United Kingdom · Customer Service · Entry Level (0-2 years)

Customer Value 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 toSenior Customer Value Specialist
UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Customer Success Analyst · Junior Value Specialist · Client Insights Assistant

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 Customer Value 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 pulling numbers; it's about making sure our customers actually see the worth in what we do. You'll be the backbone for our customer-facing teams, giving them the data and stories they need to prove our product's value. Think of it as being the detective who uncovers exactly how our software helps businesses thrive, then helps tell that story. It’s a crucial entry point into understanding the commercial side of customer relationships.

2What you'd actually use

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

Gainsight / CatalystIntermediate

Executing playbooks, updating customer health scores, logging CTAs (Calls to Action), and preparing data for QBRs. You'll be in here daily, making sure the data is fresh.

Salesforce (Service & Sales Cloud)Intermediate

Navigating accounts and contacts, pulling standard reports on case history and opportunities, and understanding various data fields. This is where a lot of our customer data lives.

Tableau / Power BIBasic

Consuming and interpreting existing dashboards, applying filters, and exporting data for further analysis. You won't be building from scratch, but you'll be using them constantly.

Qualtrics / MedalliaBasic

Viewing survey response dashboards and exporting raw data for analysis in Excel. This is how we hear directly from our customers.

SQL (PostgreSQL / Snowflake)Basic

Running pre-written queries and performing simple `SELECT...FROM...WHERE` statements to pull specific data for ad-hoc requests. This is your gateway to the raw data.

Confluence / NotionIntermediate

Documenting customer success stories, QBR notes, and team processes, following established templates. This is our team's knowledge hub.

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 choice	Coming in	Where you are now	The step above
Data Pulling & Reporting Scope	Execute specific data pulls and report generation as instructed by a Senior Specialist. No independent changes to report scope or methodology.	Choose appropriate data sources and reporting methods for routine requests. Propose minor adjustments to report scope for clarity or efficiency.	Define the scope and methodology for complex data analysis projects. Make recommendations on new metrics or reporting standards.
Customer Health Score Updates	Update health scores based on clear guidelines and data inputs provided. Flag any ambiguous data points for review.	Independently update and interpret health scores for assigned accounts. Identify and resolve minor data integrity issues impacting scores.	Refine and optimise the health score algorithm and weighting. Implement new data sources for improved predictive accuracy.
Customer Interaction & Communication	No direct customer communication. All customer-related queries or insights are to be escalated to your Senior Specialist or a CSM.	Limited, supervised customer interaction (e.g., co-presenting a section of a QBR). Draft internal communications about customer insights.	Lead customer value conversations in QBRs. Present insights directly to strategic clients. Represent the team in cross-functional client meetings.
Process Improvement Suggestions	Identify potential inefficiencies in existing processes and suggest minor improvements to your Senior Specialist.	Propose and document small process improvements within your area of responsibility. Pilot new approaches for feedback.	Design and implement new operational playbooks and value realisation frameworks for the entire team.

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.

Health Score Data Entry Accuracy

The precision of your updates to customer health scores and related data points in our Gainsight platform.

Target · 98% accuracy on all entered or updated data

If you update 50 health scores in a month, no more than one should have an identifiable error that impacts its accuracy or interpretation. We're talking about catching the small stuff before it becomes a big problem.

QBR Prep Pack Completion Rate & Timeliness

How consistently you complete the data-gathering and initial drafting for Quarterly Business Review presentations.

Target · 100% of assigned QBR prep packs completed 48 hours in advance of the scheduled review

If a QBR is on a Thursday, your prep pack needs to be with the CSM by Tuesday morning, giving them plenty of time to review and add their specific insights. No last-minute scrambles, please.

Customer Success Story Documentation

The number of high-quality, documented customer success stories you help capture, following our established templates.

Target · Roughly 10 new success stories documented per quarter

You'll work with CSMs to pull key metrics for 10 different customers who've seen great results, then help draft a short summary of their journey and impact. These are gold for our sales and marketing teams.

Data Quality Improvement & Flagging

Your ability to not just use data, but to spot when it's messy or inconsistent, and then flag those issues effectively to the right people.

You'll be proactively identifying data discrepancies in Salesforce or Gainsight, raising tickets with the Data team, and suggesting small improvements to data entry processes. Your Senior Specialist will notice you're not just accepting bad data, but actively trying to make it better. This shows you're thinking beyond the task at hand.

Team Support Effectiveness & Responsiveness

How well you support the Customer Value and Customer Success teams with ad-hoc requests, and how quickly and clearly you respond.

CSMs will tell your manager that you're a lifesaver when they need a quick report or a specific data point. You'll communicate clearly if something will take longer than expected, and you'll always follow up. It's about being a reliable, helpful presence for the wider team.

Proactive Learning & Application

Your initiative in learning new tools, understanding our value frameworks, and applying that knowledge to your daily tasks.

You'll be asking thoughtful questions about 'why' we do things a certain way, not just 'how'. You'll show you've explored new features in Gainsight or tried a different SQL query on your own. Your manager will see you actively seeking out training and trying to connect the dots across different data sources.

5Would you like it

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

What people enjoy

Learning New Skills & Growing

You'll be excited by the chance to master new data tools like Gainsight or SQL, and to understand the inner workings of a SaaS business. You'll actively seek out training and ask questions to deepen your knowledge.

You might spend your lunch break exploring a new feature in Tableau or reading up on a specific value realisation framework, just because you're keen to understand it better.

Contributing to a Team's Success

You'll get a real kick out of knowing that the accurate data you've pulled has helped a CSM secure a renewal or impress a client. You enjoy being an essential part of a collaborative effort.

When a CSM thanks you for a perfectly prepared QBR deck, you'll feel a genuine sense of accomplishment, knowing your work made their job easier and more impactful.

Seeing Tangible Impact

You're motivated by seeing your work directly influence positive outcomes, even if it's behind the scenes. Knowing your data helps customers stay happy and businesses grow is important to you.

You'll track the health scores you've helped update and feel good when you see an 'at-risk' account turn green, knowing your accurate reporting played a part.

What frustrates people

The 'Garbage In, Garbage Out' Data Problem: Your analysis is only as good as the data in Salesforce and Gainsight, which is often incomplete, inconsistent, or just plain wrong. Expect to spend a decent chunk of your time on data cleansing.
Last-Minute Changes: You'll often have QBR decks or reports changed at the eleventh hour, meaning you'll need to re-pull data or re-format slides under pressure.
Lack of Context: Sometimes you'll be asked for data without a clear explanation of 'why' it's needed, which can be frustrating when you're trying to be thorough.
Repetitive Tasks: There's definitely a fair amount of routine data pulling and updating. It's essential, but not always thrilling.

What this role does not give you

High-level strategic decision-making (that comes later).
Extensive direct customer interaction (you're supporting those who do).
Complete autonomy over your work (you'll have clear guidance and supervision).

6Who you work with

Your work directly supports the Customer Success team's ability to demonstrate value, which in turn helps improve Gross Revenue Retention (GRR) and customer satisfaction. Essentially, you're making sure our customer-facing colleagues have the ammunition they need to keep clients happy and coming back for more. Get it right, and you're helping secure millions in renewals.

Inside the business

Senior Customer Value Specialists
Customer Success Managers (CSMs)
Data Engineering Team (for data issues)
Product Marketing (for success stories)

Outside the business

None (direct customer interaction is minimal at this level)

7What you need before you start

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

A foundational understanding of data analysis concepts (e.g., averages, percentages, basic trends).
Strong organisational skills and a methodical approach to tasks.
The ability to learn new software applications quickly and effectively.
Excellent written communication skills, especially for summarising information clearly.
A genuine interest in understanding customer behaviour and business value.

8What to practise next

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

Advanced SQL for Customer Insights

As you progress, simple `SELECT` statements won't cut it. You'll need to join data from multiple tables, calculate complex metrics, and understand customer behaviour at a much deeper level directly from our data warehouses.

Multi-Table JOINs · Window Functions · Common Table Expressions (CTEs) · Query Optimisation

This month: Start practising more complex SQL queries on a sandbox database. Focus on `JOIN` types.
Month 2: Work through online tutorials specifically on window functions and CTEs.
Month 3: Try to re-write some of your existing simple queries using more advanced techniques.
Month 4: Ask a Data Engineer or Senior Specialist to review your SQL code and give you feedback.

Quick win: Challenge yourself to write a single SQL query that pulls all the data you need for a specific QBR, rather than pulling multiple smaller reports.

Deepening Gainsight/Catalyst Expertise

Gainsight isn't just a place to log notes; it's a powerful platform for customer lifecycle management. Moving beyond basic usage means you can help design better playbooks and automate more of our customer value processes.

Health Scorecard Configuration · Journey Orchestrator Programs · Custom Report & Dashboard Building · Rules Engine Logic

This month: Explore every corner of Gainsight's admin settings (if you have access) and documentation.
Month 2: Shadow a Senior Specialist or Manager as they build or modify a Gainsight playbook.
Month 3: Take an official Gainsight Administrator certification course (if available and approved).
Month 4: Propose a small improvement to an existing Gainsight rule or report to your manager.

Quick win: Spend 30 minutes each week just clicking around Gainsight, exploring features you don't normally use. You'll be surprised what you find.

9Staying current once you are in

What people here do to keep up

Regularly participate in internal training sessions on our product, Gainsight, and Salesforce.
Take online courses (e.g., Coursera, Udemy) in data analysis, SQL, or data visualisation.
Attend industry webinars or read articles on customer success and value realisation trends.
Seek out mentorship from more senior members of the Customer Value team to learn best practices and career advice.

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 (for data summarisation)

Large Language Models (LLMs) like ChatGPT or Claude are becoming incredibly powerful for summarising complex information and drafting initial content. Analysts who can effectively 'prompt' these tools will be significantly more productive.

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

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 (for data summarisation)

Large Language Models (LLMs) like ChatGPT or Claude are becoming incredibly powerful for summarising complex information and drafting initial content. Analysts who can effectively 'prompt' these tools will be significantly more productive.

Effective Prompting
Context Windows
Output Validation
Ethical AI Use

Data Visualisation Storytelling

It's not enough to just create a chart; you need to tell a compelling story with it. Our CSMs need to walk into meetings not just with data, but with a narrative that clearly shows value. This skill helps you make data truly impactful.

Audience-Centric Design
Narrative Flow
Choosing the Right Chart Type: Knowing when to use
Minimising Clutter: Removing unnecessary elements

What you’ll use

Skills this role draws on

Technical

Value Realisation Frameworks
Customer Health Scoring
QBR/EBR Strategy & Execution
Churn Prediction & Prevention Concepts

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
Recent Graduate (Quantitative Field)
0-1 year
Skills to master
- Data extraction (SQL, Salesforce), data cleaning, basic reporting, understanding customer success metrics.
You're ready to move on when
- Consistently accurate data output for QBRs.
- Proactive identification of data discrepancies.
- Ability to independently pull standard reports without supervision.
- Demonstrated understanding of core customer value concepts.
2
Customer Support Specialist (with Data Aptitude)
1-2 years
Skills to master
- Translating customer issues into data points, understanding product usage patterns, basic analytical reporting, effective internal communication.
You're ready to move on when
- Has a strong grasp of customer pain points and how they relate to product usage.
- Can effectively communicate data insights to non-technical stakeholders (e.g., CSMs).
- Shows initiative in using data to solve customer problems in their current role.
- Successfully completed internal data-focused projects or training.
3
Junior Data Analyst (Non-Customer Focused)
1-2 years
Skills to master
- Applying existing data analysis skills to customer-specific metrics, learning customer success platforms (Gainsight), understanding commercial impact of data.
You're ready to move on when
- Strong technical data skills (SQL, Excel) are already in place.
- Quickly picks up new domain knowledge specific to customer value.
- Demonstrates curiosity about customer behaviour and business outcomes.
- Able to adapt analytical approaches to answer customer-centric questions.

11Where this role leads

The long view:Your journey starts here. We're not just offering a job; we're offering a launchpad for a career where you can genuinely impact customer success and business growth. If you're keen to learn, love data, and want to be part of a team that makes a real difference, then we'd love to hear from you.

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 Customer Value 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.

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 Customer Value 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

Remember
Understand
Apply
Analyse
Evaluate
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.

Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
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.
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.
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.
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 Customer Value 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.

Health Score Data Entry AccuracyThe precision of your updates to customer health scores and related data points in our Gainsight platform.If you update 50 health scores in a month, no more than one should have an identifiable error that impacts its accuracy or interpretation. We're talking about catching the small stuff before it becomes a big problem.98% accuracy on all entered or updated data
QBR Prep Pack Completion Rate & TimelinessHow consistently you complete the data-gathering and initial drafting for Quarterly Business Review presentations.If a QBR is on a Thursday, your prep pack needs to be with the CSM by Tuesday morning, giving them plenty of time to review and add their specific insights. No last-minute scrambles, please.100% of assigned QBR prep packs completed 48 hours in advance of the scheduled review
Customer Success Story DocumentationThe number of high-quality, documented customer success stories you help capture, following our established templates.You'll work with CSMs to pull key metrics for 10 different customers who've seen great results, then help draft a short summary of their journey and impact. These are gold for our sales and marketing teams.Roughly 10 new success stories documented per 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 Customer Value Analyst to Customer Value Specialist (Level 002), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Customer Value Specialist (Level 002)→ your design

Where this takes you

Your journey starts here. We're not just offering a job; we're offering a launchpad for a career where you can genuinely impact customer success and business growth. If you're keen to learn, love data, and want to be part of a team that makes a real difference, then we'd love to hear from you.

See Your Progress GrowIllustration

Customer Value Analyst

Value Realisation Frameworks
Customer Health Scoring
QBR/EBR Strategy & Execution
Churn Prediction & Prevention Concepts

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

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

Customer Value Specialist (Level 002)
After 2-3 years in the Analyst role
You'll move from executing tasks to owning a small portfolio of accounts and executing established playbooks more independently.
- Co-delivering QBRs with CSMs, explaining data insights directly.
- Executing established playbooks for at-risk customers (e.g., identifying specific interventions).
- More advanced report building in Gainsight and Salesforce.
- Beginning to informally mentor new junior analysts.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of the initial grunt work in data analysis can be a bit of a grind. But what if you could offload some of that to a smart assistant? Our AI Hub is designed to do just that, giving you back precious hours every week. This means less time on repetitive tasks and more time learning, understanding, and actually making an impact.

For a Customer Value Analyst, AI isn't here to replace you; it's here to make you incredibly efficient. Think of it as having a tireless intern who can sift through mountains of data, draft initial summaries, and even spot patterns faster than any human. This frees you up to focus on the more interesting, analytical parts of the job, which is where the real learning happens.

Automated QBR Data Gathering

Imagine an AI agent connecting to Salesforce, Gainsight, and Tableau, pulling all the key metrics, usage trends, and recent support tickets for a customer. It then organises this data into a first-draft QBR presentation outline. You'll still need to review, refine, and add the human touch, but it cuts out hours of manual data hunting.

Thematic Feedback Summaries

Instead of manually reading through hundreds of open-ended survey responses or support ticket notes, AI can analyse them for you. It'll identify emerging themes, sentiment shifts (e.g., 'frustration with the new UI'), and common issues, giving you a quick overview of what customers are actually saying. This helps you flag potential risks much faster.

Instant Account Context Prep

When a new customer comes on board, AI can quickly ingest their website, annual report (if public), and recent press releases. It then generates a concise summary of their strategic goals, key executives, and potential business challenges. This gives you instant background context for building out their success plan, saving you hours of research.

Drafting Internal Communications

Need to summarise a complex data trend for a CSM, or draft an internal email explaining a new reporting process? AI can help. Give it the key points, and it'll generate a clear, concise draft, freeing you from staring at a blank screen. It's like having a personal copywriter for your internal comms.

Common questions

How do you become a Customer Value Analyst?

Common routes in include Recent Graduate (Quantitative Field) (0-1 year), Customer Support Specialist (with Data Aptitude) (1-2 years) and Junior Data Analyst (Non-Customer Focused) (1-2 years). Times vary with prior experience.

Where can a Customer Value Analyst progress to?

This role can lead on to Customer Value Specialist (Level 002) (After 2-3 years in the Analyst role), depending on the skills you build.

What level is a Customer Value Analyst in the UK?

This role aligns to RQF Level 2 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Customer Value Analyst?

Increasingly, Prompt Engineering & LLM Integration (for data summarisation) and Data Visualisation Storytelling. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Customer Value 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 5 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Customer Value 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 Zavmo curriculum screen: a three-month plan built for a customer support lead, five Ofqual-regulated units and a hundred and ninety-six credits. — 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 Customer Service

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, understanding customer behaviour, proving business value, and using platforms like Gainsight and Salesforce—are highly transferable. You could move into other SaaS companies, consultancies, or even into product management roles where understanding customer value is critical. Honestly, once you understand how to quantify value, you're valuable anywhere.

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.

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.

Customer Value Analyst

What's rising in its place

Prompt Engineering & LLM Integration (for data summarisation)

Data Visualisation Storytelling

Skills this role draws on

Technical

How you actually get there, here

Recent Graduate (Quantitative Field)

Customer Support Specialist (with Data Aptitude)

Junior Data Analyst (Non-Customer Focused)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

No two people are taught the same way. This is one-to-one, not one-to-many.

A conversation, not a course

No two people run this the same way

This isn't a certificate you file away. It's a passport to the life you're designing.

Your journey starts here. We're not just offering a job; we're offering a launchpad for a career where you can genuinely impact customer success and business growth. If you're keen to learn, love data, and want to be part of a team that makes a real difference, then we'd love to hear from you.

Everything else the record holds

The career path, and where it branches

Customer Value Specialist (Level 002)

Where AI is starting to help

Automated QBR Data Gathering

Thematic Feedback Summaries

Instant Account Context Prep

Drafting Internal Communications

Common questions

You’ve started things before

Less than one coaching session. Every month.

You have the map. Walking it is the part we do together.