UK

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

Financial Analyst

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 Financial Analyst, a good place to start on Prompt Engineering for Financial Analysis 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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One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Financial Analyst or FP&A Manager
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Management Accountant · Commercial Analyst · Junior FP&A Analyst

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

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 2 of 10 standards
BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 1 of 10 standards
CIWM (WAMITAB) Level 4 Diploma In Systems and Operations Management CIWM · Level 4 · covers 1 of 10 standards
iCQ Level 4 Diploma in Facilities Management iCan Qualifications Limited · Level 4 · covers 1 of 10 standards
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 1 of 10 standards

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

The units you would start with

Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Investment Business: Strategy, Clients and Commercial Performance CFA UK Level 3 Award in Investment Business: Strategy, Clients and Commercial Performance
Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts
Managing Finance in an Energy and Utilities Environment CIWM (WAMITAB) Level 4 Diploma In Systems and Operations Management
Manage a budget for own area or activity of work iCQ Level 4 Diploma in Facilities Management

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Your Plan Illustration

Built for Financial Analyst

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

  1. Data Analytics Primer NOCN · covers 2 of 10 standards Level 4
  2. Investment Business: Strategy, Clients and Commercial Performance CFA Society of UK · covers 1 of 10 standards Level 3
  3. Data Analysis BCS, The Chartered Institute for IT · covers 1 of 10 standards Level 4
  4. Managing Finance in an Energy and Utilities Environment CIWM · covers 1 of 10 standards Level 4
  5. Manage a budget for own area or activity of work iCan Qualifications Limited · covers 1 of 10 standards Level 4
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 Financial Analyst?

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

  • Prompt Engineering for Financial Analysis
  • Data Storytelling & Visualisation (Advanced)
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 Financial Analyst 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.

Ready to pay? Subscribe for £70 a month

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 financial analyst turns raw financial data into clear insights that support business decisions.

4What you'd actually use

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

Microsoft Excel Expert

You'll be living in Excel. This means VLOOKUP/XLOOKUP, INDEX/MATCH, PivotTables, and complex nested formulas are second nature. You can build clean, auditable workbooks and troubleshoot formula errors quickly. We're talking about building models, not just basic data entry.

ERP System (e.g., NetSuite, SAP Business One, MS Dynamics 365) Intermediate

You can pull standard reports, run saved searches, and navigate the chart of accounts to extract the data you need for your analysis. You understand how transactions flow through the system and can identify basic data inconsistencies.

BI & Analytics Tools (e.g., Power BI, Tableau) Intermediate

You can connect to clean data sources, build basic dashboards from templates, and manipulate filters and visuals to answer specific questions. You're comfortable interpreting existing dashboards and making minor adjustments.

FP&A Platform (e.g., Anaplan, Workday Adaptive Planning, Pigment) Basic

You can enter data into pre-built models, run standard reports, and understand the basic structure of the platform for your specific areas of responsibility. You're comfortable navigating the system and retrieving information.

Microsoft PowerPoint Proficient

You can create clear, professional presentation slides from templates, ensuring financial data is accurately and clearly represented. You'll be presenting your findings to internal teams and managers.

Collaboration Tools (e.g., MS Teams, Slack) Proficient

You use these daily to share files, communicate updates, participate in channel discussions, and join virtual meetings. You're comfortable using them to streamline your workflow and stay connected with the team.

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
Data Source Selection for Routine Reports Follows specific instructions from manager or senior analyst. Independently selects appropriate data sources (e.g., ERP, specific database) for standard reports, escalating if data integrity is questionable. Defines and validates data sources for new reporting requirements, often involving data governance considerations.
Variance Explanation & Root Cause Analysis Identifies the variance and flags it to a senior team member for explanation. Independently investigates the root cause of routine variances and drafts explanations for review by manager. Leads the investigation of complex variances, identifies business implications, and presents actionable insights to leadership.
Process Improvement Suggestions Identifies inefficiencies and suggests minor improvements to immediate supervisor. Proposes and, with manager approval, implements small-scale improvements to existing finance processes (e.g., Excel automation, report streamlining). Designs and champions significant process improvements across finance workstreams, potentially involving cross-functional teams.
Budget Reallocation (within department) No authority. Flags over/under-spend to manager. Recommends minor budget reallocations (e.g., up to £2,000) within a specific cost centre, requiring manager approval. Approves budget reallocations up to £5,000 within their managed workstreams, consulting with Director for larger amounts.

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.

Report Accuracy
The precision of your financial reports and analyses, ensuring all figures reconcile and are free from errors.
Target · 98% accuracy on all routine reports and reconciliations

Your monthly expense variance report for the Marketing team has zero discrepancies when cross-referenced with the general ledger. You caught a £5,000 misclassification before it hit the final numbers.

Timeliness of Deliverables
Meeting deadlines for recurring reports, month-end tasks, and ad-hoc analysis requests.
Target · 95% of all scheduled reports and assigned tasks delivered on or before deadline

You submit the Sales team's commission accrual report by Working Day 3 every month, allowing payroll to process on time. An urgent ad-hoc request for a project cost breakdown is delivered within the agreed 24-hour timeframe.

Forecast Variance Contribution
How accurately your input contributes to the overall forecast for specific expense lines or revenue streams you're responsible for.
Target · Individual forecast contributions within ±7% variance of actuals for assigned categories

You're responsible for forecasting our software licence costs. Your Q3 forecast was £150,000, and the actual spend came in at £158,000, which is a 5.3% variance – well within target.

Discrepancy Identification Rate
Your ability to proactively spot and flag inconsistencies, anomalies, or potential issues within the financial data you analyse.
Target · Identify at least 2 significant discrepancies or cost-saving opportunities per quarter

During your monthly review of travel expenses, you notice a recurring charge from an unapproved vendor, flagging it to your manager for investigation, potentially saving the company money.

Clarity of Communication
How well you explain complex financial concepts and report findings to non-finance colleagues, making the numbers understandable and actionable.
  • Business partners consistently understand your reports and explanations without needing extensive follow-up. You can simplify complex variance explanations into plain English during meetings. Your emails are clear, concise, and get straight to the point, avoiding jargon where possible.
Proactive Problem Solving
Your initiative in identifying potential issues or opportunities in the numbers before being asked, and proposing solutions or next steps.
  • You flag an emerging cost trend to your manager before it becomes a problem. You suggest an improvement to a reporting process that saves time. You don't just report a variance
  • you dig into the 'why' and suggest what we might do about it.
Process Improvement Contributions
Your willingness and ability to suggest and help implement small improvements to existing finance processes, making things more efficient or accurate.
  • You've suggested and helped implement a new Excel template that reduces manual data entry. You've documented a tricky reconciliation process, making it easier for the next person. Your input helps streamline month-end tasks, even if it's just a small part.
Stakeholder Feedback
The positive feedback you receive from internal business partners and your team regarding your helpfulness, responsiveness, and collaborative approach.
  • Business partners regularly thank you for your support or quick turnaround on requests. Your manager notes positive comments from other departments about your contributions. You're seen as a reliable and approachable member of the finance team.

7Would you like it

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

What people enjoy
Solving Puzzles

You love diving into a spreadsheet to figure out why numbers don't tie out, or tracing a variance back to its root cause. It's like a daily detective game, and you get a real kick out of finding the answer.

Spending an afternoon reconciling a tricky balance sheet account, finally finding the one missing journal entry that makes everything balance perfectly.

Seeing the Impact of Your Work

You're not just producing reports for the sake of it. You want to know that your analysis is actually being used to help the business make better decisions, whether it's optimising a budget or understanding a new product's profitability.

Your analysis on a specific cost centre helps a department head identify areas to cut spending, and you see those savings reflected in the next month's actuals.

Continuous Learning & Growth

You're always keen to learn new Excel functions, pick up more about our ERP system, or understand a new financial concept. You enjoy expanding your skillset and taking on slightly more complex tasks.

Volunteering to take a course on Power BI to improve your dashboard building skills, even if it's not immediately required for your core tasks.

What frustrates people
  • The 'Quick Question': Getting a seemingly simple request from a sales or marketing leader that actually requires hours of data pulling and modelling to answer accurately.
  • Garbage In, Garbage Out: Spending 60% of your time cleaning and reconciling messy data from the ERP or other source systems before you can even begin your actual analysis.
  • Last-Minute Assumption Changes: A manager changing a key assumption (e.g., new headcount, pricing) the night before a presentation, forcing a frantic remodel of your work.
  • Being the Scapegoat: Getting blamed when a forecast is inaccurate, even if the miss was due to operational failures or market shifts beyond your control.
  • The Relentless Cycle: The month-end, quarter-end, and year-end close process is a recurring treadmill that can feel like Groundhog Day if you're not careful.
What this role does not give you
  • Complete autonomy over strategic decisions – you'll be providing the data, not making the final call.
  • A quiet, predictable routine – expect urgent requests and shifting priorities.
  • An immediate path to senior leadership – you'll need to master the fundamentals first.
  • A role where you never have to deal with legacy systems or manual processes – some of that is just part of finance life.

8Who you work with

Your work directly supports our financial health. By providing accurate and timely financial information, you help us spot trends, manage costs, and make smart investments. Get it right, and we grow efficiently; get it wrong, and we could be flying blind on crucial decisions. It's about giving the business the numbers it needs to thrive.

Inside the business
  • Your immediate Finance team (Accountants, other Analysts)
  • Sales and Marketing Managers (they'll want to understand their budgets and spend)
  • Operations Leads (they'll need cost analysis for their projects)
  • Department Heads (for budget reviews and performance updates)
Outside the business
  • External auditors (you'll help them with data requests during audits)
  • Key vendors (occasionally, for specific cost analysis or contract reviews)

9What you need before you start

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

  • A strong foundational understanding of accounting principles, ideally gained through a degree or professional qualification.
  • Proven experience (2-5 years) in a finance role where you've regularly worked with financial data, built spreadsheets, and prepared reports.
  • Advanced Excel skills – we really mean advanced. You should be able to build and troubleshoot complex formulas and models.
  • Experience with at least one ERP system (e.g., NetSuite, SAP, MS Dynamics) for data extraction and basic reporting.
  • The ability to work independently on assigned tasks and take ownership of your deliverables, even when the data is a bit messy.

10What to practise next

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

Advanced BI Tool Proficiency (e.g., Power BI, Tableau)

As we rely more on self-service analytics, you'll need to move beyond just interpreting dashboards to actually building them. This means getting comfortable with data modelling within the BI tool itself.

DAX (Data Analysis Expressions) or LOD (Level of Detail) Expressions · Data Modelling & Relationships · Query Optimisation

  • This week: Explore the advanced features of our current BI tool. What can it do that you're not using?
  • This month: Try to build a simple dashboard from scratch using two different data sources.
  • Month 2: Take an online course specifically on DAX or LOD expressions, and apply it to a real-world problem.
  • Month 3: Present your new dashboard to your team and get feedback on its usability and insights.

Quick win: Instead of exporting data to Excel for every ad-hoc request, try to answer it directly within the BI tool by manipulating filters or creating a quick custom visual.

Basic Automation Scripting (VBA/Python for Finance)

Repetitive tasks are ripe for automation. While AI helps, knowing how to write simple scripts can save you hours each month, especially for Excel-based processes or data extraction.

VBA Macros · Python for Data Handling (pandas library) · API Basics

  • This week: Record a simple macro in Excel to automate a formatting task you do regularly.
  • This month: Find a free online tutorial for 'Python for Finance' or 'VBA for Excel' and complete the first few modules.
  • Month 2: Try to write a small Python script to clean and consolidate two small CSV files.
  • Month 3: Identify one repetitive task you do weekly and try to automate at least part of it using a script or macro.

Quick win: Automate a simple Excel report formatting task using a macro. It might take an hour to set up, but it'll save you 10 minutes every week, and that adds up!

11Staying current once you are in

What people here do to keep up
  • Enrolling in or continuing your studies towards a professional accounting qualification (CIMA, ACCA). We offer study support and time off for exams.
  • Attending industry webinars or workshops on financial modelling, data visualisation, or specific ERP system functionalities.
  • Taking online courses on advanced Excel, Power BI, or even introductory Python for finance to boost your technical toolkit.
  • Seeking out opportunities to present your analysis to different business units, improving your communication and business partnering skills.

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 Financial Analysis

Competitors are already using Large Language Models (LLMs) to draft reports in 10 minutes that used to take 2 hours. Analysts who figure this out will outproduce their peers significantly. It's about working smarter, not just harder.

  • Context Windows & Token Limits
  • Temperature Settings
  • Output Validation
  • Prompt Chaining

Data Storytelling & Visualisation (Advanced)

It's no longer enough to just present numbers; you need to tell a compelling story with them. Business partners are drowning in data, and they need someone who can cut through the noise and highlight what truly matters, quickly and visually.

  • Narrative Structure
  • Effective Chart Selection
  • Dashboard Design Principles
  • Audience Tailoring

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Three-Statement Financial Modelling (Basic-Intermediate)
  • Variance Analysis (Actuals vs. Budget vs. Forecast)
  • Rolling Forecasts & Scenario Planning (Contribution)
  • Management Accounting & Unit Economics (Basic)
  • Capital Budgeting (Support)
  • Finance Business Partnering (Developing)

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

    Junior Financial Analyst / Associate Analyst

    1-2 years

    Skills to master

    • Basic financial reporting, data reconciliation, foundational Excel skills, understanding of accounting principles, adherence to processes.

    You're ready to move on when

    • Consistently delivers accurate daily/weekly tasks with minimal supervision.
    • Proactively identifies and flags basic data discrepancies.
    • Demonstrates a solid grasp of core accounting concepts.
    • Can build and troubleshoot simple Excel formulas and reports.
  2. 2

    Graduate Finance Scheme

    2-3 years (rotational)

    Skills to master

    • Exposure to different finance functions (e.g., accounting, FP&A, treasury), project management basics, stakeholder engagement, foundational analytical skills.

    You're ready to move on when

    • Successfully completed rotations, demonstrating adaptability and quick learning.
    • Received positive feedback from managers across different finance departments.
    • Showed initiative in taking on more complex tasks within rotations.
    • Developed a broad understanding of the company's financial operations.
  3. 3

    Accounting Assistant / Bookkeeper

    2-4 years

    Skills to master

    • Detailed transactional processing, general ledger maintenance, month-end close procedures, understanding of financial controls, reconciliation expertise.

    You're ready to move on when

    • Mastered month-end close tasks and reconciliations, with high accuracy.
    • Demonstrated an ability to identify and resolve accounting discrepancies.
    • Expressed a clear interest in moving beyond transactional processing to analysis.
    • Developed strong organisational skills and attention to detail.

15Where this role leads

The long view: This role can lead to FP&A management, a finance director position, or a CFO role.

16Pay and demand

Pay & demand

Typical pay £50,330 a year Source: ONS Annual Survey of Hours and Earnings, 2025 (provisional), under the Open Government Licence v3.0

The figure is the median for full-time employees in the ONS occupation this job title codes to (Finance and investment analysts and advisers), from the April 2025 survey, about six months old when published, as ASHE always is. It is that occupation's middle, not this role's. Half earn more.

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 Financial Analyst 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 Data Analytics Primer, worked against Financial Analyst.

Data Analytics Primer Level 4

Applied to your work in Financial Analyst

This unit aims to equip learners with a foundational understanding of data analytics, including its applications and the stages of the data analysis lifecycle. Learners will explore various data types and structures, understand the role of data within an organisation, and recognise the importance of GDPR and compliance requirements in data handling.

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
Financial Analyst
  • Three-Statement Financial Modelling (Basic-Intermediate)
  • Variance Analysis (Actuals vs. Budget vs. Forecast)
  • Rolling Forecasts & Scenario Planning (Contribution)
  • Management Accounting & Unit Economics (Basic)
  • Capital Budgeting (Support)
  • Finance Business Partnering (Developing)
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.

17The 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

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

  1. Senior Financial Analyst (Level 3)

    3-5 years in the Financial Analyst role

    You'll move from owning specific reports and basic models to managing entire workstreams, leading projects, and building more complex financial models from scratch. You'll also start mentoring junior analysts.

    • Complex Financial Modelling (advanced scenario analysis, valuations)
    • Advanced BI Dashboard Creation (designing and building from multiple sources)
    • Process Optimisation (identifying and implementing significant improvements)
    • Presentation to Senior Leadership (articulating complex insights clearly)

  2. Finance Business Partner (Level 4)

    4-6 years in the Financial Analyst role (often after a Senior Analyst stint)

    This path shifts your focus more towards specific business units. You'll become the primary finance contact for a department, translating financial data into strategic advice and influencing operational decisions, rather than just reporting on them.

    • Unit Economics Deep Dive (specialising in a specific product/service profitability)
    • Investment Appraisal (evaluating business unit-specific projects)
    • Strategic Planning Support (helping a business unit define its financial strategy)
    • Cross-functional Project Leadership (leading initiatives with finance and business teams)
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of a Financial Analyst's job can be repetitive, time-consuming, and frankly, a bit tedious. But what if you could offload some of that grunt work to AI? We're not talking about replacing you; we're talking about making you incredibly more efficient and freeing you up for the interesting, strategic stuff.

Imagine spending less time wrestling with messy data or drafting routine reports, and more time actually analysing, interpreting, and influencing decisions. That's the promise of AI in finance, and we're actively exploring how to bring these tools into your daily workflow. Here's a glimpse of how AI could change your day-to-day as a Financial Analyst:

Automated Data Wrangling

Use AI-powered tools (like advanced features in Power Query or specialised platforms) to automatically extract, clean, and structure data from disparate sources. Think PDF invoices, scanned bank statements, or clunky legacy system exports – AI can get them into a usable format in minutes, saving you hours of manual copy-pasting and error-checking.

Anomaly Detection & Insight Generation

Leverage AI algorithms to scan millions of transactions and automatically flag anomalies, outliers, or emerging trends that a human eye might miss. Imagine being alerted to a sudden, unexpected spike in a specific expense category, or a subtle but significant shift in revenue patterns. This frees you up to investigate the 'why' rather than just trying to spot the 'what'.

Accelerated Market & Competitor Research

Need to understand what our competitors are doing, or get a quick summary of the latest economic forecasts? Use AI assistants to summarise competitor earnings calls, analyse market trend reports, and synthesise vast amounts of external data. You'll get key inputs for your forecasting and strategic planning in minutes instead of hours of manual reading.

Draft 'The Narrative' for Reports

One of the trickier parts of finance is writing the commentary that explains the numbers. Imagine feeding your structured variance data into a generative AI model to produce a first draft of your monthly management report commentary. The AI can highlight key drivers of performance, and you then refine it, add your business context, and make it truly insightful. It's a huge head start on a time-consuming task.

Common questions

Common questions

How do you become a Financial Analyst?

Common routes in include Junior Financial Analyst / Associate Analyst (1-2 years), Graduate Finance Scheme (2-3 years (rotational)) and Accounting Assistant / Bookkeeper (2-4 years). Times vary with prior experience.

Where can a Financial Analyst progress to?

This role can lead on to Senior Financial Analyst (3-5 years in the Financial Analyst role) and Finance Business Partner (4-6 years in the Financial Analyst role (often after a Senior Analyst stint)), depending on the skills you build.

What new skills matter most for a Financial Analyst?

Increasingly, Prompt Engineering for Financial Analysis and Data Storytelling & Visualisation (Advanced). 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

18Where to go from here

Other roles at Level 3

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

 More jobs in finance

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

The skills involved are transferable across most industries, from tech to large corporations and public sector bodies. Data analysis, financial modelling and business partnering are used in finance roles everywhere.

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 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.