UK

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

Junior Marketing Database Analyst

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

Also advertised as Marketing Data Assistant · Campaign Operations Support · Junior CRM Analyst · Data Entry & Reporting Specialist (Marketing)

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 Junior Marketing Database Analyst

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 role is all about getting stuck into the nitty-gritty of our customer data. You'll be the person helping to pull the right lists for campaigns, making sure our data is clean, and running the reports that tell us how things are going. Frankly, it's where you learn the ropes of how a marketing database actually works, day-to-day. You're not just moving numbers around; you're making sure our messages hit the right people, which is pretty critical for our campaigns to land well.

2What you'd actually use

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

Salesforce Marketing Cloud (SFMC)Basic

Executing pre-built list pulls using Journey Builder or Automation Studio, updating data extensions, monitoring basic email sends.

SQL (PostgreSQL)Basic

Executing pre-written queries with `SELECT`, `WHERE`, `JOIN` clauses to extract data for ad-hoc requests and campaign lists.

Microsoft ExcelIntermediate

Proficient with VLOOKUP/XLOOKUP, Pivot Tables, and complex formulas for list manipulation, basic data cleaning, and preparing data for import.

Tableau DesktopBasic

Using existing dashboards to pull numbers for reports, applying filters, and creating basic worksheets from a pre-defined data source.

SnowflakeBasic

Connecting to Snowflake via a BI tool or SQL client to query existing views and understand basic table structures for data extraction.

Hightouch/Segment (Reverse ETL / CDP)Basic

Activating audiences that have been built by others, monitoring syncs for errors, and understanding the basic data flow from the warehouse to end-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
Campaign List GenerationExecutes pre-defined list pulls based on detailed instructions. Escalates any ambiguity or deviation from instructions to manager.Independently builds campaign lists from clear requirements. Consults manager on complex segmentation logic or new data sources.Designs and implements complex, multi-step segmentation logic. Makes technical decisions on data sources and query optimisation. Informs manager of potential campaign risks.
Data Quality & CleansingPerforms manual data cleansing tasks as instructed. Flags data anomalies to manager for review.Identifies data quality issues and proposes solutions for routine problems. Takes ownership of regular data hygiene processes.Designs and implements automated data cleansing processes. Defines data quality rules and metrics. Makes recommendations for data governance improvements.
Tool & Platform UsageUses existing tools (e.g., SFMC, Excel, Tableau) to perform assigned tasks. Learns new features under guidance.Independently uses core tools to achieve objectives. Explores new functionalities and proposes their use for efficiency gains.Evaluates new features and tools for adoption. Designs complex workflows within platforms. Mentors others on best practices for tool usage.

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.

List Pull Accuracy
The percentage of campaign lists you generate that perfectly match the specified criteria, without any incorrect inclusions or exclusions.
Target · >99.5% accuracy

You pull a list for 'customers who bought Product X in the last 6 months'. The list should only contain those customers, and none who bought Product Y instead. If 10,000 records are pulled, no more than 50 should be incorrect.

Report Timeliness
How quickly you deliver ad-hoc data requests and routine reports once they've been assigned to you.
Target · All ad-hoc requests within 24 hours, routine reports on schedule

A campaign manager asks for a list on Tuesday morning, and you deliver it by Wednesday morning. Your weekly campaign performance report is ready every Monday by 10 AM.

Data Cleansing Rate
The volume of data records you process and clean (e.g., de-duplicating, standardising formats, correcting errors) within a given period.
Target · Processes and cleans 5,000+ records per month

You take a messy import file of 7,000 new leads, de-duplicate it against our existing database, standardise all the country codes, and correct 500 email format errors, getting it ready for import.

Data Import Error Rate
The percentage of errors or rejections encountered when you import new data into our marketing database or CRM.
Target · <1% error rate on imports

You're importing 1,000 new leads. If 10 or fewer records fail to import due to formatting issues or duplicates you missed, you're hitting the target.

Documentation Quality
How clear, comprehensive, and up-to-date your documentation is for list pulls, data processes, and common queries.
  • Your colleagues can easily follow your steps to recreate a list or understand a data process without needing to ask you questions. New joiners find your notes genuinely helpful for learning. We'll see this in fewer questions coming your way about 'how did you get that number?'
Proactive Issue Spotting
Your ability to notice potential data issues or anomalies before they become bigger problems for campaigns.
  • You flag unusual drops in list sizes or odd data values during a pull, rather than just delivering the list. You might say, 'This list for Q3 is 20% smaller than Q2, which seems odd – should I investigate why?'
Learning & Application
How quickly you pick up new tools, database concepts, and internal processes, and then apply them to your daily tasks.
  • You're asking smart questions about SQL queries, showing you're trying to understand the 'why', not just the 'how'. You start using new features in Salesforce Marketing Cloud after a training session without needing constant reminders. You're showing improvement in the complexity of tasks you can handle independently over time.

5Would you like it

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

What people enjoy
Solving Puzzles & Fixing Things

You get a real kick out of finding the root cause of a data discrepancy or figuring out why a complex list pull isn't quite right. The satisfaction comes from making order out of chaos.

Spending an hour debugging a SQL query that returns too many records, finally finding the missing `AND` clause, and seeing the perfect list appear.

Making a Tangible Impact

You like knowing that your careful work directly contributes to successful marketing campaigns, seeing your clean data turn into real results.

Knowing that the carefully segmented list you pulled led to a higher conversion rate for a specific email campaign.

Continuous Learning & Mastery

You're keen to learn new SQL functions, understand how Salesforce Marketing Cloud really works, and become genuinely good at managing marketing data. You're always looking for a better way to do things.

Voluntarily digging into the documentation for a new feature in our CRM or asking the Database Marketing Manager how they'd approach a tricky data problem.

What frustrates people
  • The 'Garbage In, Garbage Out' Reality: You'll spend a lot of time cleaning messy, inconsistent data that's come from other teams or legacy systems before you can even start your actual work.
  • The Last-Minute 'Simple' Request: Expect those 4:30 PM Friday Slack messages asking for a 'quick list pull' that actually takes hours of data digging.
  • Blame for Bad Creative: Meticulously building the perfect audience segment, only for the campaign to underperform due to a poor subject line or offer, and then being asked if your targeting was off.
  • Repetitive Data Entry/Checks: Some days will just be about verifying thousands of records, which isn't always the most exciting work.
What this role does not give you
  • Immediate strategic decision-making – you'll be executing, not setting strategy.
  • Constant novelty – there's a fair bit of routine work involved in data hygiene and standard reporting.
  • Direct customer interaction – your impact is behind the scenes, through the data.

6Who you work with

This role directly impacts the efficiency and effectiveness of all our digital marketing campaigns. By ensuring accurate targeting and clean data, you help reduce wasted spend, improve customer experience, and ultimately, contribute to our overall marketing ROI. Simply put, without accurate data, our campaigns are just guesswork, and that's not how we operate.

Inside the business
  • Campaign Managers (they need your lists!)
  • Marketing Operations Team (your immediate colleagues)
  • Data Analysts (you'll help them get the raw data)
  • Sales Team (they'll complain if you send offers to their key accounts)
Outside the business
  • Email Service Providers (like Salesforce Marketing Cloud)
  • Data Quality Vendors (the tools we use to clean data)

7What you need before you start

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

  • Strong foundational skills in Microsoft Excel, including VLOOKUPs, Pivot Tables, and complex formulas.
  • Some exposure to SQL (even basic online courses count!) and an understanding of how databases work.
  • A genuine curiosity about data and how it can be used to drive marketing decisions.
  • Excellent attention to detail – we can't stress this enough.
  • A proven ability to follow instructions accurately and meticulously.
  • Strong written and verbal communication skills in English.

8What to practise next

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

Advanced SQL Querying

As our data grows and campaign requirements become more complex, you'll need to write more sophisticated queries to pull exactly what's needed, efficiently.

Common Table Expressions (CTEs) · Window Functions · Subqueries · Query Optimisation Basics

  • This week: Ask your manager for examples of more complex queries and try to understand them.
  • This month: Complete an online course on intermediate SQL (e.g., on DataCamp or Udemy).
  • Month 2: Try to rewrite a simple query using a CTE or a subquery.
  • Month 3: Propose an optimisation for a frequently run basic query.

Quick win: Start by simply reading and trying to understand the SQL queries your manager or senior colleagues use for more complex tasks. Don't be afraid to ask 'why did you do it that way?'

Marketing Automation Platform Mastery (SFMC)

To move beyond basic list pulls, you'll need to understand how the platform truly works to build more sophisticated campaigns and troubleshoot issues independently.

Data Extension Design · Journey Builder Logic · Automation Studio Activities · Basic AMPScript

  • This week: Explore the SFMC documentation for Data Extensions and Journey Builder.
  • This month: Complete the 'Email Specialist' or 'Administrator' trails on Salesforce Trailhead.
  • Month 2: Try to build a simple, multi-step journey in a sandbox environment.
  • Month 3: Shadow a senior colleague as they troubleshoot a complex SFMC issue.

Quick win: Spend 30 minutes each week just clicking around SFMC, exploring areas you haven't seen before. You'll be surprised what you find.

9Staying current once you are in

What people here do to keep up
  • Regularly complete modules on Salesforce Trailhead, especially those related to Marketing Cloud data and automation.
  • Take online courses in SQL (PostgreSQL specifically) to deepen your querying skills.
  • Participate in data-focused webinars or local meetups to learn from others in the industry.
  • Read industry blogs and articles on marketing data best practices and privacy regulations (like GDPR updates).
  • Seek out mentorship from more senior analysts or data specialists within the 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 & Basic LLM Interaction

AI assistants are quickly becoming standard for drafting emails, summarising documents, and even helping with basic code. Learning to talk to them effectively will be a huge time-saver.

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

Your PlanIllustration

Built for Junior Marketing Database Analyst

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

  1. Digital MarketingGateway Qualifications Limited · covers 3 of 8 standardsLevel 2
  2. Analyse market research dataCity and Guilds of London Institute · covers 2 of 8 standardsLevel 3
  3. Marketing ResearchAQA Education · covers 2 of 8 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 & Basic LLM Interaction

AI assistants are quickly becoming standard for drafting emails, summarising documents, and even helping with basic code. Learning to talk to them effectively will be a huge time-saver.

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

What you’ll use

Skills this role draws on

Technical

  • RFM Analysis (Recency, Frequency, Monetary)
  • Customer Lifetime Value (CLV) Concepts
  • Data Governance & Hygiene Principles
  • Segmentation & Targeting Basics

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 Intern / Apprentice

    6-12 months

    Skills to master

    • Basic data entry, CRM navigation, understanding marketing campaign lifecycles, following strict processes.

    You're ready to move on when

    • Consistently accurate data handling in previous roles.
    • Demonstrated ability to learn new software quickly.
    • Positive feedback on attention to detail and reliability.
  2. 2

    Data Entry Specialist (any industry)

    1-2 years

    Skills to master

    • High-volume data processing, error checking, using various database systems, understanding data integrity.

    You're ready to move on when

    • Experience with large datasets and meticulous data validation.
    • Strong organisational skills and ability to manage repetitive tasks.
    • Interest in applying data skills specifically to marketing.
  3. 3

    Customer Service Representative (with data focus)

    1-2 years

    Skills to master

    • Understanding customer records, using CRM systems, identifying data discrepancies, problem-solving customer issues through data.

    You're ready to move on when

    • Familiarity with customer data and CRM systems.
    • A knack for identifying and resolving data-related customer problems.
    • Desire to move into a more analytical, backend role.

11Where this role leads

The long view:Your journey starts here, learning the critical foundations of data-driven marketing. With dedication and a thirst for knowledge, you can build a truly impactful career in this exciting field.

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 Junior Marketing Database Analyst 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

The record names a next step, but the catalogue has no page for it yet:

  • Marketing Database Specialist (L2)

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 MarketingLevel 2

Applied to your work in Junior Marketing Database Analyst

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

How the thinking builds
  1. 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 Junior Marketing Database Analyst

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.

  • List Pull AccuracyThe percentage of campaign lists you generate that perfectly match the specified criteria, without any incorrect inclusions or exclusions.You pull a list for 'customers who bought Product X in the last 6 months'. The list should only contain those customers, and none who bought Product Y instead. If 10,000 records are pulled, no more than 50 should be incorrect.>99.5% accuracy
  • Report TimelinessHow quickly you deliver ad-hoc data requests and routine reports once they've been assigned to you.A campaign manager asks for a list on Tuesday morning, and you deliver it by Wednesday morning. Your weekly campaign performance report is ready every Monday by 10 AM.All ad-hoc requests within 24 hours, routine reports on schedule
  • Data Cleansing RateThe volume of data records you process and clean (e.g., de-duplicating, standardising formats, correcting errors) within a given period.You take a messy import file of 7,000 new leads, de-duplicate it against our existing database, standardise all the country codes, and correct 500 email format errors, getting it ready for import.Processes and cleans 5,000+ records per month
  • Data Import Error RateThe percentage of errors or rejections encountered when you import new data into our marketing database or CRM.You're importing 1,000 new leads. If 10 or fewer records fail to import due to formatting issues or duplicates you missed, you're hitting the target.<1% error rate on imports
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 Junior Marketing Database Analyst to Marketing Database Specialist (L2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Marketing Database Specialist (L2)→ your design
Where this takes you

Your journey starts here, learning the critical foundations of data-driven marketing. With dedication and a thirst for knowledge, you can build a truly impactful career in this exciting field.

See Your Progress GrowIllustration
Junior Marketing Database Analyst
  • RFM Analysis (Recency, Frequency, Monetary)
  • Customer Lifetime Value (CLV) Concepts
  • Data Governance & Hygiene Principles
  • Segmentation & Targeting Basics
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

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

  1. Marketing Database Specialist (L2)

    2-3 years in current role

    Intermediate

    • Complex SQL Querying: Writing queries from scratch using CTEs, window functions, and subqueries.
    • Advanced SFMC Usage: Designing and building new data models and audiences for activation, debugging sync failures.
    • Basic Python (pandas): Writing simple scripts for data manipulation and automation.
    • A/B Test Design: Understanding how to set up and analyse basic A/B tests from a data perspective.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, a lot of database marketing work can be repetitive. But what if you could offload some of that grunt work to AI? We're not talking about replacing you, but giving you a seriously smart assistant. Imagine cutting down on the tedious tasks and freeing up your time for more interesting, impactful work.

In this role, you'll be at the forefront of using AI to make your daily tasks smoother and more efficient. We're talking about automating reports, getting smarter insights from your data, and even helping you write better documentation. It's about working smarter, not just harder, and we'll show you how.

Automated Performance Reporting

Use AI tools to automatically generate and distribute weekly campaign performance summaries. The AI can pull data from Salesforce Marketing Cloud and Tableau, spot key trends, and even draft the initial summary email for your manager. This means less time wrestling with spreadsheets and more time understanding the 'why'.

Predictive Segmentation & Churn

Leverage AI models to analyse customer behaviour and identify those micro-segments most likely to convert or, crucially, to churn. This goes way beyond simple RFM analysis, finding non-obvious patterns that allow for really proactive, hyper-targeted campaigns. You'll be able to spot opportunities you might otherwise miss.

Rapid Regulation Summaries

When a new data privacy law like CPRA or a GDPR update comes out, use an AI assistant to quickly read through the lengthy legal text. It can then provide you with a concise summary of the key obligations and changes that impact our marketing data practices, complete with a handy checklist. No more wading through legal jargon for hours.

Data Dictionary & Process Docs

Feed an AI your database schema and SQL queries, and it can generate the first draft of your data dictionary or a step-by-step Standard Operating Procedure (SOP) for a complex list pull. It can even add explanations for non-technical colleagues, saving you loads of time on documentation that everyone needs but no one loves writing.

Common questions

Common questions

How do you become a Junior Marketing Database Analyst?

Common routes in include Marketing Intern / Apprentice (6-12 months), Data Entry Specialist (any industry) (1-2 years) and Customer Service Representative (with data focus) (1-2 years). Times vary with prior experience.

Where can a Junior Marketing Database Analyst progress to?

This role can lead on to Marketing Database Specialist (L2) (2-3 years in current role), depending on the skills you build.

What level is a Junior Marketing Database Analyst in the UK?

This role aligns to RQF Level 2 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 Junior Marketing Database Analyst?

Increasingly, Prompt Engineering & Basic LLM Interaction. 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 Junior Marketing Database Analyst, 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 8 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 Junior Marketing Database Analyst: 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 2

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 – particularly SQL, data hygiene, and understanding customer behaviour – are highly transferable. You could move into data analyst roles in other departments (e.g., Finance, Operations), or even specialise in CRM administration or business intelligence within other industries.

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.