UK

United Kingdom · Corporate strategy · Mid-Level (2-5 years)

Global Market Intelligence 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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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 bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Global Market Intelligence Analyst or Lead Global Market Intelligence Strategist
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Market Research Analyst · Competitive Intelligence Specialist · Business Intelligence Analyst

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

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 3 of 6 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 2 of 6 standards
BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 1 of 6 standards
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 1 of 6 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 2 of 6 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 6 standards

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

The units you would start with

Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England
Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Global Market Intelligence Analyst

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

  1. Data Analytics Primer NOCN · covers 3 of 6 standards Level 4
  2. Data Analytics Pearson Education Ltd · covers 2 of 6 standards Level 4
  3. Data Analysis BCS, The Chartered Institute for IT · covers 1 of 6 standards Level 4
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 Global Market Intelligence 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

  • Prompt Engineering & LLM Integration
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 Global Market Intelligence Analyst plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

Start my Global Market Intelligence Analyst plan, free Ready to pay? Subscribe for £70 a month

3What this role really is

This job involves researching markets, tracking competitors, and giving teams the facts they need to make decisions. The work turns raw data into clear, usable information others can act on.

4What you'd actually use

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

Bloomberg Terminal / Refinitiv Eikon / S&P Capital IQ Intermediate

Pulling specific company data, competitor financials, pre-built market reports, and basic comparable company analysis (comps) with minimal guidance.

Crayon / Kompyte / SEMrush / Similarweb Basic

Monitoring pre-configured dashboards and alerts for competitor website changes, pricing updates, and ad campaigns. You'll be able to extract key insights from these platforms.

Excel (Power Query, XLOOKUP, Pivot Tables) Intermediate

Cleaning datasets, joining multiple data sources, and performing standard analysis to create clear, presentable data tables and charts.

SQL (PostgreSQL) Intermediate

Writing and executing queries to extract specific data from our internal databases, joining tables, and filtering results for your analysis.

Python (pandas, Matplotlib) Basic

Performing basic data cleaning, manipulation, and simple visualisations for ad-hoc analysis or to automate repetitive tasks. You'll be able to read and adapt existing scripts.

Tableau / Power BI Intermediate

Building and modifying existing dashboards from clean data sources. Your focus will be on clear data representation and ensuring the dashboards are easy for others to use.

Qualtrics / SurveyMonkey Basic

Programming simple surveys, setting up basic logic, and distributing them to gather primary data for specific research questions.

Confluence / Notion / MS Teams Intermediate

Contributing to our existing knowledge base, documenting your findings and methodologies, and sharing reports via established channels. You'll keep things organised.

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 Source Selection for Routine Reports Relies on supervisor's guidance for all source selection. Independently selects appropriate, pre-approved data sources for routine reports; consults manager for new or unverified sources. Defines and vets new data sources for specific projects; recommends additions/removals from approved list.
Report Content & Format Adjustments Follows strict templates; any changes require supervisor's approval. Can make minor adjustments to existing report formats for clarity; significant changes require manager's approval. Designs new report formats and content based on stakeholder needs, with manager's input on strategic alignment.
Prioritisation of Ad-hoc Requests Supervisor dictates prioritisation for all requests. Prioritises routine ad-hoc requests based on established guidelines; escalates conflicting priorities or urgent executive requests to manager. Negotiates priorities directly with stakeholders for their projects; informs manager of high-level commitments.
Methodology for Data Analysis Applies established analytical methods under supervision. Independently applies standard analytical methodologies (e.g., basic TAM analysis, competitive benchmarking); proposes alternative approaches for manager review. Designs and implements novel analytical methodologies for complex problems; seeks peer review for robustness.

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.

Turnaround Time for Ad-hoc Requests
How quickly you deliver on those 'urgent' requests for data or analysis.
Target · More than 90% of requests completed within 48 hours

A Sales Director asks for a quick overview of a new competitor's pricing on Monday morning; you've got a concise summary and data points back to them by Tuesday afternoon.

Data Accuracy in Standard Reports
The cleanliness and correctness of the data you compile for our regular market intelligence reports.
Target · Less than 1% error rate in data compiled for standard reports

Your quarterly competitor earnings summary has no discrepancies when cross-referenced with their official filings, meaning the Finance team can use it without double-checking.

On-Time Delivery of Routine Reports
Ensuring our weekly, monthly, or quarterly market intelligence reports land in people's inboxes when they expect them.
Target · 100% of assigned routine reports delivered on schedule

The 'Monday Morning Market Brief' is consistently sent out by 9 AM every Monday, giving everyone a fresh start to the week with the latest news.

Stakeholder Satisfaction (Internal Peers)
How happy your internal clients (like Product or Sales) are with the relevance and clarity of your insights.
  • You'll know you're doing well when Product Managers proactively ask for your input on their roadmap, or when Sales reps tell you your battlecards actually helped them close a deal. We'll also look at feedback from informal surveys or direct comments to your manager.
Proactive Problem Solving
Your ability to spot potential issues or opportunities in the market before someone else asks you to look into them.
  • This looks like you flagging a new competitor trend before your manager does, or suggesting a new way to track a specific market segment without being prompted. It's about bringing solutions, not just identifying problems.
Quality of Documentation
How well you document your data sources, methodologies, and findings so others can understand and reproduce your work.
  • When a new joiner can pick up one of your reports and easily understand where the data came from and how you got to your conclusions, that's a win. Clear notes in Confluence or Notion, well-commented code, and organised file structures are all key.

7Would you like it

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

What people enjoy
Solving Puzzles

You'll spend your days piecing together fragmented market data, competitor moves, and customer feedback to form a complete picture. It's like a daily detective challenge.

Being given a vague question about a new market and having to figure out which data sources to trust, how to combine them, and what the real story is.

Driving Informed Decisions

Your work directly feeds into strategic choices for product development, sales tactics, and marketing campaigns. You'll see your insights in action.

Providing the competitive pricing analysis that helps the Sales team win a large deal, or informing Product on a key feature gap that gets added to the roadmap.

Continuous Learning

The market is always changing, so you'll constantly be learning about new industries, technologies, and business models. It's never boring.

Researching a completely new market segment for a potential expansion, requiring you to become a mini-expert in a short space of time.

What frustrates people
  • The 'Drive-by' Request: Getting an urgent, ill-defined request from an executive late on a Friday that needs a week of work but is 'needed by Monday morning'.
  • Confirmation Bias as a Service: Being asked to 'find the data' that supports a decision that's already been made, rather than objectively analysing the situation.
  • Death by a Thousand Contradictions: Trying to build a coherent market view when your primary data, secondary reports (Gartner vs. Forrester), and internal sales data all tell different stories.
  • The 'So What?' Deflator: Spending weeks on a deep-dive analysis only to present it to a leadership team that listens politely and then asks, 'Great, but so what does this mean for us this quarter?'
  • The Librarian Stereotype: Fighting the perception that your team is just a cost centre that pulls reports, rather than a strategic partner that provides actionable insight.
  • Budgetary Whiplash: Your expensive data terminal subscriptions (Bloomberg, Capital IQ) are often seen as a luxury and are always the first on the chopping block during budget cuts, even though they're essential.
What this role does not give you
  • Direct people management responsibilities (not at this level, anyway).
  • Complete autonomy over strategic direction (you’ll inform it, not set it).
  • A perfectly clean, well-organised data environment (you'll often be the one cleaning it up).
  • Guaranteed deployment of every insight you generate (some ideas just don't get traction).

8Who you work with

Your reliable insights help us avoid bad bets and spot opportunities. You're essentially the eyes and ears of the business in the market, making sure we’re not flying blind. Get it right, and we're more competitive; get it wrong, and we could be chasing the wrong trends.

Inside the business
  • Product Management (for competitive feature analysis)
  • Sales & Marketing (for battlecards and market positioning)
  • Corporate Strategy team (for broader market trends)
  • Finance (for market sizing and growth projections)
Outside the business
  • Market Research Vendors (managing data subscriptions)
  • Industry Analysts (following their reports and insights)

9What you need before you start

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

  • You'll need a solid grasp of quantitative analysis – meaning you're comfortable with numbers, can spot trends, and know how to present data clearly.
  • Experience working with large datasets, ideally using Excel and some SQL, to extract and manipulate information.
  • A proven ability to conduct thorough research, whether it's online, through academic papers, or using industry reports. You know how to find reliable information.
  • You should be able to write clearly and concisely. We're not looking for academic essays, but for reports that get to the point and are easy to understand.
  • You'll need to be comfortable working independently on assigned tasks, managing your own workload, and asking for help when you're stuck.

10What to practise next

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

Advanced Data Storytelling & Visualisation

As more data becomes available, the ability to not just present numbers, but to craft a compelling, actionable story with them, becomes critical. Leadership doesn't want raw data; they want insights that drive decisions.

Audience-centric communication · Narrative structure for data · Choosing the right visualisation · Interactive dashboard design · Explaining 'So What?'

  • This week: Critically review one of your recent reports. Could you have told the story more clearly?
  • This month: Take an online course on data visualisation best practices (e.g., from Tableau or similar platforms).
  • Month 2: Re-design an existing dashboard to be more interactive and user-friendly, getting feedback from colleagues.
  • Month 3: Practice presenting a complex market trend to a non-technical audience, focusing purely on the story and the 'so what'.

Quick win: Before sending any report, ask yourself: 'If someone only read the first paragraph and looked at one chart, would they get the main point?' Simplify until the answer is yes.

Advanced SQL & Database Understanding

As our data infrastructure grows, being able to pull exactly what you need, efficiently, from complex databases will save huge amounts of time and ensure data integrity. You'll need to move beyond basic queries.

Window functions and CTEs (Common Table Expressions) · Performance optimisation · Database schema understanding · Data warehousing concepts (e.g., Snowflake, Databricks)

  • This week: Review existing complex SQL queries used by the team; try to understand every part.
  • This month: Complete an online course on advanced SQL (e.g., window functions, stored procedures).
  • Month 2: Take on a project that requires pulling data from multiple, less-familiar internal tables.
  • Month 3: Work with a data engineer to understand the architecture of one of our key data sources.

Quick win: Start using CTEs in your SQL queries today – they make your code cleaner and easier to debug, which future-you will appreciate.

11Staying current once you are in

What people here do to keep up
  • Regularly read industry publications, analyst reports (Gartner, Forrester), and business news (Financial Times, The Economist) to stay on top of market trends.
  • Attend webinars or online courses on advanced Excel, SQL, or Python for data analysis to keep your technical skills sharp.
  • Participate in internal 'lunch and learn' sessions where colleagues share insights or new tools they've discovered.
  • Join relevant professional groups on LinkedIn or local meetups to network and learn from peers in the market intelligence space.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration

Honestly, competitors are already using tools like ChatGPT and Claude to draft reports in minutes that used to take hours. Analysts who figure out how to effectively use these tools will outproduce their peers significantly. It's not about replacing you; it's about making you much more efficient.

  • Context windows and token limits
  • Temperature settings for different tasks
  • RAG (Retrieval Augmented Generation) architectures
  • Output validation and hallucination detection
  • Prompt chaining for complex analysis

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • TAM/SAM/SOM Analysis
  • Competitive Benchmarking
  • Win/Loss Analysis Contribution
  • Primary Research Design (Basic)
  • Porter's Five Forces / SWOT Application

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

    Market Intelligence Analyst (L1)

    1-2 years

    Skills to master

    • Mastering data collection from various sources, basic report generation, and understanding our internal data structures. You'd be focused on accuracy and efficiency in task execution.

    You're ready to move on when

    • Consistently delivering accurate data for all assigned tasks.
    • Proactively identifying and flagging data discrepancies.
    • Demonstrating a solid understanding of our core market and competitors.
  2. 2

    Junior Business Analyst / Financial Analyst

    2-3 years

    Skills to master

    • Strong analytical modelling in Excel, understanding business drivers, and presenting findings to internal stakeholders. You'd bring a strong commercial lens to the role.

    You're ready to move on when

    • Proven ability to build robust financial or business models.
    • Experience presenting data-driven insights to non-technical audiences.
    • A keen eye for commercial implications of market data.
  3. 3

    Management Consulting (Junior Associate)

    1-2 years

    Skills to master

    • Structured problem-solving, rapid market research, and client-facing communication. You'd be used to synthesising information quickly and under pressure.

    You're ready to move on when

    • Experience working on multiple client projects, often involving market analysis.
    • Strong presentation and report-writing skills.
    • Ability to quickly get up to speed on new industries.

15Where this role leads

The long view: This work can lead to designing intelligence programmes that shape strategy, managing a team of analysts, or directing market and competitive intelligence across a whole business unit.

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 Global Market Intelligence 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 Analytics Primer, worked against Global Market Intelligence Analyst.

Data Analytics Primer Level 4

Applied to your work in Global Market Intelligence Analyst

This unit aims to equip learners with a foundational understanding of data analytics, including its applications and the stages of the data analysis lifecycle. Learners will explore various data types and structures, understand the role of data within an organisation, and recognise the importance of GDPR and compliance requirements in data handling.

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 Global Market Intelligence Analyst plan, free
See Your Progress Grow Illustration
Global Market Intelligence Analyst
  • TAM/SAM/SOM Analysis
  • Competitive Benchmarking
  • Win/Loss Analysis Contribution
  • Primary Research Design (Basic)
  • Porter's Five Forces / SWOT Application
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

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

  1. Senior Global Market Intelligence Analyst (L3)

    2-3 years in this role

    This is the most direct next step, moving from owning deliverables to leading entire research projects and mentoring junior team members.

    • Advanced primary research design Designing complex surveys, leading expert interviews, and extracting deeper insights.
    • Scenario & sensitivity analysis Modelling the impact of various market events on our strategy.
    • Expert-level use of market intelligence platforms Building custom screens and integrating data into broader narratives.
Working with AI on the job

Working with AI

Where AI is starting to help

Imagine having more time to dig deeper, uncover hidden insights, and focus on the 'so what' instead of the 'how to get the data'. That's what AI can do for you in this role.

We're not just talking about buzzwords here. We're actively integrating AI tools into our daily workflow to make the Global Market Intelligence Analyst role more impactful and, frankly, more enjoyable. You'll be at the forefront of using these smart tools to automate the tedious bits and amplify your strategic thinking.

Automated Competitor Monitoring

Use AI agents to scrape, summarise, and categorise competitor news, press releases, earnings call transcripts, and regulatory filings. The AI flags significant events and provides a daily summary brief, so you don't have to manually trawl through dozens of sources. It's like having a super-fast research assistant.

Accelerated Thematic Analysis

Feed thousands of customer reviews, survey responses, or social media comments into an NLP model to instantly identify key themes, sentiment drivers, and emerging product complaints or requests. This saves you days of manual coding and helps you spot trends much faster.

First-Draft Generation

Use a generative AI assistant (like ChatGPT or Claude) with specific prompts and source documents to create the initial draft of a competitor profile, market overview, or trend report. You'll then refine and validate it, cutting down your writing time significantly and giving you a strong starting point.

Executive Summary Synthesizer

After completing a detailed analysis, use AI to generate multiple versions of an executive summary tailored to different audiences – for example, a short, punchy version for the CEO, and a more detailed one for the Head of Product. This ensures your insights land effectively with everyone.

Common questions

Common questions

How do you become a Global Market Intelligence Analyst?

Common routes in include Market Intelligence Analyst (1-2 years), Junior Business Analyst / Financial Analyst (2-3 years) and Management Consulting (Junior Associate) (1-2 years). Times vary with prior experience.

Where can a Global Market Intelligence Analyst progress to?

This role can lead on to Senior Global Market Intelligence Analyst (2-3 years in this role), depending on the skills you build.

What new skills matter most for a Global Market Intelligence Analyst?

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

Free tools

Want a read on where you stand?

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

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

Or try another one

17Where to go from here

Other roles at Level 3

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

 More jobs in corporate strategy

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

Skills built here, market analysis, competitive research, data storytelling and strategic thinking, transfer easily. They can lead to roles in corporate development, product strategy, management consulting, or venture capital and private equity, drawing on a solid grasp of how businesses compete.

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 Global Market Intelligence Analyst 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.