UK

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

Junior Global Marketing Research Assistant

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

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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.

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  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toMarketing Research Analyst or Senior Marketing Research Analyst
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Marketing Research Trainee · Research Associate (Entry Level) · Data Collection Assistant, Marketing

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

AIM Qualifications Level 2 Certificate in Employability and Development Skills AIM Qualifications · Level 2 · covers 3 of 10 standards
AIM Qualifications Level 2 Diploma in Employability and Development Skills AIM Qualifications · Level 2 · covers 2 of 10 standards
AIM Qualifications Level 2 Award in Employability and Development Skills AIM Qualifications · Level 2 · covers 2 of 10 standards
Gateway Qualifications Level 2 Award in Digital Marketing Gateway Qualifications Limited · Level 2 · covers 1 of 10 standards
City & Guilds Level 3 Diploma in Digital Marketing City and Guilds of London Institute · Level 3 · covers 1 of 10 standards
SFEDI Awards Level 2 Certificate in Self Employment SFEDI Enterprises Ltd. T/A SFEDI Awards · Level 2 · covers 1 of 10 standards

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

The units you would start with

Marketing Research AIM Qualifications Level 2 Certificate in Employability and Development Skills
Digital Marketing Gateway Qualifications Level 2 Award in Digital Marketing
Digital marketing metrics and analytics City & Guilds Level 3 Diploma in Digital Marketing
Researching A Market SFEDI Awards Level 2 Certificate in Self Employment

The future skills this job leans on

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

Built for Junior Global Marketing Research Assistant

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

  1. Marketing Research AIM Qualifications · covers 3 of 10 standards Level 2
  2. Digital Marketing Gateway Qualifications Limited · covers 1 of 10 standards Level 2
  3. Digital marketing metrics and analytics City and Guilds of London Institute · covers 1 of 10 standards Level 3
  4. Researching A Market SFEDI Enterprises Ltd. T/A SFEDI Awards · covers 1 of 10 standards Level 2
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 Global Marketing Research Assistant?

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 for Research
  • Basic Data Visualisation Principles
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 Global Marketing Research Assistant 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.

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3What this role really is

This entry-level role involves collecting and checking marketing data so it is clean, accurate and ready to use. You support more experienced analysts and learn how brands understand their customers. The work means getting into the detail, checking figures carefully, and helping build solid foundations for research findings.

4What you'd actually use

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

Qualtrics XM Intermediate

Programming basic surveys from a Word document, setting up simple skip logic, monitoring live survey quotas, and exporting raw data for cleaning.

SPSS / R Basic (SPSS)

Running frequencies and cross-tabs on cleaned datasets, following pre-written syntax files, and generating basic descriptive statistics under guidance.

Tableau Basic

Connecting to clean Excel files, building simple bar and line charts, and updating data sources and filters on existing dashboards to refresh reports.

Microsoft Excel Advanced

Extensive use of VLOOKUP/XLOOKUP, PivotTables, conditional formatting, and complex nested formulas for data cleaning, manipulation, and initial analysis.

Asana Intermediate

Managing your personal tasks, updating project statuses, and collaborating with team members within existing project templates to keep track of deadlines.

NVivo Basic

Importing qualitative data (e.g., survey verbatims), applying pre-defined node codes, and running simple queries to summarise coded themes under supervision.

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
Survey Logic Changes Escalate to supervisor immediately. Do not implement without explicit approval. Propose changes to supervisor for review and approval. Can implement minor, pre-approved adjustments. Can make technical decisions on complex survey logic within project scope, informing manager.
Data Cleaning Methodology Follow established guidelines and escalate any ambiguous data points or outliers to supervisor. Can choose appropriate cleaning methods for routine issues, escalating novel problems. Designs and implements data cleaning protocols for complex datasets, consulting on major changes.
Vendor Communication Draft emails for supervisor review; only communicate directly on pre-approved, routine matters (e.g., checking quota updates). Manage routine communication with panel providers and vendors, escalating issues to manager. Leads communication and negotiation with research vendors, manages relationships.
Project Prioritisation Follow supervisor's prioritisation. Report any conflicts or potential missed deadlines immediately. Can prioritise own tasks within a project, aligning with project manager on overall deadlines. Prioritises workstreams for self and mentees, negotiating deadlines with stakeholders.

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 Entry & Cleaning Accuracy
The percentage of tasks where your data entry or cleaning work is error-free.
Target · <1% error rate (after initial training)

If you clean 10 datasets in a month, we'd expect 9.9 of them to be perfect. Missing a single miscoded response in a dataset of 1,000 would count as an error.

Survey Programming Quality
The number of programming errors found during Quality Assurance (QA) checks on surveys you've built or updated.
Target · <2 programming errors per survey (after initial training)

You program a new survey. During the QA process, only one minor skip logic error is found, and no major issues like broken links or incorrect question types. That's a good result.

Standard Report Population Turnaround Time
How quickly you can populate existing report templates with new data once it's available.
Target · Standard report updates delivered within 48 hours of data receipt

A Marketing Research Analyst sends you a cleaned dataset on Monday morning and asks you to update the weekly brand tracker. You get it done and sent back by Wednesday morning, well within the 48-hour window.

Documentation Adherence
The completeness and accuracy of the project documentation you create or update, following our established templates.
Target · 95% adherence to documentation templates and guidelines

You've finished helping with a survey. You make sure the survey link, sample details, and any changes made during fielding are all logged in the project's documentation folder, exactly as the template requires.

Proactive Learning & Questioning
Your willingness to ask clarifying questions, seek feedback, and actively learn new tools and methodologies.
  • You're regularly asking 'Why do we do it this way?' or 'Could you show me that again?' You take notes, follow up on feedback, and suggest new ways to approach a task after you've learned the basics. You're not afraid to admit you don't know something and ask for help.
Process Adherence & Reliability
How consistently you follow established procedures for data handling, survey programming, and project management.
  • You don't skip steps, even if they seem minor. When given a checklist for a task, you go through it item by item. Your supervisor can trust that if you're given a task, you'll follow the instructions precisely, or flag any issues immediately.
Team Collaboration & Support
Your ability to work effectively with your immediate team, offering help and being a reliable pair of hands.
  • You offer to help colleagues when your own tasks are complete. You respond promptly to requests from team members. You're generally seen as someone who contributes positively to the team atmosphere, even if it's just making sure the coffee machine is topped up.
Attention to Detail
Your ability to spot small inconsistencies or errors in data, reports, or survey programming.
  • You're the one who notices the decimal point is in the wrong place on a chart, or that a survey question has a typo. You double-check your own work before submitting it, catching mistakes before your supervisor does. It's about having that 'eagle eye' for precision.

7Would you like it

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

What people enjoy
Learning New Skills

You'll be constantly exposed to new research methodologies, software, and data challenges. Every day is a chance to pick up something new, whether it's a new Excel trick or understanding how to program a specific survey logic.

Spending an afternoon learning a new feature in Qualtrics that makes survey programming quicker, or understanding the basics of a statistical test the analysts are running.

Contributing to a Team

You're an essential part of the research team. Your work directly supports the analysts, and you'll see your efforts contribute to bigger projects. You're not just a cog; you're a vital piece of the machine.

Successfully cleaning a large dataset that allows an analyst to finish their report on time, knowing your work was critical to the project's success.

Seeing Your Work Used

While you might not be presenting to the board, the data you've collected and cleaned will be used in presentations that shape marketing strategy. You'll see the direct impact of your meticulous efforts.

Spotting a chart in an executive presentation that uses data you helped collect and prepare, knowing your accuracy was key.

What frustrates people
  • Spending hours cleaning messy data that should have been cleaner at the source.
  • Having to follow strict processes for tasks that feel like they could be done quicker (but need to be consistent).
  • The sheer volume of data entry or quality checking required on some projects.
  • Not always seeing the 'big picture' immediately and having to trust the process.
What this role does not give you
  • Immediate strategic decision-making authority.
  • A role where you're constantly inventing new methodologies from scratch.
  • A job where you're always presenting to senior leadership (that comes later).
  • Complete autonomy over your daily tasks – you'll have clear guidance.

8Who you work with

Your main impact is ensuring the foundational data for all our marketing research is accurate and reliable. If you do your job well, the entire insights team can trust the numbers they're working with, leading to better-informed marketing strategies and campaigns. Get it wrong, and we're building our strategy on shaky ground, which could cost us money and reputation.

Inside the business
  • Marketing Research Analysts (your direct team)
  • Senior Marketing Research Analysts
  • Brand Managers (who use the research)
  • Marketing Operations Team (for data access)
Outside the business
  • Survey Panel Providers (you'll help manage simple communication with them)
  • External Research Vendors (occasionally, for basic coordination)

9What you need before you start

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

  • A genuine curiosity about consumer behaviour and market trends.
  • Exceptional attention to detail – seriously, this is non-negotiable for data work.
  • A methodical and organised approach to tasks, even when they're repetitive.
  • Strong numerical aptitude and comfort working with data in spreadsheets.
  • Eagerness to learn new software and research methodologies quickly.
  • The ability to follow instructions precisely and ask clarifying questions when unsure.
  • Good written and verbal communication skills for internal team interactions.

10What to practise next

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

Advanced Excel for Data Modelling

While you're already good at Excel, the next step is to build more robust, dynamic data models that can handle complex scenarios and be easily updated. This is crucial for more sophisticated analysis.

Power Query · Data Validation & Conditional Formatting · Named Ranges & Structured References

  • This week: Explore the 'Data' tab in Excel, specifically 'Get Data' and 'From Table/Range'.
  • This month: Watch a few YouTube tutorials on Power Query for basic data cleaning tasks.
  • Month 2: Try to rebuild one of your repetitive data cleaning tasks using Power Query.
  • Month 3: Ask your supervisor for a complex Excel file and try to reverse-engineer its formulas and structure.

Quick win: Start using 'Table' formatting for all your datasets in Excel. It makes everything much easier to manage.

Intermediate Qualtrics Customisation

As surveys become more complex, you'll need to move beyond basic programming to implement more advanced features, ensuring we can capture nuanced data efficiently.

Embedded Data · Quotas & Weights · Survey Flow Logic

  • This week: Explore the Qualtrics support documentation for 'Embedded Data' and 'Survey Flow'.
  • This month: Try to build a small practice survey that uses a few advanced features you haven't touched before.
  • Month 2: Ask a Senior Analyst to walk you through a complex survey they've built in Qualtrics.
  • Month 3: Offer to help QA a more complex survey, specifically looking for advanced logic errors.

Quick win: Practise setting up a simple quota in Qualtrics for a dummy survey. It's a small step that builds confidence.

11Staying current once you are in

What people here do to keep up
  • Completing online courses in data analysis, statistics, or market research (e.g., via Coursera, Udemy, LinkedIn Learning).
  • Attending industry webinars or virtual conferences to stay updated on trends.
  • Reading market research blogs and publications (e.g., ESOMAR, MRS) to understand the broader landscape.
  • Participating in internal training sessions on our tools and methodologies.
  • Seeking feedback regularly from your supervisor and acting on it.

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 for Research

AI is already here, and it's getting better at summarising text, generating ideas, and even helping with data cleaning. Knowing how to 'talk' to these AI models effectively will dramatically speed up your initial research and analysis tasks.

  • Clear & Specific Prompts
  • Contextual Information
  • Iterative Prompting
  • Output Validation

Basic Data Visualisation Principles

While you'll start populating templates, understanding why certain charts are used and how to make them clear and impactful will be crucial as you progress. It's not just about making pretty pictures; it's about making data understandable.

  • Chart Selection
  • Clarity & Simplicity
  • Data-Ink Ratio
  • Accessibility

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Survey Design & Methodology (Basic Understanding)
  • Quantitative Analysis (Descriptive Statistics)
  • Qualitative Analysis (Basic Coding)
  • Data Cleaning & Validation
  • Data Storytelling (Template Population)

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

    Graduate Scheme / Internship Programme

    6-12 months

    Skills to master

    • Foundational data handling, basic survey programming, understanding of research ethics, effective internal communication.

    You're ready to move on when

    • Consistently accurate work on assigned tasks.
    • Proactively asking questions and seeking to understand 'why'.
    • Demonstrating initiative in learning new tools and processes.
    • Positive feedback from supervisors and team members on reliability and attitude.
  2. 2

    Administrative Assistant with Data Focus

    1-2 years

    Skills to master

    • Advanced Excel proficiency, meticulous record-keeping, basic reporting, understanding of data confidentiality.

    You're ready to move on when

    • Proven track record of managing large datasets with high accuracy.
    • Experience in creating simple reports or dashboards.
    • Ability to work independently on defined data tasks.
    • Strong organisational skills and attention to detail in a professional setting.
  3. 3

    Customer Service / Call Centre Analyst

    1-3 years

    Skills to master

    • Understanding of customer feedback, basic data analysis from customer interactions, communication skills, problem-solving.

    You're ready to move on when

    • Experience analysing customer feedback (e.g., survey comments, call logs).
    • Ability to identify trends and patterns in qualitative data.
    • Strong empathy for customer behaviour and motivations.
    • Proven ability to communicate insights clearly to team leads.

15Where this role leads

The long view: This role can lead to work as a senior marketing research analyst, taking on more complex projects and mentoring others.

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 Global Marketing Research Assistant 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 Marketing Research, worked against Junior Global Marketing Research Assistant.

Marketing Research Level 2

Applied to your work in Junior Global Marketing Research Assistant

The objective of this unit is to provide learners with an understanding of the role and methodologies of marketing research within organisations. Learners will know how to gather relevant data using primary research methods, analyse marketing research information to identify trends and insights, and present findings clearly and effectively. Upon completion, learners will understand the importance of marketing research for decision-making.

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 plan, free
See Your Progress Grow Illustration
Junior Global Marketing Research Assistant
  • Survey Design & Methodology (Basic Understanding)
  • Quantitative Analysis (Descriptive Statistics)
  • Qualitative Analysis (Basic Coding)
  • Data Cleaning & Validation
  • Data Storytelling (Template Population)
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 Global Marketing Research Assistant is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Marketing Research Analyst (Level 002)

    2-3 years in the Junior role

    You'll move from executing tasks under supervision to owning small-to-medium research projects from start to finish, with guidance on more complex aspects.

    • Intermediate Survey Design Designing more complex surveys with advanced logic and question types.
    • Intermediate Quantitative Analysis Conducting basic inferential statistics (e.g., t-tests, chi-square) in SPSS or R.
    • Data Storytelling Drafting initial reports and presentations that tell a clear story from the data.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of market research involves repetitive tasks. But what if you could offload some of that grunt work to AI? We're not talking about replacing you; we're talking about making your job easier, quicker, and letting you focus on the more interesting stuff. Think of AI as your super-efficient assistant.

As a Junior Global Marketing Research Assistant, you'll spend a fair bit of time on data collection, cleaning, and initial reporting. AI tools can seriously speed up these processes, meaning you get more done in less time, with less tedium. It's about getting to the insights faster and reducing the chances of human error in the early stages.

Automated Verbatim Coding

Instead of manually reading through thousands of open-ended survey comments, you'll use AI to automatically categorise them into themes and even assign sentiment (positive, negative, neutral). This means you'll spend less time sifting through text and more time understanding what people are actually saying.

AI-Powered Data Cleaning Suggestions

Imagine feeding your raw survey data into a tool that flags potential errors, outliers, or inconsistencies for you. AI can help you spot 'speeders' or nonsensical responses far quicker than doing it all by hand, making your data cleaning process much more efficient and accurate.

Generative AI for Secondary Research Summaries

Need to quickly understand the latest trends in a specific market? Use AI assistants (like Perplexity AI or ChatGPT with browsing) to rapidly summarise market reports, academic studies, and competitor news. You'll get a comprehensive overview in minutes, not days, saving you loads of time on initial desk research.

Draft Executive Summaries & Report Outlines

After you've helped clean the data and populate some charts, you can feed key findings into a generative AI tool. It can then create a coherent first draft of a simple executive summary or a report outline, giving you a massive head start on putting together presentations. You'll then refine it with your own insights.

Common questions

Common questions

How do you become a Junior Global Marketing Research Assistant?

Common routes in include Graduate Scheme / Internship Programme (6-12 months), Administrative Assistant with Data Focus (1-2 years) and Customer Service / Call Centre Analyst (1-3 years). Times vary with prior experience.

Where can a Junior Global Marketing Research Assistant progress to?

This role can lead on to Marketing Research Analyst (2-3 years in the Junior role), depending on the skills you build.

What new skills matter most for a Junior Global Marketing Research Assistant?

Increasingly, Prompt Engineering for Research and Basic Data Visualisation Principles. 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

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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 marketing

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

The skills built in this role carry across many fields. They can lead to broader data analysis work, consumer insights roles for a specific brand, or areas such as UX research or competitive intelligence.

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 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.