certifications.
  2. 2

    Entry-Level Data Analyst (non-marketing)

    1-2 years

    Skills to master

    • Transferable data cleaning and manipulation skills, adapting to marketing-specific data sources and business questions, learning marketing terminology.

    You're ready to move on when

    • Ability to quickly learn new domain-specific data structures and metrics.
    • Successfully translating general analytical skills to marketing challenges.
    • Demonstrating an understanding of marketing's impact on business outcomes.
    • Building strong relationships with marketing stakeholders.
  3. 3

    Self-Taught with Portfolio

    Variable (often 1-3 years of dedicated learning)

    Skills to master

    • Strong technical skills (SQL, Python, Excel), ability to scope and execute personal projects, clear communication of findings, understanding of marketing business problems.

    You're ready to move on when

    • A compelling portfolio showcasing real-world data analysis projects (even if simulated).
    • Strong problem-solving abilities demonstrated through project work.
    • Clear articulation of analytical methodologies and results.
    • Proactive engagement with the marketing analytics community.

15Where this role leads

The long view: This work starts with getting the numbers right. It can lead to shaping how a business invests its marketing budget and understands its customers.

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 Marketing 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 Digital Marketing, worked against Marketing Performance Analyst.

Digital Marketing Level 2

Applied to your work in Marketing Performance Analyst

This unit aims to provide learners with an understanding of digital marketing approaches and their application in different sectors. Learners will analyse the advantages and disadvantages of various strategies, evaluate successful and unsuccessful campaigns, and understand how to measure the effectiveness of digital marketing efforts.

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
Marketing Performance Analyst
  • Marketing Performance Metrics
  • Data Cleaning & Validation
  • Basic Data Visualisation Principles
  • A/B Testing Concepts
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

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

  1. Marketing Performance Specialist (L2)

    2-3 years in current role

    You'll move from executing tasks under supervision to owning the end-to-end reporting and analysis for specific marketing channels.

    • Advanced GA4 & Ad Platform Analysis Deep diving into platform data, understanding nuances of tracking.
    • Dashboard Development Building new interactive dashboards from scratch, connecting to various data sources.
    • Basic SQL for Data Exploration Writing your own queries to explore and understand data, not just running pre-written ones.
Working with AI on the job

Working with AI

Where AI is starting to help

Imagine spending less time on the tedious bits of data work and more time on the interesting stuff – like figuring out what the numbers actually mean. That's exactly what AI can do for you in this role. We're not talking about robots taking over; we're talking about smart tools that make your life easier and your work more impactful.

As a Marketing Performance Analyst, you'll be dealing with lots of data, reports, and sometimes fiddly code. AI isn't here to replace your analytical brain, but to act as your super-powered assistant, helping you get through the grunt work faster and more accurately. It's about giving you a head start and letting you focus on the insights.

Automated Anomaly Spotter

Instead of manually scanning dozens of reports for weird spikes or drops in campaign performance, AI tools can do it for you. They'll flag unusual behaviour across hundreds of campaigns in real-time, pointing you directly to the issues that need your attention before they become bigger problems. You'll spend less time hunting and more time investigating.

Report Summary Drafter

Got a complex set of charts and numbers? Feed them into an AI, and it can generate a first draft of an executive summary. It'll translate statistical jargon into clear, concise business language, helping you combat writer's block and get your findings across faster. You'll then refine it, adding your unique insights.

SQL & Python Co-Pilot

Learning to write complex SQL queries or Python scripts can be tricky. AI co-pilots are like having an expert sitting next to you, suggesting code as you type, explaining unfamiliar functions, and even helping you debug errors. This means you'll learn faster and spend less time stuck on frustrating coding problems.

Concept Explainer & Data Contextualiser

Struggling to understand a new marketing metric or a complex attribution concept? AI can quickly provide plain-English explanations, summarise research papers, or even help you brainstorm different ways to interpret a data trend. It's like having an instant tutor at your fingertips, helping you build your knowledge base much faster.

Common questions

Common questions

How do you become a Marketing Performance Analyst?

Common routes in include Graduate Scheme / Internship Programme (1-2 years), Entry-Level Data Analyst (non-marketing) (1-2 years) and Self-Taught with Portfolio (Variable (often 1-3 years of dedicated learning)). Times vary with prior experience.

Where can a Marketing Performance Analyst progress to?

This role can lead on to Marketing Performance Specialist (2-3 years in current role), depending on the skills you build.

What new skills matter most for a Marketing Performance Analyst?

Increasingly, Prompt Engineering for Data Summarisation. 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

Or try another one

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 marketing

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

The skills built in this role, including data analysis, understanding marketing ROI, stakeholder communication and technical tool use, apply beyond marketing. They can lead to data analyst roles in other areas such as finance or product, or to specialising in marketing data science, business intelligence, or marketing operations focused on martech.

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.