UK

United Kingdom · Finance roles · Entry Level (0-2 years)

Junior Management Information Assistant (Finance)

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 toMI Assistant (Finance)
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior MI Analyst · Finance Data Assistant · Reporting Assistant (Finance)

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 Management Information Assistant (Finance)

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 numbers, making sure our financial reports are spot-on. You'll be the person pulling the data, doing the first pass of checks, and generally making life easier for the more senior folk. Think of it as learning the ropes of financial data from the ground up. You'll be helping us understand where the money's going and how we're performing, which is pretty crucial stuff, frankly.

2What you'd actually use

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

Microsoft ExcelAdvanced

You'll be using Excel constantly for data cleaning (Power Query), complex lookups (XLOOKUP, INDEX(MATCH)), building pivot tables, and generally manipulating financial data. You should be comfortable with a wide range of formulas and functions.

SQL (via SSMS, DBeaver)Intermediate

You'll be writing SELECT statements with JOINs and WHERE clauses to pull specific data from our financial data marts. This isn't about designing databases, but efficiently getting the data you need.

Power BI / TableauIntermediate

You'll be refreshing existing dashboards, building simple reports from already clean data sets, and using filters and slicers to answer specific questions. You won't be building complex models from scratch, but you'll be a confident user.

SAP S/4HANA / Oracle NetSuite / Microsoft Dynamics 365 F&OBasic

You'll navigate specific modules (like Financial Accounting or Controlling) to extract standard reports and find source data for reconciliations. It's about knowing where to find the numbers you need.

3What you get to decide, and how that grows

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

The choiceComing inWhere you are nowThe step above
Data Extraction & QueryingUse pre-defined queries and templates. Escalate any need for new or modified queries.Independently write basic SELECT statements with JOINs and WHERE clauses.Design complex queries, stored procedures, and optimise for performance.
Report Content & FormatFollow existing templates and formats. Propose minor formatting improvements to supervisor.Adapt existing report templates to new requirements. Propose new visualisations.Design and build new reports/dashboards from scratch, defining content and structure.
Data Reconciliation DiscrepanciesIdentify discrepancies and escalate to supervisor for investigation and resolution.Investigate root cause of common discrepancies and propose solutions to supervisor.Independently resolve complex discrepancies and implement preventative measures.
Process ImprovementIdentify inefficiencies in your own tasks and suggest improvements to supervisor.Propose and implement minor process improvements for routine tasks.Lead initiatives to automate and optimise significant reporting processes.

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.

Standard Report Timeliness
How quickly you get those regular reports out the door once the data's available.
Target · 98% delivered on schedule

If we need the weekly sales report by Tuesday 10 AM, you'll have it ready by then, every time. Missing two deadlines in a month would mean you're below target.

Data Reconciliation Accuracy
The number of errors you make when matching up numbers from different systems.
Target · <0.1% error rate

You're reconciling 1,000 transactions between the GL and a sub-ledger. Finding more than one error that you introduced or missed would put you over target.

Query Resolution Time (Basic)
How quickly you acknowledge and resolve simple data queries from your immediate team.
Target · Acknowledge within 4 hours, resolve within 24 hours

If your manager asks 'Where did this number come from?' at 9 AM, you'll reply by 1 PM, and have the answer by 9 AM the next day, assuming it's a straightforward query.

Data Entry & Validation Errors
The number of mistakes in any manual data entry or validation tasks you perform.
Target · Zero critical errors

When inputting budget figures into a template, any error that impacts the final calculation by more than £100 would be considered critical.

Learning & Application
How quickly you pick up new processes and tools, and then actually use them correctly.
  • You'll be asking smart questions, taking good notes, and then applying what you've learned without needing constant reminders. Your manager will notice you're able to complete tasks independently after initial training, rather than needing hand-holding for the same thing repeatedly.
Proactive Problem Spotting
Noticing when something looks a bit off in the data, even if it's not strictly your job to fix it.
  • You'll flag an unusual variance in a report you're preparing, even if you don't know the 'why' yet. You might say, 'This month's travel expenses look really high compared to last month – should I dig into that?' before being asked.
Team Support & Collaboration
How well you fit into the team and help out where needed, especially during busy periods.
  • You'll offer to help a colleague if you finish your tasks early, particularly during month-end. You'll contribute positively in team meetings and be open to feedback. Your team members will say you're easy to work with and reliable.
Documentation Adherence
Following our existing guides and templates for how we do things.
  • Your work will consistently follow the established naming conventions for files, use the correct report templates, and you'll update any process notes when you learn something new (with guidance, of course). This shows you value consistency.

5Would you like it

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

What people enjoy
Mastering the Details

You'll get a real kick out of making sure every number in a report is correct, and that a reconciliation balances perfectly. You'll enjoy the challenge of finding that one tiny error that's throwing everything off.

Spending an hour meticulously checking a spreadsheet and finding a formula error that no one else spotted, then fixing it and seeing everything balance out.

Learning How Finance Works

You're genuinely curious about the mechanics of a finance department – how the numbers flow, what each report means, and why certain processes exist. You'll ask questions to understand the bigger picture.

Asking your manager why a particular journal entry is made at month-end, rather than just processing it, to understand its impact on the P&L.

Contributing to Accuracy

You'll feel a sense of pride knowing that the reports you've helped put together are accurate and reliable, forming the basis for important business decisions. You value being a trusted source.

Seeing a report you helped prepare being presented in a management meeting, knowing that your careful data work made it reliable.

What frustrates people
  • Dealing with messy source data – it's often 'garbage in, garbage out', and you'll be the one cleaning up the garbage.
  • The 4 PM 'urgent' request – someone senior needs a report for tomorrow morning, completely derailing your planned work.
  • Repetitive tasks – some parts of the job are just about doing the same thing accurately, over and over.
  • Waiting for others – sometimes your work will be held up because you're waiting for a colleague to provide data or commentary.
What this role does not give you
  • High-level strategic decision-making from day one – you'll be supporting it, not leading it.
  • Constant variety and entirely new challenges every day – there's a rhythm to finance, especially at month-end.
  • The glamour of presenting to the board – you'll be making sure the numbers for those presentations are correct, though.

6Who you work with

Your work, though foundational, is critical. Accurate data means our financial reports are trustworthy. If you miss a key data point or make a mistake in a reconciliation, it can ripple up, causing senior analysts to waste time fixing things or, worse, leading to incorrect financial insights. Essentially, you're the first line of defence against bad data impacting business decisions.

Inside the business
  • MI Assistant (Finance)
  • Senior MI Analyst (Finance)
  • Financial Accountants
  • Cost Centre Managers

7What you need before you start

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

  • Strong numerical reasoning skills – you should be comfortable working with numbers, spotting patterns, and identifying anomalies.
  • Proven ability to use Microsoft Excel at an advanced level (Power Query, pivot tables, complex formulas).
  • Some exposure to data extraction using SQL or similar query languages (even if basic).
  • A genuine interest in finance and how businesses use data to make decisions.
  • A track record of high accuracy and attention to detail in previous roles or academic projects.

8What to practise next

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

Data Storytelling & Visualisation

It's not enough to just produce numbers; you need to tell a compelling story with them. Business leaders are swamped with data, so presenting it clearly, concisely, and with a narrative is becoming absolutely critical. It helps them actually understand and act on the insights.

Principles of effective data visualisation (e.g., · Structuring a narrative around data (e.g., problem · Understanding your audience and tailoring your mes · Using tools like Power BI or Tableau to create eng

  • This week: Pay attention to how senior analysts present their data. What works? What doesn't?
  • This month: Take an online course on data visualisation best practices (e.g., on Coursera or LinkedIn Learning).
  • Month 2: Try to re-design one of our existing standard reports to be more visually appealing and tell a clearer story.
  • Month 3: Ask for feedback on your visualisations from your manager or a senior analyst.

Quick win: When you're building a report, think about the one key message you want to convey. Can you make that message obvious with a single chart?

Basic Python for Finance

Python is becoming the go-to language for automating repetitive tasks, handling large datasets, and even building more sophisticated financial models. It's more powerful and flexible than Excel for many tasks, and knowing it will open up a lot of doors.

Basic Python syntax and data structures (lists, di · Using libraries like 'pandas' for data manipulatio · Writing simple scripts to automate data extraction · Understanding version control with Git (basic conc

  • This week: Start a free online Python course (e.g., Codecademy, DataCamp). Focus on the basics.
  • This month: Learn the 'pandas' library and try to import a CSV into a DataFrame.
  • Month 2: Write a small Python script to automate a repetitive data cleaning task you do in Excel.
  • Month 3: Explore how to connect Python to our SQL databases to pull data directly.

Quick win: Install Python and Jupyter Notebook. Try to write a script that reads a simple Excel file and prints its contents.

9Staying current once you are in

What people here do to keep up
  • Enrolling in online courses for SQL fundamentals or Python for data analysis (e.g., on DataCamp, Coursera).
  • Attending webinars or workshops on Power BI or Tableau to improve your dashboard skills.
  • Seeking out opportunities to learn more about our ERP system (SAP, Oracle, Dynamics) and how data flows through it.
  • Reading industry blogs or financial news to understand the broader context of the numbers you're working with.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering & LLM Integration (Basic)

Our competitors are already using AI like ChatGPT or Claude to draft reports, summarise data, and even help with basic analysis in minutes. Analysts who get good at this will be significantly more productive than those who don't. It's about working smarter, not just harder.

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

Your PlanIllustration

Built for Junior Management Information Assistant (Finance)

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

  1. Data AnalysisHighfield Qualifications · covers 1 of 4 standardsLevel 3
  2. Data analysis and data structure design 3Cambridge OCR · covers 1 of 4 standardsLevel 2
  3. Data Management SoftwareNCFE · covers 1 of 4 standardsLevel 3
  4. Data Management and AnalyticsGateway Qualifications Limited · covers 1 of 4 standardsLevel 2
  5. Data Management Software SkillsAIM Qualifications · covers 1 of 4 standardsEntry Level
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration (Basic)

Our competitors are already using AI like ChatGPT or Claude to draft reports, summarise data, and even help with basic analysis in minutes. Analysts who get good at this will be significantly more productive than those who don't. It's about working smarter, not just harder.

  • Understanding how to write clear, specific instruc
  • Recognising the limitations of AI and when not to
  • Using AI for summarisation, code generation, and f
  • Basic understanding of context windows and token l

What you’ll use

Skills this role draws on

Technical

  • Variance Analysis
  • Data Reconciliation
  • Period-End Close Process
  • Cost Centre & Profitability Analysis (Basic)

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

    University Graduate (Finance/Business)

    0-1 year post-graduation

    Skills to master

    • Practical application of theoretical knowledge, advanced Excel, basic SQL, understanding of real-world messy data.

    You're ready to move on when

    • Completed relevant internships or work placements.
    • Strong academic performance in quantitative modules.
    • Demonstrated ability to learn new software quickly.
  2. 2

    Apprenticeship in Finance/Data

    Completion of Level 3 or 4 apprenticeship

    Skills to master

    • Workplace professionalism, specific system knowledge, hands-on data manipulation, balancing study with work.

    You're ready to move on when

    • Positive feedback from apprenticeship mentors.
    • Successful completion of apprenticeship modules and projects.
    • Proactive in seeking out additional responsibilities.
  3. 3

    Entry-Level Data Role (non-Finance)

    1-2 years in a data entry, data admin, or junior analyst role

    Skills to master

    • Transferable data skills (Excel, SQL), attention to detail, understanding of data quality, eagerness to learn finance specifics.

    You're ready to move on when

    • Proven track record of accuracy and efficiency in data handling.
    • Expressed strong interest in transitioning into a finance-specific data role.
    • Basic understanding of financial concepts (e.g., through self-study).

11Where this role leads

The long view:Your journey here as a Junior MI Assistant is just the beginning. We're committed to helping you build a strong foundation and explore where your talents can take you. Whether you want to become a technical wizard, a strategic finance leader, or something else entirely, we'll provide the opportunities and support to help you get there.

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 Management Information Assistant (Finance) 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:

  • MI Assistant (Finance) (Level 2)

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:

Data AnalysisLevel 3

Applied to your work in Junior Management Information Assistant (Finance)

This unit aims to equip learners with the skills to collate and analyse data from various sources using appropriate techniques. Learners will be able to interpret data analysis results and create structured reports, effectively communicating key insights and recommendations using visual aids.

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 Management Information Assistant (Finance)

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.

  • Standard Report TimelinessHow quickly you get those regular reports out the door once the data's available.If we need the weekly sales report by Tuesday 10 AM, you'll have it ready by then, every time. Missing two deadlines in a month would mean you're below target.98% delivered on schedule
  • Data Reconciliation AccuracyThe number of errors you make when matching up numbers from different systems.You're reconciling 1,000 transactions between the GL and a sub-ledger. Finding more than one error that you introduced or missed would put you over target.<0.1% error rate
  • Query Resolution Time (Basic)How quickly you acknowledge and resolve simple data queries from your immediate team.If your manager asks 'Where did this number come from?' at 9 AM, you'll reply by 1 PM, and have the answer by 9 AM the next day, assuming it's a straightforward query.Acknowledge within 4 hours, resolve within 24 hours
  • Data Entry & Validation ErrorsThe number of mistakes in any manual data entry or validation tasks you perform.When inputting budget figures into a template, any error that impacts the final calculation by more than £100 would be considered critical.Zero critical errors
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 Management Information Assistant (Finance) to MI Assistant (Finance) (Level 2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ MI Assistant (Finance) (Level 2)→ your design
Where this takes you

Your journey here as a Junior MI Assistant is just the beginning. We're committed to helping you build a strong foundation and explore where your talents can take you. Whether you want to become a technical wizard, a strategic finance leader, or something else entirely, we'll provide the opportunities and support to help you get there.

See Your Progress GrowIllustration
Junior Management Information Assistant (Finance)
  • Variance Analysis
  • Data Reconciliation
  • Period-End Close Process
  • Cost Centre & Profitability Analysis (Basic)
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 Management Information Assistant (Finance) is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. MI Assistant (Finance) (Level 2)

    2-3 years in the Junior MI Assistant role

    You'll move from executing tasks under close supervision to independently owning a portfolio of standard reports and routine reconciliations.

    • Advanced SQL: Writing more complex queries, understanding performance implications.
    • Dashboard Development (Intermediate): Building simple dashboards from clean data sets in Power BI/Tableau.
    • Process Optimisation (Basic): Identifying small inefficiencies and proposing solutions for your own tasks.
    • Informal Mentorship: Guiding new junior team members on basic tasks.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, parts of finance can be a bit repetitive. But what if you could offload some of that grunt work to AI? We're not talking about replacing you, but giving you superpowers. Imagine getting through your data tasks faster, spotting issues earlier, and having more time for the interesting stuff.

Even at a junior level, AI tools are already here to help you. Think of them as your personal assistant for the tedious bits of data handling and reporting. You'll learn how to use these to make your day-to-day work smoother and more accurate, giving you a real edge.

Automated Reconciliation Bot

Imagine an AI script that automatically compares two big spreadsheets for you, flagging up every single difference and even guessing why it's different. You'll use this to slash the time you spend on manual reconciliations, letting you focus on fixing the root cause, not just finding the error.

Anomaly Detection & Insight Generation

Instead of manually scanning through thousands of rows of data, AI can highlight the weird stuff – a sudden spike in a specific expense, or a cost centre that's overspent unexpectedly. You'll get alerts, helping you spot issues quickly and ask the right questions.

First-Draft Commentary Writer

Got a standard report that needs a bit of narrative? AI can take your numbers (e.g., actuals vs. budget variance) and draft a basic summary for you. You'll then review it, add your own insights, and make it sound human. It's like having a writing assistant, saving you time and overcoming writer's block.

Intelligent Data Cleansing Assistant

Messy data is a fact of life. AI tools, often built into platforms like Power Query, can learn common errors (like 'Ltd' vs 'Limited') and suggest or even automate the cleaning and standardisation of your source data. This means less time on tedious fixes and more time on actual analysis.

Common questions

Common questions

How do you become a Junior Management Information Assistant (Finance)?

Common routes in include University Graduate (Finance/Business) (0-1 year post-graduation), Apprenticeship in Finance/Data (Completion of Level 3 or 4 apprenticeship) and Entry-Level Data Role (non-Finance) (1-2 years in a data entry, data admin, or junior analyst role). Times vary with prior experience.

Where can a Junior Management Information Assistant (Finance) progress to?

This role can lead on to MI Assistant (Finance) (Level 2) (2-3 years in the Junior MI Assistant role), depending on the skills you build.

What level is a Junior Management Information Assistant (Finance) 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 Management Information Assistant (Finance)?

Increasingly, Prompt Engineering & LLM Integration (Basic). 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 Management Information Assistant (Finance), 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 4 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 Management Information Assistant (Finance): 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 Finance roles

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

If you leave this industry

The skills you'll gain here – advanced Excel, SQL, BI tools, and a deep understanding of financial data – are highly transferable. You could move into data analytics roles in other industries, or specialise further in finance in different sectors like banking, insurance, or retail. Good data skills are always in demand.

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.