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

Marketing Performance Specialist

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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As a Marketing Performance Specialist, a good place to start on Prompt Engineering for Marketing Analytics is Using and Checking AI Tools in Daily Work, a free Future Fluency module at Level 3. You'd practise using everyday AI tools on real tasks from your own week, and checking what they produce before you use it.

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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 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

OCNLR Level 4 Diploma in Digital Marketing OCN London · Level 4 · covers 5 of 13 standards

OCNLR Level 4 Certificate in Digital Marketing OCN London · Level 4 · covers 3 of 13 standards

ATHE Level 4 Extended Diploma in Digital Marketing ATHE Ltd · Level 4 · covers 3 of 13 standards

City & Guilds Level 3 Diploma in Digital Marketing City and Guilds of London Institute · Level 3 · covers 3 of 13 standards

OCNLR Level 4 Award in Digital Analytics OCN London · Level 4 · covers 2 of 13 standards

Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 8 of 13 standards

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

The units you would start with

Digital Analytics OCNLR Level 4 Diploma in Digital Marketing

Digital Business, Marketing Metrics and Analytics ATHE Level 4 Extended Diploma in Digital Marketing

Digital marketing metrics and analytics City & Guilds Level 3 Diploma in Digital Marketing

Digital Marketing Gateway Qualifications Level 2 Award 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 Specialist

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

Digital Analytics OCN London · covers 5 of 13 standards Level 4
Digital Business, Marketing Metrics and Analytics ATHE Ltd · covers 3 of 13 standards Level 4
Digital marketing metrics and analytics City and Guilds of London Institute · covers 3 of 13 standards Level 3
Digital Marketing Gateway Qualifications Limited · covers 8 of 13 standards Level 2

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 Specialist?

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 Marketing Analytics

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
Systems Fluencyseeing the whole picture

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 Specialist 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 means making sense of marketing data for a specific channel, such as paid search or social media. It involves working out what is working and what is wasting money. The work centres on finding the reasons behind the results for those channels, so spending decisions can be made with more confidence.

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

Google Ads Intermediate

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 Suite Intermediate

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

Tableau / Power BI Intermediate

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.

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 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.

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.

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.

7Would you like it

Both sides. 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).

8Who 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)

9What 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.

10What 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.

11Staying 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.

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 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

13What you’ll use

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

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
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.

15Where this role leads

The long view: This work can lead to roles such as marketing data scientist, or into managing a performance analytics function.

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.

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 Analytics, worked against Marketing Performance Specialist.

Digital Analytics Level 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

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.

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 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.

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 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 (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 (3-5 years in current role), depending on the skills you build.

What new skills matter most for a Marketing Performance Specialist?

Increasingly, Prompt Engineering for Marketing Analytics. These are the skills our record of this role lists as growing.

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.

Marketing Performance Specialist

Where should we send it?

Two short quizzes about you

Will AI change your work as a 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

One to one, on the work you already do

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

Want a read on where you stand?