UK

United Kingdom · Technology and data · Entry Level (0-2 years)

Junior Data Governance Analyst

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toData Governance Manager
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Data Quality Assistant · Metadata Support Specialist · Data Steward Associate

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

AIM Qualifications Level 2 Certificate in Employability and Development Skills AIM Qualifications · Level 2 · covers 2 of 9 standards
AIM Qualifications Level 2 Diploma in Employability and Development Skills AIM Qualifications · Level 2 · covers 2 of 9 standards
OCNLR Level 2 Diploma in IT User Skills (ITQ) OCN London · Level 2 · covers 1 of 9 standards
Gateway Qualifications Limited Level 2 Vocationally-Related Qualification in Digital Skills Gateway Qualifications Limited · Level 2 · covers 1 of 9 standards
CMI Level 3 Diploma in Principles of Management and Leadership Chartered Management Institute · Level 3 · covers 1 of 9 standards

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

The units you would start with

Data Management Software Skills AIM Qualifications Entry 3 Diploma in Skills for Working in Business, Administration and Customer Service Industries
Data Management Software AIM Qualifications Level 2 Certificate in Employability and Development Skills
Data Management and Analytics Gateway Qualifications Limited Level 2 Vocationally-Related Qualification in Digital Skills
Managing Data and Information CMI Level 3 Diploma in Principles of Management and Leadership

The future skills this job leans on

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

Built for Junior Data Governance Analyst

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

  1. Data Management Software Skills AIM Qualifications · covers 2 of 9 standards Entry Level
  2. Data Management Software AIM Qualifications · covers 2 of 9 standards Level 2
  3. Data Management and Analytics Gateway Qualifications Limited · covers 1 of 9 standards Level 2
  4. Managing Data and Information Chartered Management Institute · covers 1 of 9 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 Junior Data Governance Analyst?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skill this role is being asked for

  • Basic Prompt Engineering for Data Tasks
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 Junior Data Governance Analyst plan as you set up, starting with the free AI Fluency module. No card.

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3What this role really is

A junior data governance analyst checks data quality and helps keep records organised and compliant with data rules. The work involves finding issues in data and helping to fix them. It suits someone with a keen eye for detail and a willingness to learn. The role supports a wider data governance effort, helping make sure data can be trusted by everyone who uses it.

4What you'd actually use

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

Collibra (Data Catalog & Governance) Intermediate

Populating metadata, linking data assets, responding to user queries about data definitions, and executing data stewardship workflows for issue resolution.

Ataccama (Data Quality) Intermediate

Running pre-built data quality rules and profiles, investigating data quality issues, and documenting findings for remediation by data stewards.

Profisee (Master Data Management - MDM) Basic

Using the MDM hub to search for and verify 'golden records' (e.g., customer or product data), and performing low-level data cleansing tasks under supervision.

OneTrust (Data Privacy & Discovery) Intermediate

Executing data discovery scans to find sensitive data, and helping to locate personal data to fulfil Data Subject Access Requests (DSARs).

Power BI / Tableau (Data Visualisation) Intermediate

Building basic dashboards to track data quality metrics and governance programme KPIs, connecting to standard, clean data sources provided by the team.

Microsoft Excel Advanced

Performing ad-hoc data analysis, cleaning small datasets, and creating simple reports or lists for tracking purposes.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Data Quality Issue Prioritisation Identify and escalate to Senior Analyst/Manager, providing all relevant details. Prioritise routine issues based on established guidelines; escalate complex or high-impact issues. Make technical decisions on prioritisation within a data domain; consult with Data Owners on major trade-offs.
Metadata Updates in Data Catalogue Execute updates following specific instructions and templates; all new entries reviewed. Independently update and validate metadata for assigned domains; propose improvements to templates. Design and implement new metadata standards; approve significant changes to domain metadata.
Responding to Data Subject Access Requests (DSARs) Locate data and compile initial drafts under direct supervision; do not communicate directly with data subjects. Independently compile responses for routine DSARs; escalate complex cases to legal/privacy team. Oversee the DSAR fulfilment process for a business unit; ensure compliance and efficiency.

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.

Data Quality Tickets Resolved
The number of data quality issues you investigate, document, and help resolve.
Target · 15+ per week

You've closed 18 tickets this week, ranging from duplicate customer records to incorrect product codes, by working with the relevant data stewards.

Metadata Completeness for CDEs
The percentage of critical data elements (CDEs) within your assigned data domains that have complete and accurate metadata in our data catalogue.
Target · 95% population

For the 'Customer' data domain, you've ensured 97% of all CDEs now have descriptions, ownership, and lineage documented in Collibra.

SLA Adherence for Data Requests
How often you help fulfil data subject access requests (DSARs) or other data requests within the agreed service level agreement (SLA).
Target · 98% within SLA

Out of 50 DSARs you assisted with last month, 49 were completed and documented within the 30-day regulatory timeframe.

Data Policy Documentation Updates
The number of data policies or standards you review and update based on feedback or new requirements.
Target · 3-5 updates per quarter

You've updated the 'Data Retention Policy for Marketing Data' and drafted a new 'Data Classification Standard' for review this quarter.

Proactive Issue Identification
How often you spot potential data quality or governance issues before they become bigger problems, rather than just reacting to reported issues.
  • You're bringing up potential issues in team meetings, suggesting new data quality rules, or flagging inconsistencies you've noticed while working in the data catalogue. Your manager isn't finding issues you should have seen first.
Stakeholder Collaboration & Learning
Your ability to work effectively with data stewards and other teams, learning from them and building good working relationships.
  • Data stewards are happy to work with you, you're asking good questions to understand their needs, and you're actively seeking feedback on your work. You're not just waiting to be told what to do, but engaging in the process.
Documentation Quality and Clarity
The accuracy, completeness, and readability of the documentation you create or update.
  • Your documentation is easy for others to understand and use. When someone picks up your work, they don't have to ask a dozen clarifying questions. It's concise, accurate, and follows our established templates.
Understanding of Governance Principles
Your growing grasp of core data governance concepts and how they apply in our organisation.
  • You can explain 'data lineage' or 'critical data element' in your own words, not just parrot definitions. You're starting to connect the dots between a data quality issue and its business impact, showing you're thinking beyond just the technical fix.

7Would you like it

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

What people enjoy
Solving Puzzles and Finding the Truth

You'll spend time tracing data lineage, figuring out why a report number doesn't match the source system, or identifying the root cause of a data quality issue. It's like being a detective every day.

Spending an afternoon digging through logs and talking to different teams to finally pinpoint why a specific customer attribute was being overwritten incorrectly in our CRM.

Building Order from Chaos

You'll be helping to organise our data, standardise definitions, and make sense of complex information. There's a real satisfaction in bringing structure to something messy.

Successfully populating a new data domain in Collibra with consistent metadata, making it much easier for other teams to find and understand that data.

Learning and Developing Technical Skills

You'll be working with various data governance tools, learning new data concepts, and understanding how data flows through a large organisation. Every day offers a chance to pick up something new.

Mastering the data quality rules engine in Ataccama after a few weeks, and then being able to independently create and run new checks.

What frustrates people
  • Dealing with legacy systems that have zero documentation and no original developers left.
  • Explaining the difference between a 'business glossary' and a 'data dictionary' for the tenth time.
  • Getting pushback from teams who see governance as a blocker, not an enabler.
  • The sheer volume of manual data cleansing required before automation can even begin.
  • The political battles over who 'owns' a particular piece of data.
What this role does not give you
  • A direct path to leading large teams immediately (it's an entry-level role, after all).
  • A role where you're constantly building brand-new, cutting-edge data models from scratch.
  • A job where you never have to deal with messy, inconsistent data.
  • A position with zero administrative or repetitive tasks.

8Who you work with

This role directly impacts the reliability and trustworthiness of our data assets. By ensuring data quality and adherence to policies, you'll help reduce operational risks, improve reporting accuracy for decision-makers, and support our compliance efforts. Essentially, you're a foundational piece in making sure our data is an asset, not a liability.

Inside the business
  • Data Governance Manager and Senior Analysts
  • Data Stewards (across various business units)
  • Data Engineering Team
  • Compliance and Legal Teams
  • Business Intelligence Team
Outside the business
  • External auditors (occasionally, for evidence gathering)
  • Regulatory bodies (indirectly, via compliance reporting)

9What you need before you start

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

  • A genuine interest in data, how it works, and how it can be governed effectively.
  • Strong analytical and problem-solving skills, even if applied to non-data contexts.
  • Excellent attention to detail – you're the one who spots the typo or the inconsistent formatting.
  • Good written and verbal communication skills; you can explain things clearly.
  • Proficiency with Microsoft Office Suite, especially Excel.
  • A degree in a relevant field (e.g., Computer Science, Information Systems, Business Analytics) or equivalent practical experience.

10What to practise next

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

Advanced Data Profiling & Quality Rule Design

As data volumes grow, manual checks become impossible. You'll need to move beyond running pre-built rules to designing new, sophisticated data quality checks that catch subtle issues.

Statistical profiling · Pattern matching · Cross-system data validation · Threshold setting

  • This quarter: Take an online course on SQL for data analysis to better query data sources.
  • Next quarter: Shadow a senior analyst on a complex data quality investigation, focusing on their rule design.
  • Month 6: Propose and build one new data quality rule in Ataccama for a non-critical data element.
  • Month 9: Present your findings and the impact of your new rule to the team.

Quick win: Start looking at the raw data behind the data quality reports you run. Try to guess what the next rule might be or how an existing rule could be improved.

Understanding of Data Mesh Principles

Many organisations are moving towards decentralised data ownership. You'll need to understand how governance adapts when data isn't all in one central place.

Data as a product · Domain-oriented ownership · Self-serve data platform · Federated computational governance

  • This month: Read an introductory article or watch a video series on Data Mesh.
  • Next quarter: Ask your manager how our organisation's data strategy aligns (or doesn't) with Data Mesh concepts.
  • Month 6: Identify one area where a 'data as a product' mindset could improve our internal data sharing.
  • Month 9: Discuss with your team how our current governance tools might support a more federated model.

Quick win: When working with a data steward, ask them if they see their data as a 'product' for other teams. It's a great conversation starter.

11Staying current once you are in

What people here do to keep up
  • Participate in online courses on data governance fundamentals (e.g., Coursera, Udemy).
  • Attend webinars or virtual conferences on data quality or privacy.
  • Read industry blogs and publications to stay up-to-date on trends in data management.
  • Join relevant professional groups on LinkedIn to network and learn from others.
  • Seek out internal training opportunities on our data platforms and tools.

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.

Basic Prompt Engineering for Data Tasks

AI assistants are becoming incredibly powerful for summarising, drafting, and even basic data querying. Learning how to talk to them effectively will be a game-changer for productivity.

  • Clear, specific prompts
  • Context provision
  • Output validation
  • Ethical AI use

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • DAMA-DMBOK Framework (Basic Understanding)
  • Data Stewardship Models (Awareness)
  • Regulatory Compliance Mapping (Basic)
  • Data Lifecycle Management (DLM) Concepts
  • Root Cause Analysis (RCA) for Data Issues (Support)

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

    Data Entry Specialist / Data Administrator

    1-2 years

    Skills to master

    • Exceptional attention to detail, data cleansing techniques, understanding of data structures, basic database querying (SQL).

    You're ready to move on when

    • You've consistently maintained high data accuracy in your previous roles.
    • You can spot inconsistencies in large datasets without being prompted.
    • You're comfortable with basic SQL queries or advanced Excel functions for data manipulation.
  2. 2

    Junior Business Analyst / Reporting Analyst

    1-2 years

    Skills to master

    • Understanding of business processes, requirements gathering, basic data visualisation, translating business needs into data requirements.

    You're ready to move on when

    • You've helped create reports and understand the data that feeds them.
    • You've worked with business users to define what 'good' data looks like for them.
    • You can articulate how data quality impacts business outcomes.
  3. 3

    Recent Graduate (Relevant Degree)

    0 years (direct entry)

    Skills to master

    • Foundational knowledge of data concepts, analytical thinking, strong academic record, eagerness to learn practical application.

    You're ready to move on when

    • Your degree project involved data analysis or data management.
    • You've taken courses in database management, statistics, or information systems.
    • You can demonstrate strong problem-solving skills and a logical approach.

15Where this role leads

The long view: This work can lead to roles such as senior data governance analyst or data governance manager, taking on more ownership of data quality and governance projects.

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 Junior Data Governance Analyst is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Data Management Software Skills, worked against Junior Data Governance Analyst.

Data Management Software Skills Entry Level

Applied to your work in Junior Data Governance Analyst

This unit aims to equip learners with the skills to accurately enter, edit, and maintain data records within a data management system, adhering to established procedures and data protection principles. Learners will also be able to retrieve and display data records in a clear and organised manner to meet specified requirements.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

See Your Progress Grow Illustration
Junior Data Governance Analyst
  • DAMA-DMBOK Framework (Basic Understanding)
  • Data Stewardship Models (Awareness)
  • Regulatory Compliance Mapping (Basic)
  • Data Lifecycle Management (DLM) Concepts
  • Root Cause Analysis (RCA) for Data Issues (Support)
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

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

  1. Data Governance Specialist

    2-3 years in current role

    Level 2 (Mid-Level)

    • Ownership of a specific governance process (e.g., DSAR fulfilment, MDM data cleansing).
    • Designing and implementing more complex data quality rules.
    • Configuring new data domains and workflows in the data catalogue.
    • Basic mentoring or guidance for new junior analysts.
Working with AI on the job

Working with AI

Where AI is starting to help

Imagine cutting down on the tedious, repetitive parts of your job. That's what AI can do for you in data governance. We're not talking about replacing your role, but giving you superpowers to get more done, faster, and with less effort. Think of it as having a super-smart assistant for all your data tasks.

In data governance, a lot of time goes into finding things, checking things, and writing things. AI tools are getting incredibly good at automating these tasks, freeing you up for the more interesting, problem-solving parts of the job. You'll be able to focus on the 'why' and 'how' rather than the 'what'.

Automated Data Discovery & Classification

Use AI-powered tools (like those in BigID or built into cloud platforms) to automatically scan our data sources. It'll identify and tag sensitive information like personal data (PII) or financial records, much quicker than you ever could manually. This means less time hunting and more time governing.

Anomaly Detection for Data Quality

Deploy machine learning models to keep an eye on our data streams. These models can automatically flag weird patterns or sudden spikes in errors – like a sudden increase in duplicate customer records. You'll catch issues before they cause chaos downstream, saving you hours of manual checking.

Regulatory Research & Summarisation

Got a new, complex data privacy law to understand? Use a GenAI assistant to digest it and give you a concise summary, highlighting the key obligations for data handling, consent, and retention. It's like having a legal researcher on demand, cutting down your analysis time significantly.

Policy & Training Content Generation

Struggling with a blank page for a new data handling policy or a training module? Use a GenAI writing assistant to draft the first version based on your prompts and existing documents. It'll dramatically cut down on the initial writing effort for policies, role descriptions, or business glossary entries.

Common questions

Common questions

How do you become a Junior Data Governance Analyst?

Common routes in include Data Entry Specialist / Data Administrator (1-2 years), Junior Business Analyst / Reporting Analyst (1-2 years) and Recent Graduate (Relevant Degree) (0 years (direct entry)). Times vary with prior experience.

Where can a Junior Data Governance Analyst progress to?

This role can lead on to Data Governance Specialist (2-3 years in current role), depending on the skills you build.

What new skills matter most for a Junior Data Governance Analyst?

Increasingly, Basic Prompt Engineering for Data Tasks. These are the skills our record of this role lists as growing.

Free tools

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

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17Where 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.

 More jobs in technology and data

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

The skills built in data governance transfer across most industries. Any organisation with data needs governance, so this work appears in finance, retail, healthcare, tech and other sectors.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my free AI Fluency module What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.