UK

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

Marketing Analytics Coordinator

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

Also advertised as Marketing Data Analyst · Campaign Performance Analyst · Digital Analytics Specialist

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

Start with a free Future Fluency check, tuned to Marketing Analytics Coordinator

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

You'll be the go-to person for making sense of our marketing campaign data, turning raw numbers into clear, actionable reports. This role is about getting your hands dirty with data, making sure our tracking is spot on, and helping the marketing team understand what's actually working (and what's not). You're not just pulling numbers; you're building the foundation for smarter marketing decisions.

2What you'd actually use

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

Google Analytics (GA4)Intermediate

Pulling standard reports, building basic explorations, configuring events with guidance, and using DebugView to troubleshoot tracking issues. You'll be in here daily.

Tableau / Looker StudioIntermediate

Connecting to clean data sources (like Google Sheets or BigQuery views), maintaining and updating existing dashboards, and answering ad-hoc questions using pre-built models. You'll be keeping our dashboards fresh.

SQL (PostgreSQL / BigQuery)Basic

Writing `SELECT...FROM...WHERE` queries, performing `JOIN`s on 2-3 tables, and using `GROUP BY` for basic aggregation. You'll mostly work with established views, but you'll need to be comfortable writing simple queries from scratch.

Salesforce / HubSpotIntermediate

Understanding the standard object model (Leads, Contacts, Opportunities). Building reports and dashboards within the platform to track campaign influence and lead lifecycle. You'll be pulling data to see how our leads are progressing.

Google Tag Manager (GTM)Intermediate

Deploying and testing third-party marketing tags (e.g., pixels), creating basic triggers, and understanding the concept of the data layer. You'll be making sure our tags are firing correctly.

Excel / Google SheetsAdvanced

Mastering VLOOKUP/INDEX(MATCH), Pivot Tables, and complex formulas. You'll use these for quick ad-hoc analyses, data cleaning, and sometimes as a staging ground before moving data to BI tools.

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 & QueryingFollows pre-defined queries or uses GUI tools. All new queries reviewed.Independently writes and optimises SQL queries for routine requests. Complex queries reviewed by Senior Analyst.Designs and optimises complex data models and views. Approves junior/mid-level queries.
Report & Dashboard DesignUpdates existing dashboards with new data. Creates basic reports from templates.Designs and builds new dashboards for specific campaign or channel performance, adhering to brand guidelines. Proposes improvements to existing reports.Designs and architects comprehensive reporting suites. Establishes data visualisation best practices.
Tracking Implementation (GTM)Tests existing tags and events. Deploys simple, pre-configured tags under supervision.Independently deploys and tests standard marketing tags (e.g., pixels, basic events). Understands data layer concepts. Complex implementations reviewed.Designs and implements complex tracking architectures, including custom variables and advanced triggers. Defines data layer specifications.
Issue EscalationEscalates all identified data inconsistencies or tracking errors to supervisor.Investigates and diagnoses routine data issues, proposes solutions. Escalates complex or systemic issues.Leads investigation and resolution of systemic data quality issues. Defines preventative measures.

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.

Report Accuracy
The percentage of recurring reports and ad-hoc analyses that contain no identifiable errors or inconsistencies.
Target · 99% accuracy on all standard reports

You deliver the weekly paid media report, and the Paid Media Manager confirms all numbers match their platform data, with no discrepancies. That's a win.

Delivery Timeliness
The percentage of recurring reports and ad-hoc data requests delivered by their agreed-upon deadline.
Target · 95% of recurring reports and 80% of ad-hoc requests delivered on time

The Monday morning campaign performance dashboard is live by 9 AM every Monday, without fail. That's what we're after.

Campaign Tracking Coverage
The percentage of active marketing campaigns that have complete and accurate UTM tracking parameters.
Target · 90% coverage for all new campaigns

You run a report and find that 9 out of 10 new social media campaigns launched last month have perfect UTM tagging, meaning we can track their performance properly.

Data Quality Issue Identification
The number of previously unrecognised data quality issues (e.g., tracking errors, inconsistent naming conventions) you proactively identify and flag.
Target · Identify at least 2 significant data issues per quarter

You notice a sudden drop in event tracking for a key conversion point, investigate, and discover a recent website update broke a GTM tag. You flag it before anyone else does.

Stakeholder Satisfaction with Data Support
How happy the marketing team is with the clarity, relevance, and responsiveness of the data support you provide.
  • Marketing managers regularly use your reports in their planning meetings. They come to you with questions, not just requests. They tell your manager that your insights helped them make a decision. They actually understand what you're telling them.
Proactive Insight Generation
Your ability to go beyond just pulling data and actually spot interesting trends or potential problems before being asked.
  • You flag an unexpected dip in conversion rate for a specific channel and suggest looking into it. You notice a particular ad creative is performing exceptionally well and share that with the team, unprompted. You're not just reactive
  • you're looking for opportunities.
Contribution to Data Literacy
How well you help your marketing colleagues understand basic analytics concepts and use data more effectively themselves.
  • You patiently explain metrics in a way that makes sense. Colleagues start asking smarter questions. You might even put together a quick 'how-to' guide for a common report, making it easier for them to self-serve.

5Would you like it

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

What people enjoy
Solving Puzzles

You love the challenge of taking disparate, messy data and piecing it together to reveal a clear picture. Finding that one missing piece of tracking or debugging a broken report gives you a real buzz.

Spending an afternoon tracking down why a specific campaign's conversion data wasn't showing up in Google Analytics, eventually finding a small error in GTM, and fixing it to see the numbers flow in correctly.

Making a Tangible Impact

You're motivated by seeing your work directly influence marketing decisions and improve campaign performance. You want to know that the numbers you provide are actually being used to make things better.

Presenting data that shows a particular ad creative is underperforming, leading the paid media team to pause it and reallocate budget, resulting in a noticeable improvement in ROAS for the next month.

Continuous Learning & Improvement

The world of marketing analytics is always changing, and you're keen to keep up. You enjoy learning new tools, techniques, and finding more efficient ways to get things done.

Taking the initiative to learn a new SQL function to write more efficient queries, or exploring a new feature in Google Analytics 4 to get deeper insights into user behaviour.

What frustrates people
  • The 'Urgent' Request: Getting a 'quick question' from a VP at 4 PM on a Friday that requires 10 hours of deep analysis and messes up your weekend plans.
  • UTM Chaos: The social media or content team launching a major campaign and forgetting to add, or incorrectly adding, UTM parameters, rendering all your backend tracking useless.
  • Garbage In, Garbage Out: Spending 60% of your time cleaning, blending, and validating inconsistent data from various marketing platforms before you can even begin the actual analysis.
  • The Attribution Argument: Being caught in the crossfire between the Paid Search manager and the Content Marketing manager, both of whom want credit for the same conversion.
  • Pressure for a 'Good News' Story: Feeling implicitly or explicitly pressured by stakeholders to find data that supports a predetermined narrative or a pet project's success, even when the data doesn't quite agree.
  • Explaining Causation vs. Correlation: Repeatedly explaining to senior leaders that just because organic traffic went up after they appeared on a podcast, it doesn't mean the podcast *caused* the increase.
  • Shifting Requirements: A stakeholder asks for a dashboard to track X, you spend two weeks building it, and upon delivery, they say, 'This is great, but what I really need is to see Y.'
What this role does not give you
  • A perfectly clean dataset from day one; you'll be doing a lot of data wrangling.
  • Immediate, high-level strategic influence; you'll build credibility through consistent, accurate work.
  • A role where you only build new, exciting models; a lot of it is maintaining existing reports and ensuring data quality.
  • Guaranteed deployment of every piece of analysis; sometimes the business moves on or priorities change, and your work might not see the light of day.

6Who you work with

This role directly impacts the effectiveness and efficiency of our marketing spend. By providing accurate and timely data, you'll help campaign managers optimise their efforts, identify areas for improvement, and ultimately contribute to our customer acquisition and retention goals. Your work ensures that marketing decisions are based on facts, not just gut feelings, which is pretty crucial for the bottom line.

Inside the business
  • Paid Media Team
  • Content Marketing Team
  • CRM & Email Marketing Team
  • Product Marketing Managers
  • Marketing Analytics Manager
Outside the business
  • Digital Advertising Agencies (occasionally)
  • Marketing Platform Vendors

7What you need before you start

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

  • At least 2 years of hands-on experience in a marketing analytics, digital analyst, or similar data-focused role.
  • Demonstrable experience building and maintaining dashboards in Tableau or Looker Studio (or similar BI tool).
  • Proven ability to write basic SQL queries to extract and manipulate data.
  • Solid understanding of Google Analytics (preferably GA4) and Google Tag Manager for web analytics and tracking.
  • Strong analytical mindset with a track record of identifying data inconsistencies and proposing solutions.
  • Excellent verbal and written communication skills, especially when explaining data to non-technical audiences.

8What to practise next

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

Advanced SQL for Data Modelling

As our data grows, so does the complexity of our questions. Moving beyond basic queries to building robust, reusable data models directly in SQL will become essential for efficient and scalable analysis.

Common Table Expressions (CTEs) · Window Functions · Data View Creation

  • This week: Practice writing a CTE for one of your recurring data pulls.
  • This month: Take an online course on advanced SQL (e.g., on Udemy, DataCamp) focusing on window functions.
  • Month 2: Work with your Senior Analyst to convert one of your complex ad-hoc queries into a reusable SQL view.
  • Month 3: Start optimising your existing queries for performance.

Quick win: Challenge yourself to rewrite one of your existing, longer queries using at least one CTE. It'll make it much cleaner.

Advanced Google Analytics 4 (GA4) Implementation & Analysis

GA4 is constantly evolving, and its event-driven model offers incredible flexibility. Mastering its nuances will be key to unlocking deeper user behaviour insights and ensuring our tracking stays ahead of the curve.

Custom Event & Parameter Design · Audience Segmentation & Activation · Explorations & Funnels

  • This week: Dive deep into GA4's 'Explorations' reports and try to recreate one of your existing funnel analyses.
  • This month: Complete a Google-certified course on advanced GA4 features and implementation.
  • Month 2: Propose a new custom event to track a specific, valuable user interaction on our website.
  • Month 3: Work with the web development team to implement a new data layer variable for enhanced tracking.

Quick win: Spend an hour exploring the 'Free-form' report in GA4. Just play around with different dimensions and metrics – you'll be surprised what you find.

9Staying current once you are in

What people here do to keep up
  • Regularly read industry blogs and publications (e.g., Marketing Week, Search Engine Journal, Google Analytics blog) to stay on top of trends.
  • Attend webinars or online workshops on new features in GA4, Tableau, or SQL.
  • Participate in online communities or forums for marketing analytics professionals to learn from peers.
  • Take a course on data visualisation best practices to improve your dashboard design skills.
  • Practice your SQL skills by working through online challenges or personal projects.

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 & LLM Integration (Basic)

Competitors are already using Large Language Models (LLMs) to draft report summaries, generate initial SQL queries, and even brainstorm campaign ideas in minutes. Analysts who figure this out will outproduce their peers significantly.

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

Your PlanIllustration

Built for Marketing Analytics Coordinator

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

  1. Digital AnalyticsOCN London · covers 4 of 16 standardsLevel 4
  2. Analyse market research dataCity and Guilds of London Institute · covers 3 of 16 standardsLevel 3
  3. Analyse and report dataAIM Qualifications · covers 3 of 16 standardsLevel 3
  4. Digital Business, Marketing Metrics and AnalyticsATHE Ltd · covers 3 of 16 standardsLevel 4
  5. Marketing ResearchAQA Education · covers 2 of 16 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 & LLM Integration (Basic)

Competitors are already using Large Language Models (LLMs) to draft report summaries, generate initial SQL queries, and even brainstorm campaign ideas in minutes. Analysts who figure this out will outproduce their peers significantly.

  • Effective Prompting
  • Context Windows & Token Limits
  • Output Validation

Cross-Channel Measurement & Integration

Customers don't stick to one channel; they interact with our brand across many. Future success depends on understanding the holistic customer journey, not just siloed channel performance. This means bringing data together from disparate sources.

  • Data Blending Techniques
  • Customer Data Platforms (CDPs)
  • Unified Reporting

What you’ll use

Skills this role draws on

Technical

  • Marketing Attribution Modelling (Basic)
  • A/B & Multivariate Testing (Basic)
  • Customer Segmentation & Cohort Analysis (Basic)
  • Conversion Rate Optimisation (CRO) & Funnel Analysis (Basic)
  • Campaign Performance Measurement

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

    Marketing Analytics Associate (L1)

    1-2 years

    Skills to master

    • Mastering basic data extraction, report generation, data entry accuracy, and foundational knowledge of our tech stack (GA4, Excel).

    You're ready to move on when

    • Consistently delivers accurate reports on time with minimal supervision.
    • Can independently troubleshoot minor data discrepancies.
    • Proactively identifies opportunities for process improvement in routine tasks.
  2. 2

    Marketing Graduate Scheme

    2-3 years (post-graduation)

    Skills to master

    • Developing a strong understanding of marketing principles, gaining hands-on experience with various marketing channels, and building foundational analytical skills.

    You're ready to move on when

    • Successfully completed rotations in different marketing functions with strong performance reviews.
    • Demonstrates a clear aptitude and interest in data-driven decision making.
    • Has completed relevant internal training programmes or certifications.
  3. 3

    Data Entry/Reporting Specialist (Non-Marketing)

    2-4 years

    Skills to master

    • Strong data manipulation skills in Excel/Sheets, experience with basic reporting tools, and a keen eye for detail. You'll need to learn marketing-specific metrics and platforms.

    You're ready to move on when

    • Proven track record of accuracy and efficiency in data handling.
    • Has self-taught or completed courses in marketing analytics tools (GA4, GTM).
    • Can articulate why they want to transition specifically into marketing analytics.

11Where this role leads

The long view:Your career here isn't a rigid ladder; it's more like a climbing wall with many different routes to the top. We're committed to helping you find the path that best suits your strengths and ambitions, whether that's leading people or becoming a deep technical expert.

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 Marketing Analytics Coordinator 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:

Digital AnalyticsLevel 4

Applied to your work in Marketing Analytics Coordinator

This unit aims to provide learners with a comprehensive understanding of digital analytics principles, tools, and techniques. Learners will develop the skills to collect, analyse, and interpret digital data from various sources, enabling them to measure the effectiveness of digital marketing campaigns, improve strategies, and report findings to stakeholders, while adhering to data protection regulations.

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 Marketing Analytics Coordinator

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.

  • Report AccuracyThe percentage of recurring reports and ad-hoc analyses that contain no identifiable errors or inconsistencies.You deliver the weekly paid media report, and the Paid Media Manager confirms all numbers match their platform data, with no discrepancies. That's a win.99% accuracy on all standard reports
  • Delivery TimelinessThe percentage of recurring reports and ad-hoc data requests delivered by their agreed-upon deadline.The Monday morning campaign performance dashboard is live by 9 AM every Monday, without fail. That's what we're after.95% of recurring reports and 80% of ad-hoc requests delivered on time
  • Campaign Tracking CoverageThe percentage of active marketing campaigns that have complete and accurate UTM tracking parameters.You run a report and find that 9 out of 10 new social media campaigns launched last month have perfect UTM tagging, meaning we can track their performance properly.90% coverage for all new campaigns
  • Data Quality Issue IdentificationThe number of previously unrecognised data quality issues (e.g., tracking errors, inconsistent naming conventions) you proactively identify and flag.You notice a sudden drop in event tracking for a key conversion point, investigate, and discover a recent website update broke a GTM tag. You flag it before anyone else does.Identify at least 2 significant data issues per quarter
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 Marketing Analytics Coordinator to Senior Marketing Analyst (L3), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Marketing Analyst (L3)→ your design
Where this takes you

Your career here isn't a rigid ladder; it's more like a climbing wall with many different routes to the top. We're committed to helping you find the path that best suits your strengths and ambitions, whether that's leading people or becoming a deep technical expert.

See Your Progress GrowIllustration
Marketing Analytics Coordinator
  • Marketing Attribution Modelling (Basic)
  • A/B & Multivariate Testing (Basic)
  • Customer Segmentation & Cohort Analysis (Basic)
  • Conversion Rate Optimisation (CRO) & Funnel Analysis (Basic)
  • Campaign Performance Measurement
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

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

  1. Senior Marketing Analyst (L3)

    2-3 years in the Coordinator role

    You'll move from owning recurring reports to leading analysis for major campaigns and designing new dashboards from scratch. You'll also start mentoring junior team members.

    • Advanced A/B Testing Design & Analysis: Independently designing, running, and interpreting statistically significant experiments.
    • Marketing Mix Modelling (MMM) basics: Understanding the principles of how different marketing channels contribute to overall sales.
    • SQL Data Modelling: Building and maintaining complex SQL views and data models for team use.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, a big chunk of any analyst's job is repetitive. Imagine if you could offload some of that grunt work to an intelligent assistant. You'd have more time for the really interesting stuff – the deep dives, the strategic thinking, the actual problem-solving. That's exactly what AI can do for you in this role.

We're not talking about replacing you; we're talking about empowering you. Think of AI as your super-efficient intern, ready to tackle the tedious tasks that eat up your day. From drafting report summaries to spotting anomalies in your data, AI tools are already transforming how marketing analytics gets done. We want you to be at the forefront of this.

Automated Report Summariser

Use an AI tool (like ChatGPT or a built-in BI feature) to read a dashboard's raw data and generate a first draft of your weekly performance summary email. It'll highlight key trends, anomalies, and top/bottom performers, saving you hours of manual write-up time. You just need to review and refine.

Anomaly & Segment Detector

Feed your campaign performance data into an AI model to rapidly identify non-obvious patterns. It can flag which creative/audience combination is suddenly underperforming, or even discover a new, high-converting customer segment the team hadn't considered. This helps you spot issues and opportunities much faster than manual analysis.

SQL Query Draft Assistant

Stuck on a complex SQL query or just need a quick start? Use an AI assistant to draft initial queries based on your natural language descriptions. It's fantastic for generating basic `SELECT`, `JOIN`, and `GROUP BY` statements, letting you focus on the logic rather than the syntax. You'll still need to review and optimise, of course.

Stakeholder Comms Scripter

When you have a complex finding (e.g., a statistically significant but small A/B test lift) that you need to explain clearly, use an AI assistant to draft multiple versions of the explanation. You can tailor it for different audiences – a simple one for the CMO, a more detailed one for the product manager – ensuring your message lands effectively.

Common questions

Common questions

How do you become a Marketing Analytics Coordinator?

Common routes in include Marketing Analytics Associate (L1) (1-2 years), Marketing Graduate Scheme (2-3 years (post-graduation)) and Data Entry/Reporting Specialist (Non-Marketing) (2-4 years). Times vary with prior experience.

Where can a Marketing Analytics Coordinator progress to?

This role can lead on to Senior Marketing Analyst (L3) (2-3 years in the Coordinator role), depending on the skills you build.

What level is a Marketing Analytics Coordinator in the UK?

This role aligns to RQF Level 3 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 Marketing Analytics Coordinator?

Increasingly, Prompt Engineering & LLM Integration (Basic) and Cross-Channel Measurement & Integration. 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 Marketing Analytics Coordinator, 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 16 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 Marketing Analytics Coordinator: 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 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Marketing

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

If you leave this industry

The skills you'll gain in this role are highly transferable. You could move into broader data analyst roles in other departments (e.g., Product Analytics, Business Intelligence), or specialise further within marketing tech (e.g., Marketing Operations, CRM Manager) or even consultancies.

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.