UK

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

Operations BI 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 toBusiness Intelligence Analyst, Operations
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Data Analyst (Operations) · BI Support Analyst · Reporting Specialist (Operations)

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 Operations BI 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 isn't just about crunching numbers; it's about making sure our warehouses, production lines, and logistics run smoothly. You'll be the person digging into the data to help us understand what's actually happening on the ground, supporting the team that keeps everything moving. Think of it as being the eyes and ears for our operational leaders, but with data as your superpower.

2What you'd actually use

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

Advanced Excel (Power Query, PivotTables)Advanced

You'll be using VLOOKUP/XLOOKUP, PivotTables, and Power Query daily for data cleaning, transformation, and ad-hoc analysis. You should be able to build complex formulas and understand how to structure data effectively within Excel.

SQL (SELECT, JOIN, WHERE, GROUP BY)Intermediate

You'll write queries to extract specific data from our databases for reports and analyses. This means you can confidently use SELECT, JOIN, WHERE, and GROUP BY clauses to get the data you need.

BI Platforms (Tableau / Power BI)Intermediate

You'll be building reports and dashboards from existing data models, applying filters, and creating basic visualisations. You should be comfortable navigating these tools and making minor modifications to existing content.

ERP Systems (SAP S/4HANA / Oracle NetSuite)Basic

You'll need to know how to navigate the user interface of our ERP system to find and export relevant data, such as production orders, inventory levels, or sales orders, for your analysis.

Data Warehouse (Snowflake / Azure Synapse)Basic

You'll connect your BI tools to our data warehouse and query existing tables and views. You'll be a data consumer, understanding how to access the information 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 & ReportingExecute pre-defined queries, pull standard reports, and create basic visualisations from existing data models. All new queries or significant modifications require review.Independently write complex queries, build new dashboards from defined requirements, and propose new reporting approaches for routine operational metrics.Design and implement end-to-end reporting solutions for specific operational workstreams. Make technical decisions on data modelling and visualisation best practices.
Data Quality & ValidationIdentify and flag data quality issues to senior team members. Perform initial data cleaning following established guidelines.Propose and implement solutions for recurring data quality issues. Take ownership of data validation processes for specific operational datasets.Lead initiatives to improve data quality at the source, working with Operations teams. Define data quality standards and monitoring processes.
Tool & Methodology SelectionUse existing BI tools and methodologies as instructed. Learn new tools as required by the team.Suggest alternative tools or methodologies for specific analytical tasks, backed by research and a clear rationale.Make technical recommendations for new BI tools or advanced analytical methodologies within your workstream, justifying cost and impact.

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.

Report Data Accuracy
The percentage of standard reports you're responsible for that contain zero identified data errors after review.
Target · 99% accuracy

If you update 20 weekly reports, and only one contains a minor error that's caught before it goes out, that's 95% accuracy. We're aiming for near-perfection here.

Ad-hoc Request Turnaround Time
The proportion of urgent, ad-hoc data requests you complete within the agreed-upon service level agreement (SLA).
Target · 95% completed within 48 hours

If you get 10 requests in a month, and 9 of them are delivered within two working days, you're hitting the target. The 10th might have been more complex, but we'd expect a clear communication about the delay.

Proactive Data Quality Improvement
The number of identified data quality issues (e.g., missing values, incorrect formats) you proactively flag and help to resolve at the source, or document for future clean-up.
Target · Reduce identified errors by 10% quarter-on-quarter

You might spot that a specific machine in the factory is consistently sending 'null' values for temperature readings. Flagging this and working with the team to fix the sensor is a win.

Documentation Quality and Contribution
How well you document your processes, data sources, and report logic, ensuring others can understand and replicate your work.
  • Your documentation is clear, easy to follow, and kept up-to-date. Other team members can pick up your work without needing constant clarification. You contribute to our internal knowledge base without being asked.
Learning and Development Initiative
Your proactive approach to learning new tools, techniques, and understanding the operational context of the data you're working with.
  • You're asking smart questions about 'why' we measure something, not just 'what'. You're taking online courses, reading up on Operations concepts, and seeking feedback on your technical skills. You're not waiting for someone to tell you to learn.
Team Collaboration and Support
How effectively you work with and support your immediate BI team and the wider Operations stakeholders.
  • You're a reliable pair of hands, always willing to help out when someone needs it. You communicate clearly about your progress and any roadblocks. You're seen as someone who adds positively to the team environment.

5Would you like it

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

What people enjoy
Seeing Your Work Make a Real Impact

You'll get a kick out of knowing that the report you pulled this morning is helping a warehouse manager decide how many people to put on the picking line, directly affecting how fast orders get out the door. Your data isn't just sitting in a spreadsheet; it's driving decisions.

A logistics coordinator thanks you because your daily delivery report helped them re-route a truck, saving a day's delay for a critical customer shipment.

Learning and Developing New Skills

This role is a fantastic launchpad. You'll be constantly learning new SQL techniques, getting to grips with advanced BI tools, and understanding the nitty-gritty of how a large-scale operations business runs. There's always something new to master.

You're excited to tackle a new type of data transformation in Power Query, or you're keen to learn how to build a particular chart in Tableau that you saw a senior analyst create.

Working as Part of a Supportive Team

You'll be part of a team where people genuinely help each other out. You won't be left to sink or swim; there'll always be someone to ask for guidance, review your code, or just bounce ideas off. We believe in lifting each other up.

You're stuck on a complex SQL query, and a senior analyst sits with you for 30 minutes, walking you through the logic and helping you find the solution.

What frustrates people
  • Garbage In, Gospel Out: Being expected to produce perfectly accurate insights from source data captured by tired workers on greasy handheld scanners at the end of a 12-hour shift.
  • The Report Factory Treadmill: Getting buried under a mountain of ad-hoc requests for minor variations of the same report, preventing any time for strategic, value-added analysis.
  • The Moving Goalposts: Stakeholders who agree to a set of requirements, then change their minds completely after you've spent three weeks building the dashboard.
  • Data Latency: The constant frustration of data not being immediately available, meaning reports are always a little bit behind real-time operations.
What this role does not give you
  • Full autonomy over project direction (you'll be supporting, not leading, for a while).
  • A perfectly clean, pristine dataset to work with every day (the reality is messier).
  • Immediate exposure to high-level strategic decision-making (you'll build up to this).
  • A role where you only build new, exciting things (there's a lot of maintenance and support).

6Who you work with

Your work directly supports the foundational data integrity and reporting that underpins daily operational decision-making. Get it right, and the entire Operations department benefits from reliable insights, helping to minimise waste and improve efficiency. Get it wrong, and you could inadvertently cause delays or misallocations of resources, impacting our service levels and bottom line.

Inside the business
  • Immediate BI Team (L2 & L3 Analysts)
  • Warehouse Operations Managers
  • Production Line Supervisors
  • Supply Chain Planners
  • Logistics Coordinators

7What you need before you start

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

  • Demonstrable experience (0-2 years) in a data-focused role, even if it was as part of a university project or an internship.
  • A solid grasp of foundational data analysis principles, including how to calculate averages, percentages, and identify trends.
  • Proficiency in Advanced Excel (Power Query, PivotTables) and a good working knowledge of SQL.
  • A genuine curiosity about how businesses operate, especially within a fast-moving operational environment.

8What to practise next

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

Advanced SQL & Data Modelling

As you progress, you'll move beyond just querying data to understanding how data is structured and how to build efficient, scalable data models. This is crucial for creating robust and performant BI solutions.

CTEs (Common Table Expressions) · Window Functions · Star Schema & Snowflake Schema · Indexing & Query Optimisation

  • This quarter: Focus on understanding and using CTEs in your daily SQL work. Look for opportunities to refactor existing queries.
  • Next quarter: Take an online course specifically on advanced SQL, focusing on window functions and performance tuning.
  • Month 6: Start reviewing existing data models in our data warehouse and try to understand their structure and purpose.
  • Month 9: Propose a small improvement to an existing data model or query to improve its performance or readability.

Quick win: Whenever you write a SQL query, try to think about how you could make it more efficient or readable. Experiment with different ways to achieve the same result.

BI Platform Mastery (DAX / LOD Expressions)

Moving beyond basic dashboards, you'll need to create more complex calculations and aggregations directly within our BI tools. This allows for more sophisticated analysis and flexible reporting.

DAX (Data Analysis Expressions) · LOD Expressions (Level of Detail) · Performance Optimisation · Advanced Visualisation Techniques

  • This quarter: Pick one complex DAX measure or LOD expression that a senior analyst uses and try to recreate it from scratch, understanding each component.
  • Next quarter: Take an online course focused specifically on advanced DAX or Tableau LOD expressions.
  • Month 6: Start experimenting with different chart types and dashboard layouts to improve the storytelling aspect of your reports.
  • Month 9: Propose a new, more advanced visualisation for an existing operational metric.

Quick win: Whenever you see a complex calculation in a dashboard, spend 15 minutes trying to understand how it works. Don't be afraid to break it down and experiment.

9Staying current once you are in

What people here do to keep up
  • Participate in online data analytics courses (e.g., DataCamp, Coursera, Udemy) to continuously improve your SQL, Python (for data analysis), and BI tool skills.
  • Join relevant industry forums or communities (e.g., LinkedIn groups for Operations Analytics or BI professionals) to stay updated on trends and best practices.
  • Attend internal knowledge-sharing sessions or workshops on our operational processes to deepen your understanding of the business context.
  • Work on personal data projects that demonstrate your curiosity and ability to apply analytical techniques to real-world problems.

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)

Honestly, competitors are already using tools like ChatGPT and GitHub Copilot to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't future tech; it's happening now.

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

Your PlanIllustration

Built for Operations BI Analyst

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

  1. Data AnalysisHighfield Qualifications · covers 2 of 8 standardsLevel 3
  2. Data analysis and data structure design 3Cambridge OCR · covers 1 of 8 standardsLevel 2
  3. Data Analytics PrimerNOCN · covers 5 of 8 standardsLevel 4
  4. Data AnalyticsPearson Education Ltd · covers 5 of 8 standardsLevel 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.

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)

Honestly, competitors are already using tools like ChatGPT and GitHub Copilot to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't future tech; it's happening now.

  • Effective Prompting
  • Output Validation
  • Context Windows
  • AI for Code Generation

What you’ll use

Skills this role draws on

Technical

  • Lean / Six Sigma Methodologies (Basic Understanding)
  • Supply Chain Analytics (Foundational)
  • Operational Excellence (KPI Recognition)
  • Data Governance & MDM (Awareness)

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 (Quantitative Field)

    0-1 year post-graduation

    Skills to master

    • Translating academic knowledge into practical business problems, mastering our specific BI tools and data sources, understanding operational terminology.

    You're ready to move on when

    • Successfully completed a final year project involving data analysis.
    • Completed an internship in a data or operations role.
    • Can demonstrate strong SQL and Excel skills.
  2. 2

    Operations Coordinator / Administrator with Data Focus

    1-2 years in a previous operational role

    Skills to master

    • Formalising existing data analysis skills, learning advanced BI tools, understanding data governance and best practices.

    You're ready to move on when

    • Already building complex spreadsheets to manage operational data.
    • Proactively identifying data issues in their current role.
    • Expressed a clear interest in moving into a dedicated data role.
  3. 3

    Data Entry / Reporting Specialist

    1-2 years in a dedicated reporting or data entry role

    Skills to master

    • Moving beyond routine reporting to more analytical tasks, learning how to interpret data, and understanding the business context of the numbers.

    You're ready to move on when

    • Consistently delivers accurate reports on time.
    • Has started to automate parts of their current reporting process.
    • Asks 'why' about the numbers they're reporting, not just 'what'.

11Where this role leads

The long view:Your journey starts here, learning the ropes and building a rock-solid foundation. We're excited to see where you take it and how you help us improve our operations through the power of data.

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 Operations BI 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

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 Operations BI Analyst

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 Operations BI 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.

  • Report Data AccuracyThe percentage of standard reports you're responsible for that contain zero identified data errors after review.If you update 20 weekly reports, and only one contains a minor error that's caught before it goes out, that's 95% accuracy. We're aiming for near-perfection here.99% accuracy
  • Ad-hoc Request Turnaround TimeThe proportion of urgent, ad-hoc data requests you complete within the agreed-upon service level agreement (SLA).If you get 10 requests in a month, and 9 of them are delivered within two working days, you're hitting the target. The 10th might have been more complex, but we'd expect a clear communication about the delay.95% completed within 48 hours
  • Proactive Data Quality ImprovementThe number of identified data quality issues (e.g., missing values, incorrect formats) you proactively flag and help to resolve at the source, or document for future clean-up.You might spot that a specific machine in the factory is consistently sending 'null' values for temperature readings. Flagging this and working with the team to fix the sensor is a win.Reduce identified errors by 10% quarter-on-quarter
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 Operations BI Analyst to Business Intelligence Analyst, Operations (Level 2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Business Intelligence Analyst, Operations (Level 2)→ your design
Where this takes you

Your journey starts here, learning the ropes and building a rock-solid foundation. We're excited to see where you take it and how you help us improve our operations through the power of data.

See Your Progress GrowIllustration
Operations BI Analyst
  • Lean / Six Sigma Methodologies (Basic Understanding)
  • Supply Chain Analytics (Foundational)
  • Operational Excellence (KPI Recognition)
  • Data Governance & MDM (Awareness)
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

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

  1. Business Intelligence Analyst, Operations (Level 2)

    2-3 years in the Operations BI Analyst role

    This is the natural next step, where you'll start owning specific reports and dashboards end-to-end, taking on more responsibility for ad-hoc requests and small projects.

    • Advanced SQL (CTEs, Window Functions): You'll write more complex queries independently.
    • BI Tool Mastery (DAX/LOD): You'll build more sophisticated calculations and visualisations.
    • Basic Data Modelling: You'll understand how to structure data for efficient reporting.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of data work can be repetitive. Imagine having an intelligent assistant that handles the grunt work, freeing you up for the more interesting, impactful analysis. That's exactly what AI is doing for Operations BI, and you'll be at the forefront of using these tools from day one.

We're not just talking about 'future tech' here. We're actively integrating AI tools into our daily workflows to make our analysts more productive, accurate, and frankly, happier. As an Operations BI Analyst, you won't just learn traditional BI skills; you'll learn how to supercharge them with AI. This isn't about replacing you; it's about making you a data superhero.

Code Automation & Generation

Ever get stuck writing a complex SQL query or a tricky Excel formula? Our AI assistants (like GitHub Copilot or built-in AI in Excel) can generate the code for you. You'll describe what you need in plain English, and the AI drafts the code, which you then review and refine. It's like having an experienced programmer looking over your shoulder, 24/7.

Anomaly Detection Assistant

Instead of manually scanning through endless spreadsheets to spot unusual spikes or drops in operational metrics, AI can do it for you. Our systems will flag statistically significant anomalies in real-time (e.g., a sudden dip in production line output or an unexpected surge in returns), giving you a head start on investigating the 'why'.

Automated Performance Commentary

Drafting those weekly or monthly performance summaries can eat up hours. Imagine an AI model automatically writing the first draft of your commentary, highlighting key trends and suggesting potential drivers based on the dashboard data. You'll then review, add your human insights, and polish it up, saving you loads of time.

Natural Language Querying (NLQ)

No more waiting for a BI analyst to pull a simple report. With NLQ tools, operations managers can ask questions in plain English ('Show me outbound volume for customer X last month by carrier') and get instant charts and answers. This reduces the ad-hoc reporting burden on you, letting you focus on deeper analysis.

Common questions

Common questions

How do you become an Operations BI Analyst?

Common routes in include University Graduate (Quantitative Field) (0-1 year post-graduation), Operations Coordinator / Administrator with Data Focus (1-2 years in a previous operational role) and Data Entry / Reporting Specialist (1-2 years in a dedicated reporting or data entry role). Times vary with prior experience.

Where can an Operations BI Analyst progress to?

This role can lead on to Business Intelligence Analyst, Operations (Level 2) (2-3 years in the Operations BI Analyst role), depending on the skills you build.

What level is an Operations BI 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 an Operations BI Analyst?

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 an Operations BI 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 an Operations BI 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 Operations

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—data analysis, SQL, BI tools, and understanding operational efficiency—are highly transferable. You could move into other data-focused roles within Finance, Marketing, or Product, or even into more general operations management roles where data-driven decision-making is key. The world needs good data people, especially those who understand the real-world impact.

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.