UK

United Kingdom · Marketing · Principal/Manager (12-16 years)

Marketing Analytics Manager

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports5-8 reports
  • Reports toDirector of Marketing Analytics & Insights
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Head of Marketing Analytics · Senior Marketing Insights Manager · Marketing Intelligence Lead

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 3 of 19 standards
ATHE Level 4 Extended Diploma in Digital Marketing ATHE Ltd · Level 4 · covers 3 of 19 standards
City & Guilds Level 3 Diploma in Digital Marketing City and Guilds of London Institute · Level 3 · covers 3 of 19 standards
OCNLR Level 4 Certificate in Digital Marketing OCN London · Level 4 · covers 2 of 19 standards
OCNLR Level 4 Award in Digital Analytics OCN London · Level 4 · covers 2 of 19 standards
Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 5 of 19 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
AI Governance Fluency using AI responsibly
Change Fluency taking people through change
Your Plan Illustration

Built for Marketing Analytics Manager

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

  1. Digital Analytics OCN London · covers 3 of 19 standards Level 4
  2. Digital Business, Marketing Metrics and Analytics ATHE Ltd · covers 3 of 19 standards Level 4
  3. Digital marketing metrics and analytics City and Guilds of London Institute · covers 3 of 19 standards Level 3
  4. Digital Marketing Gateway Qualifications Limited · covers 5 of 19 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 Analytics Manager?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • AI-Driven Strategy & Adoption
  • Data Product Management for Analytics
Why each one is rising

The future skills this job leans on

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

What happens when you start

Next, a free account. We build your Marketing Analytics Manager plan as you set up, starting with the free Automation 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

A marketing analytics manager leads a team that turns raw marketing data into clear, workable strategies.

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) 360 / Adobe Analytics Expert

Leading platform selection, defining enterprise-wide measurement strategy, architecting data collection schemas, and overseeing advanced customisation and integration projects.

Tableau Server / Power BI Premium Expert

Managing platform governance, establishing best practices for the organisation, overseeing the creation of executive-level strategic dashboards, and ensuring data security and access.

Snowflake / Databricks Advanced

Designing and managing the marketing data warehouse schema, optimising query performance across the team, and establishing data governance policies for large datasets.

SQL (BigQuery, PostgreSQL, MS SQL) Expert

Reviewing complex queries written by your team, guiding on optimisation, and architecting data transformations for strategic reporting. You'll still write complex queries when needed, but mostly you're overseeing.

Salesforce / Marketo / Adobe Experience Cloud Advanced

Architecting the full marketing technology stack, defining the lead scoring model, and ensuring data integrity and flow across the customer lifecycle for strategic initiatives.

Anaplan / Pigment (Planning Platforms) Intermediate

Using dedicated financial/marketing planning platforms to model marketing mix, budget allocation, and long-range forecasting, often collaborating with Finance.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Team Hiring & Performance No authority. Provide input on candidate fit. No authority. Provide detailed feedback on candidates. Recommend hires, participate in final interviews. Provide performance feedback.
Analytics Roadmap & Priorities Execute assigned tasks. Escalate conflicts. Propose solutions for project tasks. Prioritise own work within projects. Lead workstream prioritisation. Influence project scope and timelines.
Technology & Tool Selection Use existing tools as directed. Suggest improvements to existing tools. Experiment with new features. Recommend new tools or upgrades for specific projects (e.g., a new A/B testing platform).
Data Governance & Quality Standards Follow established data quality guidelines. Identify and report data quality issues. Suggest minor improvements. Design and implement data validation processes for specific datasets. Propose data governance policies.

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.

ROAS/MROI Improvement
The measurable uplift in Return On Ad Spend (ROAS) or Marketing Return on Investment (MROI) directly attributable to your team's recommendations.
Target · Analytics-driven recommendations lead to a measurable 10% improvement in overall Marketing Return on Investment within 12 months.

Your team identifies an underperforming ad channel and recommends a reallocation of £100K. Post-implementation, we see a 12% increase in MROI for the reallocated budget, directly linked to your team's analysis.

Budget Influence & Reallocation
The percentage of the overall marketing budget that is reallocated or optimised based on your team's multi-touch attribution and performance analysis.
Target · Influence the reallocation of >15% of the annual marketing budget to higher-performing channels based on data-driven insights.

After a deep dive into Q1 performance, your team presents a clear case to shift £500K from Brand Awareness campaigns to Performance Marketing, resulting in a 18% budget reallocation based on your evidence.

Data-Driven Culture Adoption
The increase in the percentage of marketing campaigns that are launched with a clearly defined measurement framework, pre-campaign hypotheses, and success metrics.
Target · Increase the percentage of marketing campaigns launched with a pre-defined measurement framework from 50% to 90% within 18 months.

In Q2, 8 out of 10 new campaigns had a robust measurement plan from the start, up from 5 out of 10 in Q1, showing a clear shift in how teams approach campaign planning.

Team Productivity & Output
The efficiency and effectiveness of your analytics team in delivering high-quality, actionable insights and managing the analytics roadmap.
Target · Reduce average time-to-insight for key strategic questions by 20% through process optimisation and AI tool adoption.

A complex attribution analysis that previously took 6 weeks is now completed in 4.5 weeks, thanks to your team's improved methodologies and tooling, allowing for faster strategic pivots.

Strategic Influence & Credibility
Your ability to be seen as a trusted advisor by senior leadership, with your team's insights consistently informing strategic marketing decisions.
  • You're regularly invited to senior leadership strategy sessions. Your team's recommendations are frequently adopted without significant pushback. Other department heads proactively seek your team's input on their initiatives. You're asked to present directly to the Director of Marketing or even the C-suite on key performance trends.
Team Development & Retention
The growth and engagement of your direct reports, ensuring they feel supported, challenged, and see clear career progression.
  • Your direct reports consistently meet or exceed their performance goals. You have a low voluntary turnover rate within your team. Team members report high satisfaction in internal surveys regarding mentorship and growth opportunities. You're effectively developing individuals to take on more complex projects and leadership responsibilities.
Data Governance & Quality Leadership
Your oversight ensures the integrity and reliability of our marketing data, building trust in the numbers across the organisation.
  • Fewer instances of data discrepancies being flagged by stakeholders. Key data definitions are consistently applied across all reports and dashboards. Your team proactively identifies and resolves data quality issues before they impact decision-making. You're leading initiatives to improve our data infrastructure and collection processes.
Innovation & Future-Proofing
Your leadership in exploring and implementing new analytical methodologies, tools, and AI capabilities to keep our marketing analytics at the forefront.
  • Your team successfully pilots and integrates new AI tools for productivity. You introduce advanced modelling techniques (e.g., MMM) that provide deeper insights. You present a clear roadmap for evolving our analytics capabilities over the next 12-24 months. We're seen as an early adopter of valuable new technologies in the marketing analytics space.

7Would you like it

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

What people enjoy
Driving Strategic Impact

You'll be leading projects where the outcome directly influences multi-million-pound marketing budgets. Seeing your team's recommendations lead to a significant uplift in ROAS or customer acquisition will be a huge win.

Your team's attribution model helps shift £500K from one channel to another, leading to a 15% increase in lead quality. That's real impact.

Building & Developing a High-Performing Team

A big part of your day will involve mentoring, coaching, and empowering your analysts. You'll get a real buzz from seeing them grow, take on more responsibility, and deliver increasingly sophisticated work.

You help a junior analyst present their first complex analysis to senior leadership, and they nail it. That feeling of enabling someone's growth is incredibly rewarding.

Solving Complex Business Puzzles

You'll be tackling some of our toughest marketing questions – 'How do we accurately measure the ROI of brand advertising?' or 'What's the true lifetime value of a customer acquired via social media?'. These aren't easy, but finding the answers is deeply satisfying.

You architect a new customer segmentation model that uncovers a previously unknown high-value audience, leading to a new targeted campaign strategy.

What frustrates people
  • Attribution politics: Trying to get different marketing channel owners to agree on a fair attribution model for their budget.
  • Data quality battles: Constantly pushing for better data collection and governance across various marketing platforms.
  • Resource constraints: Having brilliant ideas but not enough budget or headcount to execute them all immediately.
  • Explaining statistical significance (again): When a marketer wants to roll out a 'winning' A/B test variant that isn't actually statistically significant.
  • Managing up: Translating complex technical challenges into clear business implications for senior leadership.
  • The 'quick' strategic request: Getting asked for a 'quick' analysis that actually requires weeks of deep-dive work from your team.
What this role does not give you
  • A purely hands-on individual contributor role – you'll be leading, not just doing.
  • A static, predictable environment – expect constant change and new challenges.
  • Complete control over all marketing decisions – you'll influence, not dictate.
  • An escape from stakeholder management and internal politics – it's part of the job at this level.

8Who you work with

This role directly shapes our marketing investment strategy and customer acquisition efforts. Your team's insights will inform budget allocation, campaign optimisation, and product messaging across the entire marketing department. Get it right, and we'll see measurable improvements in ROAS and customer lifetime value. Get it wrong, and we risk significant wasted spend and missed growth opportunities.

Inside the business
  • Director of Marketing
  • Head of Product Management
  • Sales Leadership
  • Finance Director
  • Head of Brand & Communications
Outside the business
  • External Marketing Agencies
  • Marketing Technology Vendors
  • Industry Peers (for benchmarking)

9What you need before you start

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

  • Proven experience (at least 5-8 years) leading and managing a team of analytics professionals, ideally within a marketing context.
  • Demonstrable track record of designing, implementing, and optimising complex marketing analytics solutions that have driven measurable business impact.
  • Expert-level proficiency in at least one major web analytics platform (GA4 360 or Adobe Analytics) and a leading data visualisation tool (Tableau or Power BI).
  • Advanced SQL skills, with experience in data warehousing concepts and schema design.
  • Strong understanding of statistical concepts relevant to A/B testing, attribution modelling, and predictive analytics.
  • Excellent communication and presentation skills, with a proven ability to translate technical findings into strategic recommendations for executive audiences.

10What to practise next

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

Advanced Data Architecture & Governance

As data volumes grow and privacy regulations tighten, understanding how to architect scalable, secure, and compliant data solutions becomes paramount. You'll need to guide your team in building robust data pipelines and ensuring data quality at scale.

Cloud Data Warehousing (e.g., GCP, AWS, Azure) · Data Lake vs. Data Warehouse · Data Lineage & Metadata Management · Data Security & Access Control

  • This quarter: Review our current data architecture documentation and identify potential bottlenecks or areas for improvement.
  • Next quarter: Collaborate with data engineering to propose a new data governance framework for marketing data.
  • Month 6: Lead a project to implement a data lineage tool or process for our most critical marketing datasets.
  • Month 9: Present a long-term vision for our marketing data architecture, outlining key investments and strategic priorities.

Quick win: Start by documenting the flow of data for one key marketing metric, identifying all sources and transformations. It's often messier than you think.

Marketing Mix Modelling (MMM) & Econometrics

MMM provides a holistic view of marketing effectiveness, especially for offline channels and long-term brand building, which traditional digital attribution often misses. As a manager, you'll need to lead the adoption of these more sophisticated, top-down approaches.

Regression Analysis for Marketing · Media Effectiveness & Optimisation · Brand Equity Measurement · Scenario Planning with MMM

  • This quarter: Read up on the fundamentals of Marketing Mix Modelling and its application in modern marketing.
  • Next quarter: Identify a suitable external vendor or internal resource to explore building our first MMM.
  • Month 6: Oversee the data collection and preparation phase for an initial MMM pilot project.
  • Month 9: Work with your team to interpret MMM results and translate them into actionable budget recommendations for the next planning cycle.

Quick win: Start by gathering historical marketing spend data alongside key business metrics (sales, leads) to see what data you'd need for an MMM.

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences (e.g., Marketing Analytics Summit, eMetrics) to stay abreast of the latest trends and network with peers.
  • Participating in leadership development programmes or management training courses to hone your team-leading and strategic influence skills.
  • Engaging with online communities or forums dedicated to marketing analytics, data science, or specific tools (e.g., Looker Community, dbt Slack).
  • Subscribing to leading industry publications and research (e.g., Gartner, Forrester) to understand emerging technologies and market shifts.
  • Mentoring junior professionals outside your direct team, which helps solidify your own knowledge and leadership abilities.

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.

AI-Driven Strategy & Adoption

AI is fundamentally changing how we collect, analyse, and act on marketing data. As a manager, you'll need to identify strategic opportunities for AI, evaluate new tools, and lead your team in adopting these technologies effectively to boost productivity and insight generation.

  • AI Tool Integration
  • Prompt Engineering for Analytics
  • Ethical AI & Bias Detection
  • AI-Powered Predictive Modelling

Data Product Management for Analytics

As analytics becomes more central, the data outputs (dashboards, models, data feeds) are increasingly treated as 'products'. You'll need to apply product management principles to your team's work, ensuring insights are user-friendly, scalable, and meet stakeholder needs.

  • User-Centric Design for Dashboards
  • Analytics Product Roadmap
  • Feedback Loops & Iteration
  • Data Product Lifecycle

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Marketing Attribution Modelling (Strategic)
  • A/B & Multivariate Testing (Programmatic)
  • Customer Segmentation & LTV Analysis (Advanced)
  • Funnel Analysis & CRO (Strategic)
  • Data Cleansing & Validation (Governance)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Senior Marketing Analyst to Manager

    3-5 years as a Senior or Lead Analyst

    Skills to master

    • Leading complex analytical projects end-to-end, mentoring junior team members, presenting insights to senior stakeholders, and taking ownership of key analytical workstreams.

    You're ready to move on when

    • You've successfully led several high-impact analytics projects, from problem definition to recommendation and implementation support.
    • You've consistently provided informal mentorship to junior colleagues, helping them grow their skills and confidence.
    • You're regularly sought out by marketing stakeholders for your analytical perspective on strategic decisions.
    • You've demonstrated a proactive approach to identifying new analytical opportunities and improving existing processes.
  2. 2

    Analytics Consultant to Manager

    4-6 years in a consulting role, with a focus on marketing or business intelligence.

    Skills to master

    • Client management, project delivery, translating business requirements into analytical solutions, and experience in diverse industry contexts.

    You're ready to move on when

    • You've managed multiple client engagements, delivering impactful analytical solutions and building strong client relationships.
    • You're adept at quickly understanding new business contexts and identifying key analytical challenges.
    • You have experience leading small project teams and delegating tasks effectively.
    • You're comfortable presenting complex findings to senior client stakeholders and managing expectations.

15Where this role leads

The long view: This role can lead to positions such as VP of analytics or chief marketing technology officer, chief marketing officer, or head of data science.

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 Manager is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Digital Analytics, worked against Marketing Analytics Manager.

Digital Analytics Level 4

Applied to your work in Marketing Analytics Manager

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. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Marketing Analytics Manager
  • Marketing Attribution Modelling (Strategic)
  • A/B & Multivariate Testing (Programmatic)
  • Customer Segmentation & LTV Analysis (Advanced)
  • Funnel Analysis & CRO (Strategic)
  • Data Cleansing & Validation (Governance)
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 Analytics Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director of Marketing Analytics & Insights (L6)

    3-5 years in the Marketing Analytics Manager role

    This is a significant step up, moving from managing a team to shaping the entire business unit's marketing strategy through insights. You'll own the full marketing tech stack and influence much larger budget allocations.

    • Marketing Technology (MarTech) Architecture & Vendor Management (strategic)
    • Advanced Econometric Modelling & Forecasting (strategic oversight)
    • Cross-functional Data Governance Leadership
    • M&A Due Diligence (analytics perspective)
Working with AI on the job

Working with AI

Where AI is starting to help

As a Marketing Analytics Manager, your time is precious. You should be setting strategy, mentoring your team, and influencing business decisions – not getting bogged down in repetitive data tasks. That's where AI comes in. We're not just talking about buzzwords; we're talking about practical tools that genuinely make your team (and you) more productive.

We're building an AI Productivity Hub specifically for our Marketing Analytics team. It's a curated set of tools and best practices designed to automate the tedious bits, amplify your team's insights, and free up valuable time. Think of it as your secret weapon for scaling impact without scaling headcount.

Automated Insight Generation & Summaries

Use AI to automatically summarise complex weekly or monthly performance reports, highlighting key trends, anomalies, and potential drivers. It can even draft initial commentary for your executive briefings, saving your team hours and ensuring you're always on top of performance without deep diving into every dashboard yourself.

Advanced Anomaly & Pattern Detection

Feed large marketing datasets into AI models to quickly spot unusual spikes, dips, or subtle patterns that human eyes might miss. This helps your team proactively identify issues (like a broken tracking pixel) or uncover hidden opportunities (like a niche audience segment performing exceptionally well), allowing you to focus on the 'why' and 'what next'.

SQL & Code Optimisation

Your team can use AI assistants to generate complex SQL queries from plain English requests, debug existing code, and even suggest optimisations for slow-running scripts. This accelerates data extraction and transformation, meaning your analysts spend less time coding and more time analysing, and you spend less time reviewing their code.

Data Dictionary & Documentation Automation

When your team builds new models or dashboards, AI can auto-generate clear, consistent definitions for metrics, dimensions, and data sources. This creates a living data dictionary, ensuring everyone (from junior analyst to CMO) understands what the numbers mean, reducing confusion and improving data literacy across the department. You'll have a single source of truth, without the manual effort.

Common questions

Common questions

How do you become a Marketing Analytics Manager?

Common routes in include Senior Marketing Analyst to Manager (3-5 years as a Senior or Lead Analyst) and Analytics Consultant to Manager (4-6 years in a consulting role, with a focus on marketing or business intelligence.). Times vary with prior experience.

Where can a Marketing Analytics Manager progress to?

This role can lead on to Director of Marketing Analytics & Insights (3-5 years in the Marketing Analytics Manager role), depending on the skills you build.

What new skills matter most for a Marketing Analytics Manager?

Increasingly, AI-Driven Strategy & Adoption and Data Product Management for Analytics. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

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

Or try another one

17Where to go from here

Other roles at Level 5

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

 More jobs in marketing

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

Marketing analytics is a growing field. Skills in data strategy, team leadership and turning insight into commercial impact carry across industries, from e-commerce and SaaS to finance and healthcare.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free Automation 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.