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

Associate Data Governance Analyst

As an Associate Data Governance Analyst, you lay the foundation for a clean and trustworthy data environment.

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 toData Governance Analyst
UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Data Governance Specialist · Data Quality Assistant · Entry-Level Data Steward

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 Associate Data Governance 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

We see you

You wonder if AI will make your role redundant, yet you know that the nuances of data governance require a human touch. The idea of AI handling mundane tasks excites you, freeing up your time for more meaningful analysis.

1What this role really is

This isn't about telling people what to do; it's about helping them understand what good data looks like and how to get there. As an Associate Data Governance Analyst, you'll be the person laying the groundwork, making sure our data is clean, understood, and usable. You'll be right there in the trenches, learning the ropes, and helping to build the foundations of a solid data environment. Think of it as being a data detective and librarian, all rolled into one, but with a clear roadmap and plenty of guidance.

2A day in the life

Not a job advert. A real day, built from what this role actually holds.

08:45

You start your day by checking the data catalogue updates, ensuring all new entries are clearly described and linked to business terms.

11:00

You run a series of data quality checks, scanning dashboards for any anomalies that might need escalation.

13:30

After lunch, you dive into mapping data lineage for a critical data element, tracing its journey from origin to final report.

15:45

You prepare for the upcoming Data Stewardship Council meeting, compiling reports and summarising key data quality issues.

3What you'd actually use

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

SQL (Structured Query Language)Intermediate

You'll use SQL to query databases (like Snowflake or BigQuery) to profile data, investigate basic data quality issues, and validate metadata. Knowing your `SELECT` from your `JOIN` is pretty important.

Microsoft Excel / Google SheetsAdvanced

For organising data, tracking tasks, and sometimes doing quick analyses. You should be comfortable with pivot tables, VLOOKUPs, and basic formulas. Yes, we still use spreadsheets sometimes!

Data Governance & Catalog Platforms (e.g., Collibra, Alation)Intermediate

You'll spend a good chunk of your time in these tools, documenting metadata, linking data assets, and running pre-defined workflows. We'll train you up, but any prior exposure is a bonus.

Data Quality Tools (e.g., Talend Data Quality, Great Expectations)Basic

You'll be executing pre-built data quality rules and monitoring dashboards. No need to write complex rules yet, but you'll need to understand the outputs.

Collaboration & Documentation Tools (e.g., Confluence, Jira)Advanced

You'll be creating and maintaining documentation, managing your tasks, and tracking issues in Jira. Being organised and clear in these tools is key.

4What 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 Definition & Glossary Updates	Propose new terms or updates, but requires approval from Data Governance Analyst and Data Steward.	Can draft and propose updates, requires Data Steward sign-off.	Can approve minor updates, leads discussions for major changes with Data Stewards.
Data Quality Issue Remediation	Identifies issues, logs tickets, and assists in gathering information for investigation. No independent remediation.	Investigates root causes, proposes solutions, and executes simple fixes under guidance.	Designs and implements complex remediation plans, coordinates with Data Engineering.
Process Documentation Changes	Suggests improvements, but all changes require review and approval from Data Governance Analyst.	Drafts and updates process documentation, requires peer review.	Owns and approves process documentation for specific workstreams.

5How 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.

Metadata Documentation Accuracy

How accurately you populate and update metadata within our data catalogue for assigned Critical Data Elements (CDEs).

Target · 98% accuracy

If you're documenting 50 data elements in a month, we'd expect no more than one or two minor errors in their descriptions, ownership, or lineage links.

Tier 1 Governance Support Ticket Resolution

The percentage of basic data governance queries or issues (e.g., 'where can I find X data?', 'what does this term mean?') that you resolve within our agreed service level agreement (SLA).

Target · 90% of tickets resolved within a 48-hour SLA

If 10 tickets come in during a week, you'd be expected to close 9 of them within two working days, escalating the trickier ones to a senior colleague.

Scheduled Data Quality Profile Runs

Ensuring that all pre-defined data quality checks and profiling jobs you're responsible for are run on time, every time.

Target · 100% completion of scheduled runs

If you're tasked with running a daily data quality check on our customer master data, we'd expect to see that job complete successfully every single day it's scheduled.

Adherence to Data Governance Standards

How consistently you follow our established data governance policies, standards, and procedures in your daily work.

Your work consistently meets documented standards
you proactively ask for clarification if a process isn't clear
feedback from senior team members confirms your adherence to guidelines.

Proactive Learning & Development

Your initiative in understanding new data domains, tools, and governance concepts, and actively seeking feedback to improve.

You ask thoughtful questions during team meetings
you complete assigned training modules ahead of schedule
you take notes and refer back to them
you're keen to take on new, slightly more complex tasks.

Effective Team Collaboration

How well you work with your immediate team and support colleagues, contributing positively to our team's overall output and environment.

You offer help to colleagues when your own tasks are complete
you share relevant information you've learned
you participate constructively in team discussions
your colleagues enjoy working with you.

6Would you like it

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

What people enjoy

Bringing Order to Chaos

You'll enjoy the process of tidying up messy data, clarifying vague definitions, and documenting processes that were previously ad-hoc. There's a real satisfaction in making things clearer and more structured.

Taking a spreadsheet full of inconsistent product names and, through careful research and collaboration, helping to define a 'golden record' that everyone can use.

Continuous Learning & Skill Building

This role is a fantastic launchpad for a career in data. You'll be exposed to a wide array of data systems, business processes, and technical tools. If you love picking up new skills and understanding how things fit together, you'll thrive.

Learning how to use a new data catalog tool, then applying that knowledge to document a complex new data source from scratch.

Contributing to a Team Goal

You'll be an integral part of a small, focused team. Your contributions, even the smaller ones, directly support the larger mission of making our company data-driven. You'll feel valued for the foundational work you do.

Completing your assigned data quality checks perfectly, which then allows the senior analyst to present a reliable data quality scorecard to leadership.

What frustrates people

Chasing people for information they're too busy to give you.
Dealing with legacy systems that make data lineage a nightmare.
Feeling like you're the 'data police' when all you're trying to do is help.
The slow pace of change when trying to implement new governance processes.

What this role does not give you

High-level strategic decision-making (not yet, anyway).
Direct management of a team (you'll be an individual contributor).
A 'move fast and break things' culture (we need to be careful with data!).
A role where you're constantly building new, flashy data models.

7Who you work with

Your work ensures that the data our business relies on is accurate, consistent, and easy to find. Think of it as keeping the data 'library' organised, so everyone can quickly find the 'books' they need. This means less time wasted correcting errors and more time spent making smart business moves.

Inside the business

Your immediate Data Governance team
Data Engineers (you'll help them understand data quality issues)
Data Stewards (you'll support their work)
Business Analysts (you'll help them find reliable data)

Outside the business

None directly at this level; your focus is internal.

8What you need before you start

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

Strong written and verbal communication skills in English.
Proven ability to learn new software and technical concepts quickly.
Demonstrable attention to detail and a methodical approach to tasks.
Basic proficiency in SQL (you should be able to write simple queries).
Experience with spreadsheet software (Excel/Google Sheets) at an advanced level.
A genuine interest in data, how it works, and how it can be managed better.

9What to practise next

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

Automated Data Discovery & Classification

Manually identifying and classifying all data across an enterprise is a monumental task. Future governance roles will rely heavily on automated tools that use AI/ML to do this, meaning your role shifts to managing and refining these systems.

Machine Learning Fundamentals · Data Tagging & Labelling · Rule-Based vs. ML-Based Classification

This week: Read up on how our current data catalog platform handles automated data discovery (if it does).
This month: Explore open-source tools or articles on automated PII detection. Try to understand the concepts.
Month 2: Discuss with your manager how AI-driven classification could potentially improve our current processes.
Month 3: If possible, get a demo of an advanced data classification tool to see it in action.

Quick win: Keep an eye out for any manual data classification tasks you're doing. Think about how an automated tool *might* do it differently or more efficiently.

10Staying current once you are in

What people here do to keep up

Attend webinars or online courses on data governance basics, data quality, or metadata management.
Read industry blogs and articles (e.g., from DAMA, EDM Council) to stay up-to-date on trends.
Participate in data communities or forums to learn from others and expand your network.
Seek out opportunities to learn more about our company's specific data systems and business processes.

11How 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:

A broad read on this kind of work, not an analysis of this job on its own. Roles that share a pattern get the same answer here.

Fading: AI does more of this

AI is taking over repetitive tasks like summarising long documents and drafting simple communications.

→

Rising: worth more because of AI

Your ability to interpret and validate AI-generated outputs becomes increasingly valuable.

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

Large Language Models (LLMs) are already changing how we work. Being able to 'talk' to these AIs effectively to get useful outputs for governance tasks will be a huge advantage. It's about being smart with your prompts to save time.

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 Governance Tasks)

Large Language Models (LLMs) are already changing how we work. Being able to 'talk' to these AIs effectively to get useful outputs for governance tasks will be a huge advantage. It's about being smart with your prompts to save time.

Effective Prompting
Context Windows
Output Validation
Ethical AI Use

What you’ll use

Skills this role draws on

Technical

Data Governance Frameworks (Basic)
Metadata Management (Foundational)
Data Quality Management (Introductory)
Data Privacy & Compliance (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
Recent Graduate (Technical Degree)
0-1 year
Skills to master
- SQL proficiency, understanding of data lifecycle, basic data governance concepts, strong documentation skills.
You're ready to move on when
- Consistently accurate and timely completion of assigned tasks.
- Proactive in asking questions and seeking to understand underlying processes.
- Demonstrates initiative in learning new tools and concepts beyond direct assignments.
2
Data Entry Specialist / Data Administrator
1-2 years
Skills to master
- Transitioning from data entry to data quality analysis, understanding data relationships, basic SQL for validation.
You're ready to move on when
- Identifies and escalates data inconsistencies proactively.
- Shows a desire to understand the 'why' behind data issues, not just fix them.
- Has started to learn SQL or other data querying languages in their own time.
3
IT Support / Junior Business Analyst
1-2 years
Skills to master
- Translating business needs into data requirements, understanding system integrations, basic data modelling concepts.
You're ready to move on when
- Can clearly articulate data-related problems from a user's perspective.
- Has experience working with different business systems and understanding their data outputs.
- Demonstrates a methodical approach to problem-solving and root cause analysis.

12How people get here · where they go next

Came from

Recent Graduate (Technical Degree)

0-1 year

You mastered the basics of SQL and data lifecycle concepts, setting a strong foundation for your current role.

You are here

Associate Data Governance Analyst

Entry Level (0-2 years)

This isn't about telling people what to do; it's about helping them understand what good data looks like and how to get there. As an Associate Data Governance Analyst, you'll be the person laying the groundwork, making sure our data is clean, understood, and usable. You'll be right there in the trenches, learning the ropes, and helping to build the foundations of a solid data environment. Think of it as being a data detective and librarian, all rolled into one, but with a clear roadmap and plenty of guidance.

Goes to

Data Governance Analyst (L2)

2-3 years from Associate

This role involves taking ownership of specific governance processes, making routine decisions independently, and mentoring new team members.

The long view:Your journey starts here, but where it goes is really up to you. We'll give you the tools, the support, and the opportunities to carve out a really impactful career in data. The future of data is exciting, and we want you to be a part of shaping it with us.

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 Associate Data Governance 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.

13The 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.

The Navigator

Big-picture guide

Your Navigator helps you see how each piece of data fits into the bigger organisational puzzle, guiding you through the strategic importance of data governance.

The Coach

Real practice

Your Coach sets up scenarios where you practice identifying data inconsistencies and provides feedback on your investigative approach.

The Explorer

Safe to try

Your Explorer encourages you to experiment with new data mapping techniques, learning from each attempt without fear of making mistakes.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

14What 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 Associate Data Governance 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.

The CoachLast time, we talked about using SQL to investigate data anomalies. How did it go with the issue you were working on?

YouI found the problem, but I'm still not confident in my SQL skills.

The CoachLet's build on that by setting up a session where you can practice writing and refining SQL queries using real data from your current project.

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 Associate Data Governance 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.

Metadata Documentation AccuracyHow accurately you populate and update metadata within our data catalogue for assigned Critical Data Elements (CDEs).If you're documenting 50 data elements in a month, we'd expect no more than one or two minor errors in their descriptions, ownership, or lineage links.98% accuracy
Tier 1 Governance Support Ticket ResolutionThe percentage of basic data governance queries or issues (e.g., 'where can I find X data?', 'what does this term mean?') that you resolve within our agreed service level agreement (SLA).If 10 tickets come in during a week, you'd be expected to close 9 of them within two working days, escalating the trickier ones to a senior colleague.90% of tickets resolved within a 48-hour SLA
Scheduled Data Quality Profile RunsEnsuring that all pre-defined data quality checks and profiling jobs you're responsible for are run on time, every time.If you're tasked with running a daily data quality check on our customer master data, we'd expect to see that job complete successfully every single day it's scheduled.100% completion of scheduled runs

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.

The Coach· your tutor

The CoachLast time, we talked about using SQL to investigate data anomalies. How did it go with the issue you were working on?

YouI found the problem, but I'm still not confident in my SQL skills.

The CoachLet's build on that by setting up a session where you can practice writing and refining SQL queries using real data from your current project.

It knows your role, your work, your last session. That's what one-to-one really means. No two people are ever taught the same way.

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 Associate Data Governance Analyst to Data Governance Analyst (L2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Data Governance Analyst (L2)→ your design

A year from now

A year from now, you confidently navigate complex data environments, leveraging AI tools to enhance your analytical insights and contribute more strategically to your team.

See Your Progress GrowIllustration

Associate Data Governance Analyst

Data Governance Frameworks (Basic)
Metadata Management (Foundational)
Data Quality Management (Introductory)
Data Privacy & Compliance (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.

15The 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

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

Data Governance Analyst (L2)
2-3 years from Associate
You'll move from executing tasks under guidance to owning specific governance processes end-to-end. You'll be making routine decisions independently and mentoring new Associates.
- Writing and deploying simple data quality rules.
- Configuring basic metadata in the data catalogue.
- Leading small data lineage mapping efforts.
- Conducting basic data impact assessments.
Junior Data Engineer / Data Quality Engineer
3-4 years from Associate
This is a more technical pivot, focusing on the engineering side of data quality and governance. You'd be building the pipelines and rules, rather than just running them.
- Building data pipelines for quality checks.
- Automating metadata extraction.
- Implementing data masking/encryption techniques.
- Developing custom data quality rules in code.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, some parts of data governance can be a bit repetitive, even tedious. But what if you could offload some of that grunt work to AI? We're not talking about replacing your job; we're talking about giving you superpowers to be more efficient and focus on the really interesting stuff.

Imagine having a smart assistant that helps you classify data, spot dodgy patterns, or even draft policy documents. That's the reality we're building here. We're actively exploring and integrating AI tools to make your day-to-day life easier, giving you back valuable time to learn, grow, and tackle bigger challenges. Here's a peek at how AI can help you in this role:

Automated Data Classification

Instead of manually tagging every piece of data as 'sensitive' or 'public', AI can scan databases and suggest classifications. This means you spend less time on manual reviews and more time validating the output, which is a much smarter use of your brainpower.

Anomaly Detection for Data Quality

Our AI tools can learn what 'normal' data looks like. If there's a sudden, unexpected drop in order numbers or a weird spike in customer complaints, the AI flags it instantly. You'll spend less time staring at dashboards hoping to spot an issue, and more time investigating the flagged problems.

AI-Assisted Policy Drafting

Need to draft a new data retention policy? Instead of starting from a blank page, you can prompt an AI to give you an 80% complete draft based on industry standards. You then refine it, ensuring it fits our specific needs. It's like having a legal intern who works at lightning speed.

Intelligent Stewardship Support

Imagine a chatbot trained on our entire business glossary and governance policies. Data stewards or analysts can ask natural language questions like 'What's the official definition of MRR?' and get an instant, accurate answer. You'll spend less time answering repetitive questions and more time on complex problem-solving.

Common questions

How do you become an Associate Data Governance Analyst?

Common routes in include Recent Graduate (Technical Degree) (0-1 year), Data Entry Specialist / Data Administrator (1-2 years) and IT Support / Junior Business Analyst (1-2 years). Times vary with prior experience.

Where can an Associate Data Governance Analyst progress to?

This role can lead on to Data Governance Analyst (L2) (2-3 years from Associate) and Junior Data Engineer / Data Quality Engineer (3-4 years from Associate), depending on the skills you build.

What level is an Associate Data Governance 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 Associate Data Governance Analyst?

Increasingly, Prompt Engineering & LLM Integration (for Governance Tasks). 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 Associate Data Governance 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 Associate Data Governance 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 of nine units, ninety credits, each one an Ofqual-regulated unit the learner can tick or untick before starting. — 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.

16Where 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 Technical roles

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

If you leave this industry

The skills you'll gain in data governance are highly transferable. You could move into roles in data privacy, risk and compliance, data architecture, or even broader data leadership roles in almost any industry that deals with significant amounts of data (which is pretty much all of them these days!). Financial services, healthcare, retail, and other tech companies are always looking for strong data governance professionals.

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.

Associate Data Governance Analyst

What's rising in its place

Prompt Engineering & LLM Integration (for Governance Tasks)

Skills this role draws on

Technical

How you actually get there, here

Recent Graduate (Technical Degree)

Data Entry Specialist / Data Administrator

IT Support / Junior Business Analyst

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.

A year from now, you confidently navigate complex data environments, leveraging AI tools to enhance your analytical insights and contribute more strategically to your team.

Everything else the record holds

The career path, and where it branches

Data Governance Analyst (L2)

Junior Data Engineer / Data Quality Engineer

Where AI is starting to help

Automated Data Classification

Anomaly Detection for Data Quality

AI-Assisted Policy Drafting

Intelligent Stewardship Support

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.