UK

United Kingdom · Internal consulting · Senior (5-8 years)

Senior Analytics Consultant

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.

Start my Senior Analytics Consultant plan, free

Free to start: a plan built for this role, and a Future Fluency module to try first. No card.

Keep this job description

Where should we send it?

One email: what AI is changing in this job, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

Upskilling a team in this role? Talk to us

  • Experience bandSenior (5-8 years)
  • Direct reportsNo direct reports
  • Reports toManager, Analytics Consulting
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Senior Business Analyst · Analytics Lead · Consulting Analyst (Senior) · Insights Manager

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 10 standards
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 7 of 10 standards
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 5 of 10 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 3 of 10 standards
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 2 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 Pearson BTEC Level 5 Higher National Diploma in Computing for England
Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Data Analysis Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF)

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Systems Fluency seeing the whole picture
Start my Senior Analytics Consultant plan, free
Your Plan Illustration

Built for Senior Analytics Consultant

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

  1. Data Analytics Pearson Education Ltd · covers 4 of 10 standards Level 5
  2. Data Analytics Primer NOCN · covers 7 of 10 standards Level 4
  3. Data Analysis and Visualisation OTHM Qualifications · covers 5 of 10 standards Level 7
  4. Data Analysis Highfield Qualifications · covers 2 of 10 standards Level 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Senior Analytics Consultant?

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 & LLM Integration
  • Advanced Visualisation & Interactive Storytelling
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 Senior Analytics Consultant plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

Start my Senior Analytics Consultant plan, free Ready to pay? Subscribe for £70 a month

3What this role really is

A Senior Analytics Consultant turns a messy, vague business problem into a clear, data-driven solution. You own projects from start to finish, from figuring out what questions to ask, to digging through the data, and finally telling a clear story to senior leaders. Think of it as detective work, but with SQL and Python instead of a magnifying glass. You often act as the bridge between technical teams and business stakeholders, making sure everyone understands what the numbers mean. It is hands-on work, but with a strategic edge.

4What you'd actually use

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

Power BI / Tableau Expert

Designing and building complex, interactive dashboards for senior leadership, including advanced calculations (LOD expressions) and performance tuning. You'll also mentor juniors on best practices.

SQL (PostgreSQL, T-SQL) Advanced

Writing and optimising complex queries using window functions, CTEs, and temporary tables to extract and transform data for deep-dive analysis. You'll be the go-to person for tricky data pulls.

Python (pandas, scikit-learn) Advanced

Building predictive models (e.g., regression, classification) to forecast outcomes or identify key drivers. Automating analytical workflows for efficiency. You'll use it for more than just data cleaning.

Excel (Power Query, VBA) Expert

Building robust, dynamic financial and operational models, often connecting to various data sources. Automating repetitive tasks with VBA macros. You'll be teaching others advanced techniques.

Snowflake / Databricks Advanced User

Connecting to and querying data from our enterprise data warehouse. Understanding schema design and performing basic data engineering tasks (like creating views) for project-specific needs. You'll know your way around the data.

PowerPoint Expert

Crafting compelling narratives and executive-level presentations ('the deck') that guide senior leaders through a logical argument to a clear recommendation. This is your primary tool for influence.

Miro / MS Teams Facilitator

Leading workshops, brainstorming sessions, and stakeholder interviews using digital whiteboards to structure problems, gather requirements, and drive collaborative problem-solving.

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
Project Scoping & Methodology Follows pre-defined scope and methodology, escalates any deviations. Proposes methodology for routine problems, consults manager on complex ones, defines project scope with manager input. Independently defines project scope, selects and designs analytical methodology for complex problems, consults manager on strategic implications only.
Data Sourcing & Preparation Queries existing, well-documented data sources with guidance, escalates data quality issues. Identifies necessary data sources, performs complex data joins and cleaning independently, flags major data gaps. Architects data collection strategy for projects, liaises with Data Engineering for new data feeds, defines data quality standards for project, troubleshoots complex data issues.
Recommendations & Insights Presents findings as instructed, seeks guidance on 'so what' implications. Develops initial recommendations, refines with manager feedback, presents to peer-level stakeholders. Formulates and defends data-backed recommendations to senior leadership, anticipates and addresses challenges, influences decision-making, owns the 'so what'.
Mentoring & Guidance Asks questions, seeks guidance from senior team members. Provides informal help to new joiners, answers basic technical questions. Formally mentors 1-2 junior analysts, conducts code reviews, provides structured feedback, helps unblock complex technical challenges.

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.

Project Completion & On-Time Delivery
The percentage of projects you lead that are completed within the agreed-upon scope and timeline.
Target · >90% on-time, >95% within scope

You committed to delivering the 'Customer Churn Driver Analysis' by 15th March. You delivered it on 14th March, with all agreed deliverables met. That's a win.

Recommendation Adoption Rate
The percentage of your project recommendations that are actually implemented by the business partner.
Target · >70% adoption rate

Your analysis recommended optimising our marketing spend in three specific channels. Two of those three recommendations were actioned by the Marketing team, leading to a 66% adoption rate for that project.

Documented Business Impact (ROI)
The quantifiable financial or operational benefit (e.g., cost savings, revenue increase, efficiency gain) directly attributed to your project's insights.
Target · Minimum £100K-£500K annualised impact per major project

Your supply chain optimisation model led to a documented £250,000 saving in logistics costs over 12 months, verified by the Finance team.

Accuracy of Analytical Outputs
The precision and correctness of your data preparation, calculations, and model outputs, typically verified by peer review or stakeholder feedback.
Target · <1% error rate on critical calculations

A peer review of your Q3 revenue forecast model found no discrepancies in the underlying data or calculations, ensuring the board received reliable figures.

Stakeholder Trust & Proactive Engagement
How often business partners proactively seek your input on new problems, rather than just waiting for you to deliver. It's about being seen as a go-to expert.
  • You're invited to early-stage planning meetings for new initiatives. Business partners come to you with vague problems before they've even framed them. They refer other teams to you. They openly share their challenges and concerns, not just their 'asks'.
Quality of Insights & Storytelling
The clarity, actionability, and compelling nature of your presentations and recommendations. Are you just presenting data, or are you building an unassailable argument?
  • Senior leaders consistently understand your 'so what' without needing further explanation. Your recommendations are clear, concise, and directly address the business problem. You get positive feedback on your ability to simplify complex topics. Your decks are often used as templates by others.
Mentorship & Team Contribution
How effectively you guide and develop junior team members, and how much you contribute to the team's overall knowledge and best practices.
  • Junior analysts consistently improve their technical skills and problem-solving abilities under your guidance. You actively participate in code reviews, offering constructive feedback. You share new techniques or tools with the team. You help new joiners get up to speed quickly.
Problem Scoping & Definition
Your ability to take an ambiguous business question and break it down into a clear, manageable analytical project with well-defined objectives and deliverables.
  • Your project charters are always clear and agreed upon by stakeholders. You consistently identify the 'real' problem behind a request, even if the initial ask was vague. You push back constructively on unrealistic scopes or timelines, offering practical alternatives.

7Would you like it

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

What people enjoy
Solving Complex Puzzles

You'll be given a vague problem like 'our customer acquisition cost is too high' and it's your job to figure out why, using all the data available. This means digging deep, testing hypotheses, and finding the hidden patterns. You thrive on the intellectual challenge.

Spending a week deep-diving into disparate marketing campaign data, customer demographic info, and sales conversion rates to uncover that a specific channel is underperforming due to a targeting mismatch, rather than just overall budget issues.

Driving Tangible Business Impact

You want to see your work make a real difference, not just sit in a report. You'll be tracking the implementation of your recommendations and seeing the financial or operational benefits unfold. It's about moving the needle.

After presenting an analysis on inventory optimisation, you work with the Operations team to implement new ordering thresholds, and three months later, you see a 15% reduction in warehousing costs directly attributable to your project.

Mentoring & Developing Others

You enjoy guiding junior team members, reviewing their code, helping them structure their analysis, and seeing them grow. You get satisfaction from sharing your knowledge and experience.

A junior analyst is stuck on a complex SQL query. You sit with them, walk them through the logic, and help them debug it, empowering them to solve similar problems independently next time.

What frustrates people
  • The 80/20 Data Janitor Rule: Spending up to 80% of your project time finding, cleaning, and restructuring messy, poorly documented data from a dozen different systems. The 'analysis' is often the last 20%.
  • The HIPPO Effect: Your data-driven recommendation is overturned by the 'Highest Paid Person's Opinion' in the room, often based on gut feel or anecdotal evidence.
  • Analysis Paralysis vs. Action: Delivering a powerful analysis that everyone agrees is 'fascinating,' but which results in no actual change or decision from the business partner.
  • Political Minefields: Unknowingly presenting findings that contradict a powerful executive's pet project, and facing the subsequent political fallout.
  • Scope Creep: The slow, insidious expansion of project requirements beyond the original charter, often through 'just one more small request' that isn't really small.
What this role does not give you
  • A predictable, unchanging daily routine – every project brings new challenges and new data.
  • The ability to always work on 'greenfield' projects; you'll spend time improving existing processes too.
  • Direct people management responsibilities (though you'll mentor, it's not formal line management).
  • A role where you only deal with clean, perfectly structured data – messy data is the norm.

8Who you work with

Your work directly informs decisions that can impact millions of pounds in revenue, operational costs, or customer satisfaction. You're not just crunching numbers; you're providing the evidence that helps our leaders make smarter choices. Getting it right means we avoid costly mistakes and seize opportunities faster. Getting it wrong means wasted effort, bad decisions, and a loss of trust in the analytics team.

Inside the business
  • Heads of Department (e.g., Head of Marketing, Head of Operations, Head of Finance)
  • Product Managers and Product Owners
  • Sales Directors and Regional Sales Leads
  • Data Engineering and IT teams (for data access and infrastructure)
  • Other Senior Analytics Consultants (for peer review and collaboration)
Outside the business
  • Occasionally, you might present to external partners or vendors if a project involves them, but it's not a regular thing. Most of your focus is internal.

9What you need before you start

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

  • Proven ability to independently manage analytical workstreams from problem definition to insight delivery, typically gained from 2-5 years as an Analytics Consultant or similar role.
  • Strong proficiency in SQL for complex data extraction and transformation, including window functions and CTEs.
  • Advanced skills in at least one major data visualisation tool (Power BI or Tableau), capable of building interactive, production-ready dashboards.
  • Intermediate to advanced Python skills for data manipulation (pandas) and basic statistical modelling (scikit-learn).
  • Experience presenting analytical findings and recommendations to mid-level management (e.g., Head of Department, Senior Managers).
  • Demonstrated ability to break down ambiguous business questions into structured analytical problems.
  • A solid track record of identifying and solving data quality issues independently.

10What to practise next

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

Advanced Statistical Modelling & Machine Learning Deployment

The business will increasingly ask for more sophisticated predictive capabilities. You'll need to move beyond just building models in a notebook to understanding how to prepare them for deployment, monitor their performance, and explain their outputs to non-technical audiences.

Model Interpretability (XAI) · Model Monitoring & Drift Detection · Feature Engineering for Business Context · Basic MLOps Principles · Ethical AI Considerations

  • This week: Read a foundational paper or article on model interpretability (e.g., LIME or SHAP).
  • This month: Apply an interpretability technique to one of your existing predictive models and present the 'why' behind its predictions.
  • Month 2: Research tools and methods for monitoring model performance in a production environment.
  • Month 3: Propose a pilot project where a simple ML model could be deployed and monitored to solve a business problem.

Quick win: Start using `eli5` or `shap` libraries in Python to understand your existing models better. It's a quick way to add depth to your analysis.

11Staying current once you are in

What people here do to keep up
  • Regularly engage with industry publications, blogs, and online communities (e.g., Kaggle, Medium, LinkedIn Learning) to stay current on new analytical techniques and tools.
  • Attend webinars or virtual conferences on advanced analytics, data science, and internal consulting best practices.
  • Participate in internal 'Lunch & Learn' sessions or lead one yourself to share your knowledge and learn from peers.
  • Seek out opportunities to mentor junior colleagues and provide constructive feedback on their work.
  • Actively solicit feedback on your presentations and analytical outputs from senior leaders and peers to continuously refine your storytelling and influence skills.
  • Take online courses on specific advanced statistical methods or machine learning algorithms that are relevant to our business challenges.

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 & LLM Integration

Critical within 6 months—this isn't future-gazing, it's already here. Competitors are using tools like ChatGPT and Claude to draft reports in 10 minutes that used to take 2 hours. Analysts who figure this out will outproduce their peers significantly, and those who don't will fall behind.

  • Context Windows & Token Limits
  • Temperature Settings
  • RAG (Retrieval Augmented Generation)
  • Output Validation & Hallucination Detection
  • Prompt Chaining

Advanced Visualisation & Interactive Storytelling

Important within 12 months. As data becomes more complex, static dashboards just won't cut it. Business partners need to explore data themselves and understand the 'why' behind the numbers in a more intuitive way. Your ability to build truly interactive, narrative-driven visualisations will be a key differentiator.

  • Dashboard Action Filters
  • Narrative Flows in Dashboards
  • Custom Visuals & Extensions
  • Performance Optimisation for Large Datasets
  • User Experience (UX) Principles for Analytics

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Hypothesis-Driven Analysis
  • Stakeholder Needs Assessment & Scoping
  • Financial & Operational Modeling
  • Data Storytelling
  • Root Cause Analysis (RCA)
  • Change Management Fundamentals

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

    Analytics Consultant (Internal Promotion)

    2-3 years as an Analytics Consultant (L2)

    Skills to master

    • Independent project execution, strong data manipulation skills (SQL, Python), initial stakeholder communication, reliable delivery of analytical workstreams.

    You're ready to move on when

    • Consistently delivers complex analytical tasks without supervision.
    • Proactively identifies and solves data quality issues.
    • Receives positive feedback on clarity of insights from mid-level stakeholders.
    • Has informally mentored new joiners or assisted with their technical challenges.
  2. 2

    Senior Business Analyst (External Hire)

    5-7 years in a dedicated Business Analyst role, often within a specific industry sector.

    Skills to master

    • Deep domain knowledge, requirements gathering, process mapping, translating business needs into technical specifications, some exposure to data analysis.

    You're ready to move on when

    • Proven track record of leading requirements gathering for complex projects.
    • Experience working closely with data teams to define reporting or analytical needs.
    • Can demonstrate strong problem-solving skills and a structured approach to business challenges.
    • Has presented solutions and recommendations to business users and managers.
  3. 3

    Data Analyst / BI Developer (External Hire)

    5-8 years in a data-focused role, building dashboards and reports.

    Skills to master

    • Expertise in SQL, Power BI/Tableau, data warehousing concepts, ETL processes, strong data modelling skills.

    You're ready to move on when

    • Has built and maintained complex, interactive dashboards for multiple business units.
    • Can write and optimise advanced SQL queries for performance.
    • Demonstrates a keen eye for data quality and consistency.
    • Is eager to move beyond just reporting and into more strategic problem-solving and influencing.

15Where this role leads

The long view: This work can lead to managing a team as an Analytics Consulting Manager. It can also lead to becoming a Principal Analytics Consultant as a technical authority, or leading a function as Director of Internal Analytics and Strategy.

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 Senior Analytics Consultant 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, worked against Senior Analytics Consultant.

Data Analytics Level 5

Applied to your work in Senior Analytics Consultant

The objective of this unit is to enable learners to understand and apply data analytics techniques for decision-making. Learners will be able to apply descriptive, predictive, and prescriptive analytic methods, utilising statistical methods, to convert raw data into actionable insights and determine the best course of action.

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.

Start my Senior Analytics Consultant plan, free
See Your Progress Grow Illustration
Senior Analytics Consultant
  • Hypothesis-Driven Analysis
  • Stakeholder Needs Assessment & Scoping
  • Financial & Operational Modeling
  • Data Storytelling
  • Root Cause Analysis (RCA)
  • Change Management Fundamentals
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Senior Analytics Consultant is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Lead Analytics Consultant (L4)

    3-5 years as a Senior Analytics Consultant

    This is a significant step up, moving from leading individual projects to architecting analytical solutions for larger programmes or even leading small teams. You'll be the go-to technical expert for the most complex problems.

    • Advanced Data Engineering Concepts Understanding data pipelines, data governance frameworks, and how to collaborate with Data Engineering to build new data assets.
    • Advanced Statistical & ML Application Applying more sophisticated statistical methods or machine learning models to novel business problems, and understanding their deployment implications.
    • Consulting Practice Development Contributing to the development of new methodologies, tools, and best practices for the entire analytics consulting function.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of your time as a Senior Analytics Consultant is spent on tasks that, while necessary, aren't always the most stimulating. Imagine if you could cut down on the grunt work and focus more on the high-value strategic thinking and stakeholder influence. Good news: AI can help you do just that.

Our internal AI Productivity Hub is designed specifically for our Internal Consulting team. It's not about replacing your job, but about making you significantly more effective and productive. Think of AI as your super-smart assistant, helping you get through the tedious bits faster so you can spend more time on the truly interesting challenges and strategic conversations. Here's how it'll actually change your day-to-day:

Automated Data Wrangling

Instead of spending hours writing complex SQL queries or Python scripts to clean and merge messy datasets, you can use AI tools to generate first drafts of that code. Just describe what you need, and the AI will give you a solid starting point, letting you focus on validation and refinement rather than typing it all out from scratch. It's a massive time-saver for the 80/20 data janitor rule.

First-Draft Narrative Generation

After you've done the heavy analytical lifting, the hardest part can be crafting the perfect executive summary or narrative for 'the deck.' Feed your key charts and data tables into an LLM and prompt it: 'Act as a business strategist. Write an executive summary explaining the key trends, outliers, and three most important 'so what's' from this data.' You'll get a solid first draft in minutes, freeing you up to refine the strategic message.

Hypothesis & Issue Tree Brainstorming

When you're trying to scope a new, ambiguous problem, sometimes you just need a thought partner to help structure your thinking. Use an LLM to brainstorm potential root causes or build a MECE issue tree. Prompt it: 'I need to analyse the drivers of low user adoption for our new software. Generate a MECE issue tree of potential root causes covering product, marketing, training, and support.' It's like having a junior consultant who never gets tired.

Complex Code Debugging & Explanation

Ever inherited a massive, uncommented SQL query or Python script that makes no sense? Paste it into an AI tool and ask it to 'add comments to explain this code step-by-step' or 'find the bug in this query.' It's a lifesaver for understanding legacy code or quickly debugging your own, especially when you're under pressure to deliver. You can also use it to review junior analysts' code for common errors.

Common questions

Common questions

How do you become a Senior Analytics Consultant?

Common routes in include Analytics Consultant (Internal Promotion) (2-3 years as an Analytics Consultant (L2)), Senior Business Analyst (External Hire) (5-7 years in a dedicated Business Analyst role, often within a specific industry sector.) and Data Analyst / BI Developer (External Hire) (5-8 years in a data-focused role, building dashboards and reports.). Times vary with prior experience.

Where can a Senior Analytics Consultant progress to?

This role can lead on to Lead Analytics Consultant (3-5 years as a Senior Analytics Consultant), depending on the skills you build.

What new skills matter most for a Senior Analytics Consultant?

Increasingly, Prompt Engineering & LLM Integration and Advanced Visualisation & Interactive Storytelling. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

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

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

Or try another one

17Where to go from here

Other roles at Level 5

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

 More jobs in internal consulting

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

The skills built here transfer easily. These include hypothesis-driven problem solving, data storytelling, stakeholder management, and advanced analytics. They can lead to external consulting work, or strategic roles in other industries, such as heading analytics for a tech company or managing strategy for a retailer. They can also lead to setting up a data-driven venture of your own.

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 Senior Analytics Consultant plan, free 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.