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

Marketing Performance Specialist

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 toManager, Marketing Performance & Measurement
UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Marketing Analyst · Digital Performance Analyst · Growth Analyst (Marketing) · Channel Performance 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 Performance Specialist

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

This isn't just about pulling numbers; it's about making sense of them for a specific marketing channel. You'll own the data for things like Paid Search or Social Media, figuring out what's actually working and what's just burning cash. Think of yourself as the detective for a particular part of our marketing spend, providing the insights that help us spend smarter. You'll be the one digging into the 'why' behind the 'what' for your designated channels.

2What 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 reports, building custom segments, setting up basic event tracking with Google Tag Manager (GTM), and debugging common tracking issues for your channels.

Google AdsIntermediate

Monitoring campaign performance, extracting spend and conversion data, understanding key metrics like CPC and CPA, and identifying optimisation opportunities directly within the platform.

Meta Business SuiteIntermediate

Analysing Facebook/Instagram campaign performance, pulling audience insights, understanding ad set level data, and identifying creative trends.

Tableau / Power BIIntermediate

Building and maintaining existing dashboards for your assigned channels, connecting to clean data sources, and creating new visualisations to answer specific business questions.

SQL (Snowflake / Google BigQuery)Intermediate

Writing complex SQL queries (including CTEs and window functions) to extract, transform, and combine data from our data warehouse for detailed analysis and reporting.

Python (pandas, NumPy)Basic

Performing data cleaning and manipulation tasks, running basic statistical analyses, and automating repetitive data processes using common libraries like pandas and NumPy.

Segment / Tealium (CDP)Basic

Understanding how data flows through our Customer Data Platform, verifying if events are firing correctly, and troubleshooting basic data ingestion issues.

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 choice	Coming in	Where you are now	The step above
Data Extraction & Cleaning Methodology	Follows established scripts and templates; escalates any deviations or complex issues.	Independently chooses the best method for routine data pulls; proposes new cleaning techniques; escalates novel data challenges.	Designs new data extraction pipelines; defines data quality standards; mentors others on best practices.
Reporting & Dashboard Design	Updates existing dashboards and reports based on clear instructions.	Designs and builds new dashboards for specific channel needs; makes recommendations for improving existing reports.	Defines the overall reporting framework for a workstream; ensures consistency and accuracy across multiple dashboards.
Campaign Optimisation Recommendations	Identifies basic performance trends and flags them to a senior analyst.	Analyses channel performance, identifies specific opportunities, and proposes actionable recommendations to channel owners.	Develops cross-channel optimisation strategies; challenges existing campaign structures; presents recommendations to leadership.
Tool & Software Selection (within scope)	Uses existing tools as instructed.	Can research and propose specific features or minor tool add-ons to improve efficiency for their channels (e.g., a new GA4 report type).	Evaluates new analytics tools or features for a specific workstream; makes recommendations for adoption or integration.

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.

Channel ROI Reporting Accuracy

How accurate your reported Return on Investment (ROI) is for your assigned channels, compared to post-campaign reconciliation with Finance.

Target · ±5% variance on monthly ROI figures

If you report a Paid Social ROI of 1.8x, and Finance later confirms 1.75x, that's a 2.8% variance, which is well within target.

Campaign Optimisation Impact

The measurable uplift in key channel metrics (e.g., CPA, CPL, Conversion Rate) resulting from your analysis and recommendations.

Target · Identify and recommend optimisations leading to a 10%+ improvement in a key channel metric at least once per quarter.

You spot that a specific ad creative on Meta has a 20% lower CPA; your recommendation leads to a budget shift that improves overall channel CPA by 12%.

Reporting Automation & Efficiency

The amount of manual effort saved through automating routine reports or improving data pipeline reliability for your channels.

Target · Reduce manual reporting time by 15% across your assigned channels within 12 months.

You build a new Tableau dashboard that pulls data directly from Google Ads, saving the Paid Search Manager 4 hours a week on manual data compilation.

Data Quality & Integrity

How clean and reliable the data is for your assigned channels, including identifying and resolving tracking issues.

Target · Maintain data error rate below 2% for key channel metrics (e.g., conversions, clicks, spend).

You proactively identify a Google Analytics tracking error that was undercounting conversions by 10% and work with the dev team to fix it before it impacts reporting.

Channel Owner Trust & Adoption

How much channel owners rely on your insights and actively use your reports to make their decisions.

Channel owners proactively ask for your input on campaign planning
they reference your reports in their team meetings
they implement your recommendations without significant pushback
positive feedback in 1-to-1s with your manager.

Proactive Problem Identification

Your ability to spot potential issues or opportunities in the data before they become major problems or are explicitly asked for.

You flag declining performance trends before anyone else notices
you identify new segments or targeting opportunities
you bring potential data discrepancies to your manager's attention before they're discovered in a wider audit.

Clarity of Communication

How effectively you translate complex data and statistical concepts into clear, understandable language for non-technical audiences.

Channel owners can easily explain your insights to their own teams
your presentations are concise and focus on actionable takeaways
you rarely get follow-up questions asking for clarification on basic concepts
positive feedback on your written summaries.

Mentorship & Knowledge Sharing

Your willingness and ability to help new team members or less experienced colleagues understand our data and tools.

You offer to help new joiners with SQL queries
you're patient when explaining dashboards
you share useful resources or tips with the wider team
new analysts come to you with questions before escalating to your manager.

5Would you like it

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

What people enjoy

Seeing Your Insights Drive Action

You get a real kick out of presenting a finding, seeing a channel owner nod, and then watching them actually implement your suggestion. That direct link between your analysis and a tangible change in marketing strategy is what gets you going.

You recommend pausing a specific ad set due to poor performance, and within a week, you see the channel's CPA drop significantly. That's a win.

Solving Tricky Data Puzzles

When the numbers don't quite add up, or you're trying to figure out why one campaign is performing so differently from another, you're energised. You love the process of digging into the data, writing complex queries, and unravelling the mystery.

You spend a day trying to reconcile discrepancies between Google Ads and Google Analytics data, finally pinpointing a UTM tagging error that explains everything.

Becoming the Channel Data Expert

You enjoy becoming the recognised 'go-to' person for performance questions about your assigned channels. You like knowing that you're the one who truly understands the nuances of that data and can speak authoritatively about it.

The Head of Paid Search comes directly to you for their monthly performance review prep, knowing you'll have all the key insights ready.

What frustrates people

The Attribution Tug-of-War: Constantly navigating the conflict between your multi-touch attribution model (if we have one) and the channel owner's 'last-click' view from the ad platform.
The Data is Never Clean: Realising that 30-40% of your time is spent on data wrangling and pipeline maintenance, not on generating cool insights.
Explaining Basic Statistics: Sometimes you'll feel like you're repeating yourself trying to explain concepts like statistical significance or confidence intervals to non-technical colleagues.
Platform 'Walled Gardens': The frustration of not being able to get granular, user-level data from big platforms like Meta or Google, making true incrementality harder to prove.

What this role does not give you

Direct management experience (you'll guide, but not manage people).
A purely strategic role (you're deep in the weeds with the data).
A role where you only build models (you're also reporting, cleaning, and communicating).
A completely predictable day-to-day (urgent requests will pop up).

6Who you work with

Your work directly influences how we allocate budget and optimise campaigns within specific marketing channels. You're helping us avoid wasteful spending and find hidden opportunities, which ultimately boosts our overall marketing efficiency and contributes to lead generation and revenue.

Inside the business

Paid Media Channel Owners (e.g., Head of Paid Search, Social Media Manager)
Content Marketing Team
Product Marketing Team
CRM & Email Marketing Team
Sales Operations (for lead hand-off data)

Outside the business

Marketing Agencies (e.g., media buying agencies)
Platform Representatives (e.g., Google, Meta account managers)

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 data analysis role within a marketing or digital environment.
Demonstrable experience with SQL for data extraction and manipulation, ideally with large datasets.
Proven ability to build and maintain dashboards in Tableau or Power BI.
Solid understanding of core digital marketing metrics (e.g., CPA, ROAS, LTV, CTR, CVR).
Experience working with at least two major ad platforms (e.g., Google Ads, Meta Business Suite) and Google Analytics 4.
A track record of translating data into actionable recommendations for marketing teams.

8What to practise next

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

Advanced Data Engineering for Marketing

As data volumes grow and we seek more real-time insights, the ability to build and maintain robust data pipelines will be crucial. You'll need to move beyond just querying data to helping shape how it's collected and stored.

ETL/ELT processes (Extract, Transform, Load) · Data governance and quality frameworks · Schema design and optimisation · Data lineage and documentation

This week: Ask your manager to shadow a senior analyst or data engineer on a data pipeline project. Just observe.
This month: Take an online course on data warehousing concepts (e.g., on Coursera or Udemy) focusing on Snowflake or BigQuery.
Month 2: Propose and build a small, automated data quality check for one of your channels using Python.
Month 3: Work with a senior analyst to document the data lineage for a key marketing metric, understanding all its sources and transformations.

Quick win: Start proactively documenting the data sources and transformation steps for your existing reports. Future-you (and everyone else) will thank you for it.

Basic Predictive Modelling (e.g., Regression, Time Series)

Moving beyond just 'what happened' to 'what will happen' is the next step in performance. Being able to build simple predictive models will allow you to forecast channel performance and identify potential future issues or opportunities.

Linear and logistic regression · Time series analysis (e.g., ARIMA, Prophet) · Feature engineering · Model evaluation metrics (e.g., R-squared, RMSE)

This week: Read up on the basics of linear regression and how it's used in marketing.
This month: Take an introductory Python course on machine learning (e.g., using scikit-learn) focusing on regression.
Month 2: Try to build a simple linear regression model in Python to predict leads based on ad spend for one of your channels.
Month 3: Present your basic model and its findings to your manager, discussing its limitations and potential improvements.

Quick win: Start by simply trying to forecast next week's channel performance using basic Excel functions (like TREND or FORECAST) and then compare it to actuals. It's a low-stakes way to get into prediction.

9Staying current once you are in

What people here do to keep up

Regularly follow leading marketing analytics blogs and publications (e.g., Measure Slack, Analytics Pros, Google Analytics blog).
Attend webinars or online courses on advanced SQL, Python for data analysis, or new visualisation techniques.
Participate in online data communities or forums to learn from peers and stay updated on industry best practices.
Take part in internal knowledge-sharing sessions or present your own findings to the wider team.

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 Marketing Analytics

AI language models (LLMs) are getting incredibly good at summarising, explaining, and even generating code. Analysts who can 'talk' to these models effectively will be far more productive, turning hours of work into minutes.

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

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 Marketing Analytics

AI language models (LLMs) are getting incredibly good at summarising, explaining, and even generating code. Analysts who can 'talk' to these models effectively will be far more productive, turning hours of work into minutes.

Context windows and token limits
Temperature settings for different tasks
Output validation and hallucination detection
Prompt chaining for complex analysis

What you’ll use

Skills this role draws on

Technical

Multi-Touch Attribution (MTA) & Incrementality Concepts
Customer Lifetime Value (CLV) Analysis
A/B Testing & Experimentation
Data Modelling & Schema Understanding
Marketing Mix Modelling (MMM) 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
Marketing Performance Analyst (L1)
1-2 years
Skills to master
- Data extraction from platforms, basic SQL, report generation, understanding core marketing metrics, attention to detail.
You're ready to move on when
- Consistently delivers accurate daily/weekly reports on time.
- Can confidently answer basic 'what happened' questions about campaign performance.
- Proactively identifies and flags minor data discrepancies.
- Shows initiative in learning new tools and methodologies.
2
Digital Marketing Executive (with analytical focus)
2-3 years
Skills to master
- Campaign management, platform optimisation, interpreting performance data, basic A/B testing, understanding channel mechanics.
You're ready to move on when
- Successfully managed and optimised campaigns across 1-2 digital channels.
- Can articulate the 'why' behind campaign performance.
- Demonstrates a clear interest in the data side of marketing, not just execution.
- Has experience using analytics tools to inform campaign decisions.
3
Junior Business Intelligence Analyst (transferring to Marketing)
2-4 years
Skills to master
- Advanced SQL, dashboarding (Tableau/Power BI), data warehousing concepts, stakeholder communication, translating business questions into data queries.
You're ready to move on when
- Strong technical skills in SQL and data visualisation.
- A clear desire to apply data skills specifically to marketing problems.
- Can demonstrate an understanding of marketing concepts and metrics.
- Has experience working with business stakeholders to define reporting needs.

11Where this role leads

The long view:Your journey here is what you make of it. We're here to provide the opportunities and support, but ultimately, your curiosity, drive, and willingness to learn will define where you go next.

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 Performance Specialist 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.

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 Performance Specialist

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

Remember
Understand
Apply
Analyse
Evaluate
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.

Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
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.
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.
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.
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 Performance Specialist

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.

Channel ROI Reporting AccuracyHow accurate your reported Return on Investment (ROI) is for your assigned channels, compared to post-campaign reconciliation with Finance.If you report a Paid Social ROI of 1.8x, and Finance later confirms 1.75x, that's a 2.8% variance, which is well within target.±5% variance on monthly ROI figures
Campaign Optimisation ImpactThe measurable uplift in key channel metrics (e.g., CPA, CPL, Conversion Rate) resulting from your analysis and recommendations.You spot that a specific ad creative on Meta has a 20% lower CPA; your recommendation leads to a budget shift that improves overall channel CPA by 12%.Identify and recommend optimisations leading to a 10%+ improvement in a key channel metric at least once per quarter.
Reporting Automation & EfficiencyThe amount of manual effort saved through automating routine reports or improving data pipeline reliability for your channels.You build a new Tableau dashboard that pulls data directly from Google Ads, saving the Paid Search Manager 4 hours a week on manual data compilation.Reduce manual reporting time by 15% across your assigned channels within 12 months.
Data Quality & IntegrityHow clean and reliable the data is for your assigned channels, including identifying and resolving tracking issues.You proactively identify a Google Analytics tracking error that was undercounting conversions by 10% and work with the dev team to fix it before it impacts reporting.Maintain data error rate below 2% for key channel metrics (e.g., conversions, clicks, spend).

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 Performance Specialist to Senior Marketing Performance Analyst (L3), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Marketing Performance Analyst (L3)→ your design

Where this takes you

Your journey here is what you make of it. We're here to provide the opportunities and support, but ultimately, your curiosity, drive, and willingness to learn will define where you go next.

See Your Progress GrowIllustration

Marketing Performance Specialist

Multi-Touch Attribution (MTA) & Incrementality Concepts
Customer Lifetime Value (CLV) Analysis
A/B Testing & Experimentation
Data Modelling & Schema Understanding
Marketing Mix Modelling (MMM) 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

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

Senior Marketing Performance Analyst (L3)
3-5 years in current role
You'll move from owning specific channels to leading complex, cross-channel analytical projects. You'll also start mentoring junior analysts and driving improvements to our overall measurement frameworks.
- Designing and implementing new measurement frameworks (e.g., for new product launches)
- Building and validating basic predictive models (e.g., lead scoring, churn prediction)
- Advanced experimentation design (e.g., geo-lift tests, incrementality studies)
- Deep expertise in data governance and quality best practices

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of your day can be spent on repetitive tasks or sifting through mountains of data. Imagine if you could offload some of that grunt work to AI, freeing you up for the interesting stuff—the deep analysis, the strategic thinking, the actual problem-solving. Well, you can. We're embracing AI to make our team more efficient and, frankly, happier.

We're not talking about robots taking over your job; we're talking about smart tools that act as your personal assistant, supercharging your productivity. For a Marketing Performance Specialist, this means less time wrestling with data and more time delivering killer insights. Here's a peek at how AI can transform your day-to-day.

Automated Anomaly Detection

Imagine AI constantly watching your campaign data across Google Ads and Meta. It'll automatically flag if your CPA suddenly spikes or your conversion rate drops, pointing you directly to the problem before it spirals. No more manual daily checks across dozens of campaigns – the AI does the heavy lifting, letting you focus on the fix.

Insight Generation Accelerator

Need to understand why a campaign performed the way it did? Feed your performance data, ad creative, and even competitor news into an AI. It can quickly summarise key themes, identify potential drivers, and even suggest hypotheses for further investigation, cutting down your research time significantly.

Executive Summary Drafter

After you've done all the hard analysis and built your beautiful charts, the AI can take your key findings and draft a concise, business-friendly executive summary for your weekly or monthly reports. You'll still refine it, of course, but it's a huge head start on translating numbers into narrative.

SQL & Python Co-Pilot

Stuck on a complex SQL query to join data from GA4 and Snowflake? Or debugging a Python script for data cleaning? AI assistants can suggest code, explain functions, and even help you optimise your queries, making you faster and more confident in your technical work. It's like having an expert programmer looking over your shoulder.

Common questions

How do you become a Marketing Performance Specialist?

Common routes in include Marketing Performance Analyst (L1) (1-2 years), Digital Marketing Executive (with analytical focus) (2-3 years) and Junior Business Intelligence Analyst (transferring to Marketing) (2-4 years). Times vary with prior experience.

Where can a Marketing Performance Specialist progress to?

This role can lead on to Senior Marketing Performance Analyst (L3) (3-5 years in current role), depending on the skills you build.

What level is a Marketing Performance Specialist 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 Performance Specialist?

Increasingly, Prompt Engineering for Marketing Analytics. 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 Performance Specialist, 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 13 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 Performance Specialist: 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 Zavmo curriculum screen: a three-month plan built for a customer support lead, five Ofqual-regulated units and a hundred and ninety-six credits. — 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 here – advanced analytics, data storytelling, stakeholder management, and understanding marketing ROI – are highly transferable. You could move into broader business intelligence roles, product analytics, or even consulting within the marketing tech space.

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.

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.

Marketing Performance Specialist

What's rising in its place

Prompt Engineering for Marketing Analytics

Skills this role draws on

Technical

How you actually get there, here

Marketing Performance Analyst (L1)

Digital Marketing Executive (with analytical focus)

Junior Business Intelligence Analyst (transferring to Marketing)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

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

A conversation, not a course

No two people run this the same way

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

Your journey here is what you make of it. We're here to provide the opportunities and support, but ultimately, your curiosity, drive, and willingness to learn will define where you go next.

Everything else the record holds

The career path, and where it branches

Senior Marketing Performance Analyst (L3)

Where AI is starting to help

Automated Anomaly Detection

Insight Generation Accelerator

Executive Summary Drafter

SQL & Python Co-Pilot

Common questions

You’ve started things before

Less than one coaching session. Every month.

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