UK

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

Market Intelligence Analyst

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

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

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

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 Market Intelligence Analyst

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

This role is all about getting your hands dirty with market data and turning it into something useful. You'll be the one digging into competitor reports, crunching numbers on market sizes, and making sure our internal teams have the facts they need. It's not just about pulling data; it's about making sense of it and spotting the patterns that matter.

2What you'd actually use

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

Syndicated Data Platforms (e.g., Capital IQ, PitchBook, Factiva)Intermediate

Pulling company profiles, financial data, news screens, and basic industry reports to support competitor analysis and market sizing.

Excel (Power Query, basic VBA)Intermediate

Building clean pivot tables, using advanced functions like XLOOKUP, INDEX/MATCH, and occasionally recording simple macros to automate repetitive data cleaning or formatting tasks.

SQL (basic SELECT queries)Intermediate

Writing simple SQL queries to extract specific data from our internal data warehouse (e.g., customer segmentation, product usage data) to enrich market analysis.

Data Visualization & BI (e.g., Tableau, Power BI)Basic

Connecting to clean data sources, building simple, pre-defined charts and dashboards, and updating existing visualisations to reflect new data.

Competitive Intelligence Platforms (e.g., Crayon, Klue)Basic

Consuming and contributing information (e.g., uploading a competitor's datasheet or a relevant news article) and helping to curate content within the platform.

3What you get to decide, and how that grows

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

The choiceComing inWhere you are nowThe step above
Data Source Selection for a New MarketWould ask supervisor for specific sources to use and how to access them.Would research and propose 2-3 credible data sources, explaining their pros and cons, then seek approval from manager.Would independently select and procure necessary data sources, informing leadership of the decision and rationale.
Report Format & StructureWould follow existing templates strictly, asking for guidance on any deviations.Would adapt existing templates or propose minor structural changes for clarity, seeking feedback from manager before finalising.Would design new report formats and structures based on stakeholder needs, with minimal oversight.
Prioritisation of Routine TasksWould rely on daily task lists provided by supervisor.Would independently prioritise your own daily and weekly tasks based on agreed objectives, escalating conflicts to your manager.Would manage and prioritise a small portfolio of projects, negotiating deadlines with stakeholders and managing team capacity.
Addressing Data DiscrepanciesWould flag the discrepancy to supervisor and await instructions.Would investigate the discrepancy, attempt to triangulate with other sources, and propose a resolution to manager.Would independently resolve discrepancies, documenting the fix and informing relevant stakeholders.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Data Integrity
Accuracy of data pulled from various sources and used in reports.
Target · <1% error rate on all data points and report inputs.

You've pulled 500 data points for a competitor analysis, and only 2 had to be corrected after review, meaning a 0.4% error rate – spot on.

Timeliness of Standard Reports
Completion rate of recurring market intelligence reports within agreed-upon deadlines.
Target · 95% of standard analysis requests completed within the agreed SLA (e.g., 48 hours for routine requests, 5 days for weekly reports).

Your weekly competitor news digest consistently lands in inboxes by Monday morning, allowing sales to prep for the week ahead.

Stakeholder Satisfaction (Routine Requests)
How happy our internal clients are with the quality and clarity of your routine analyses.
Target · Average satisfaction score of 4 out of 5 from internal clients on specific project feedback.

After delivering a market sizing report, the Product Manager tells your boss it was exactly what they needed and easy to understand.

Market Model Refresh Accuracy
The precision of your updates to existing TAM/SAM/SOM models.
Target · Updates to existing market models show a variance of no more than +/- 5% from previous, validated models, unless a significant market event justifies a larger shift.

You updated the TAM for our EMEA region, and the new figure was within 3% of last year's validated number, reflecting minor market shifts rather than calculation errors.

Proactive Issue Identification
Spotting potential data discrepancies or emerging market trends without being asked.
  • You'll bring up a conflicting data point from a new source during a team meeting. You'll flag a subtle shift in a competitor's messaging that others might have missed. You're not just answering questions, you're asking them.
Clarity of Communication
Presenting complex data in a way that's easy for non-experts to grasp.
  • Your slides are clean and tell a clear story. People don't ask for clarification on your numbers. You can explain a market trend to a sales rep in a way they can immediately use.
Reliability & Follow-Through
Consistently delivering on commitments and keeping people updated.
  • If you say you'll have a report by Friday, it's there. If there's a delay, you've already communicated it. People know they can count on you to get the job done without constant chasing.
Contribution to Team Knowledge
Sharing new data sources, methodologies, or insights with the wider team.
  • You'll share a useful trick you found in Excel or a new way to query a data platform. You'll contribute to our internal knowledge base with your findings, helping everyone get better.

5Would you like it

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

What people enjoy
Solving Puzzles

You'll get a kick out of piecing together disparate data points – a news article, an earnings transcript, a sales report – to form a coherent picture of the market. It's like being a detective, but with spreadsheets.

You're given a vague question about a new market and you enjoy the process of finding the right data, cleaning it up, and building a model to answer it.

Having an Impact

Seeing your analysis directly influence a conversation or a decision, even a small one, will be really rewarding. You'll want your work to actually be used, not just sit on a server.

You present a new competitive insight to the sales team, and they tell you it helped them win a deal the following week.

Continuous Learning

The market, our competitors, and the tools we use are always changing. You'll enjoy staying on top of these shifts, learning new analytical techniques, and understanding new industries.

You actively seek out webinars on new market sizing methodologies or spend time learning a new feature in our data platforms.

What frustrates people
  • The 'Urgent Executive Ask': That seemingly simple request from a C-level exec at 4 PM that completely derails your planned work for the next few days.
  • Being the 'Bad News Bearer': Having to objectively present analysis that shows a senior leader's pet project is aimed at a shrinking market or faces insurmountable competition.
  • The Anecdotal 'Intel' from Sales: Constantly having to validate or debunk 'intel' from a single sales rep's bad call that contradicts months of systematic research.
  • Insight-to-Action Lag: Presenting a clear competitive threat, only to watch the organisation take months to formulate a response.
  • The 'Crystal Ball' Expectation: Stakeholders expecting you to predict the future with absolute certainty, rather than providing a probabilistic view of potential outcomes.
What this role does not give you
  • A predictable, unchanging routine – the market doesn't allow for it.
  • Direct people management responsibilities (that comes later).
  • Full strategic decision-making authority (you're providing the inputs, not making the final call).
  • Guaranteed implementation of every insight you generate.

6Who you work with

Your work directly feeds into our strategic planning cycles, product roadmaps, and sales enablement efforts. Get it right, and we're making informed, data-backed decisions. Get it wrong, and we might chase the wrong market or underestimate a competitor, which can have real financial consequences.

Inside the business
  • Product Management (for competitor features and market demand)
  • Sales & Marketing (for battlecards and market positioning)
  • Finance (for market sizing and growth forecasts)
  • Corporate Strategy team peers (for project collaboration and data sharing)
Outside the business
  • Syndicated data vendors (e.g., Capital IQ, PitchBook)
  • Market research firms (when we commission specific studies)
  • Industry analysts (for validating trends and gathering insights)

7What you need before you start

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

  • At least 2 years of experience in a market research, business intelligence, or analytical role, ideally within a corporate setting.
  • Demonstrable experience with data extraction and manipulation using Excel and/or SQL.
  • Proven ability to summarise complex information clearly and concisely, both in writing and verbally.
  • A genuine curiosity about markets, competitors, and what makes businesses tick.
  • A degree in a relevant field like Business, Economics, Statistics, or a similar quantitative discipline (or equivalent experience, of course).

8What to practise next

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

Advanced Data Modelling & Automation

As data volumes grow and reporting needs become more complex, manual processes just won't cut it. The ability to build robust, automated models will be essential for efficiency and accuracy.

Advanced Excel (Power Query, Data Model) · SQL for Data Transformation · Scripting for Automation (e.g., Python basics)

  • This quarter: Dive deeper into Power Query in Excel – it's a game-changer for data cleaning.
  • Next quarter: Take an online course on intermediate SQL, focusing on joins, subqueries, and window functions.
  • Month 6-9: Start exploring basic Python for data manipulation (pandas library is a great start).
  • Ongoing: Look for opportunities to automate one small, recurring task you do manually.

Quick win: Identify one spreadsheet you update weekly that takes more than an hour. Can you automate even a small part of it with a new Excel formula or a recorded macro?

9Staying current once you are in

What people here do to keep up
  • Attending industry webinars or conferences focused on market trends and competitive intelligence.
  • Taking online courses to deepen your skills in SQL, Excel Power Query, or data visualisation tools.
  • Reading business publications like The Economist, Harvard Business Review, or specific industry journals to broaden your market understanding.
  • Joining professional networking groups for market intelligence or corporate strategy professionals.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

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

Competitors are already using Large Language Models (LLMs) to draft reports in minutes that used to take hours. Analysts who master this will outproduce their peers significantly. It's not about replacing you, it's about making you much more powerful.

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

Your PlanIllustration

Built for Market Intelligence Analyst

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

  1. Data AnalyticsPearson Education Ltd · covers 4 of 10 standardsLevel 4
  2. Data Analytics PrimerNOCN · covers 3 of 10 standardsLevel 4
  3. Data AnalysisHighfield Qualifications · covers 2 of 10 standardsLevel 3
  4. Collating and analysing statistical insurance dataCity & Guilds Limited · covers 1 of 10 standardsLevel 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.

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 analysis)

Competitors are already using Large Language Models (LLMs) to draft reports in minutes that used to take hours. Analysts who master this will outproduce their peers significantly. It's not about replacing you, it's about making you much more powerful.

  • Effective Prompting
  • Context Windows & Token Limits
  • Output Validation
  • RAG (Retrieval Augmented Generation)

What you’ll use

Skills this role draws on

Technical

  • TAM/SAM/SOM Analysis (Basic)
  • Competitive Benchmarking (Execution)
  • Win/Loss Analysis (Data Collection)
  • Industry Trend Monitoring

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

    Junior Market Intelligence Analyst

    1-2 years

    Skills to master

    • Data extraction, basic reporting, understanding market research terminology, attention to detail, following established processes.

    You're ready to move on when

    • Consistently delivers accurate data pulls and reports on time.
    • Proactively identifies minor data issues and suggests solutions.
    • Can clearly explain basic market trends to team members.
  2. 2

    Business Analyst (from another department)

    2-3 years

    Skills to master

    • Translating business questions into analytical problems, data modelling, stakeholder communication, understanding our specific industry's market dynamics.

    You're ready to move on when

    • Successfully delivered several data-driven projects in previous role.
    • Demonstrates strong analytical problem-solving skills.
    • Shows a keen interest in external market forces and competitive landscapes.
  3. 3

    Market Research Assistant (from an agency)

    2-4 years

    Skills to master

    • In-house stakeholder management, applying research findings to specific business decisions, understanding internal data sources, adapting to a corporate pace.

    You're ready to move on when

    • Experience working on multiple client projects, managing deadlines.
    • Solid understanding of various research methodologies (qualitative and quantitative).
    • Eagerness to transition from agency-side to in-house strategic impact.

11Where this role leads

The long view:Your journey here as a Market Intelligence Analyst is just the beginning. We're committed to helping you grow, whether that's becoming a deep subject matter expert or leading your own team. The opportunities are pretty vast, honestly.

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 Market Intelligence 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.

Where it leads

Roles this leads to

12The team that's yours

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

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

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

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Data AnalyticsLevel 4

Applied to your work in Market Intelligence Analyst

The objective of this unit is to equip learners with the knowledge and skills to apply data analytics techniques in decision-making processes. Learners will be able to utilise descriptive, statistical, predictive, and prescriptive analytic methods to transform data into actionable insights, forecast future events, and determine optimal solutions for a given situation.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  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.

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.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. 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.
  3. 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.
  4. 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.
  5. 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 Market Intelligence 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.

  • Data IntegrityAccuracy of data pulled from various sources and used in reports.You've pulled 500 data points for a competitor analysis, and only 2 had to be corrected after review, meaning a 0.4% error rate – spot on.<1% error rate on all data points and report inputs.
  • Timeliness of Standard ReportsCompletion rate of recurring market intelligence reports within agreed-upon deadlines.Your weekly competitor news digest consistently lands in inboxes by Monday morning, allowing sales to prep for the week ahead.95% of standard analysis requests completed within the agreed SLA (e.g., 48 hours for routine requests, 5 days for weekly reports).
  • Stakeholder Satisfaction (Routine Requests)How happy our internal clients are with the quality and clarity of your routine analyses.After delivering a market sizing report, the Product Manager tells your boss it was exactly what they needed and easy to understand.Average satisfaction score of 4 out of 5 from internal clients on specific project feedback.
  • Market Model Refresh AccuracyThe precision of your updates to existing TAM/SAM/SOM models.You updated the TAM for our EMEA region, and the new figure was within 3% of last year's validated number, reflecting minor market shifts rather than calculation errors.Updates to existing market models show a variance of no more than +/- 5% from previous, validated models, unless a significant market event justifies a larger shift.
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

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

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Market Intelligence Analyst to Senior Market Intelligence Analyst, and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Market Intelligence Analyst→ your design
Where this takes you

Your journey here as a Market Intelligence Analyst is just the beginning. We're committed to helping you grow, whether that's becoming a deep subject matter expert or leading your own team. The opportunities are pretty vast, honestly.

See Your Progress GrowIllustration
Market Intelligence Analyst
  • TAM/SAM/SOM Analysis (Basic)
  • Competitive Benchmarking (Execution)
  • Win/Loss Analysis (Data Collection)
  • Industry Trend Monitoring
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

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

  1. Senior Market Intelligence Analyst

    3-5 years in current role

    From owning specific reports to leading complex analytical projects and mentoring others.

    • Designing and executing end-to-end primary research projects (surveys, interviews)
    • Developing and defending complex market models (e.g., detailed TAM/SAM/SOM from scratch)
    • Strategic scenario planning (contributing to war games and future outlooks)
    • Advanced data visualisation for executive audiences
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of market intelligence work can be repetitive. Imagine having a smart assistant that handles the grunt work, freeing you up to do the interesting, strategic stuff. That's exactly what AI can do for you in this role.

We're not just talking about buzzwords here. We're actively exploring and implementing AI tools to make our team more efficient. As a Market Intelligence Analyst, you'll be at the forefront of using these tools to supercharge your daily tasks, from crunching numbers to drafting reports. It's about working smarter, not just harder.

Automated Earnings Call Summaries

An AI agent can monitor competitor earnings calls and transcripts, then generate a concise daily digest of key strategic statements, new product mentions, and shifts in guidance. This means less time listening to hours of calls and more time analysing the 'so what?'.

Thematic Analysis Accelerator

Feed thousands of customer reviews, win/loss notes, or industry reports into an LLM. It'll instantly identify the top 5 emerging competitive threats, product gaps, or pricing objections. This saves you days of manual tagging and reading, letting you focus on the insights.

First Draft Narrative Generator

Give an AI model your structured data (charts, tables) and a clear prompt. The AI will generate a coherent first draft of the narrative for your report. You then refine it, add your strategic overlay, and make it shine. Think of it as having a really fast, if slightly robotic, junior writer.

Pre-Meeting Briefing Bot

Before a meeting with a business leader, an AI assistant can scan internal reports and external news to generate a one-page briefing on their priorities and relevant market intelligence. You'll walk in prepared, knowing exactly what intel they'll care about.

Common questions

Common questions

How do you become a Market Intelligence Analyst?

Common routes in include Junior Market Intelligence Analyst (1-2 years), Business Analyst (from another department) (2-3 years) and Market Research Assistant (from an agency) (2-4 years). Times vary with prior experience.

Where can a Market Intelligence Analyst progress to?

This role can lead on to Senior Market Intelligence Analyst (3-5 years in current role), depending on the skills you build.

What level is a Market Intelligence Analyst in the UK?

This role aligns to RQF Level 3 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Market Intelligence Analyst?

Increasingly, Prompt Engineering & LLM Integration (for analysis). These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

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

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

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

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Market Intelligence 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 10 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Market Intelligence 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 real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 3

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

Other roles in Corporate Strategy

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

If you leave this industry

The skills you'll build here are highly transferable. You could move into broader Corporate Strategy roles, Product Marketing, Business Development, or even into consulting, where your analytical and market understanding will be highly sought after.

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.

This role profile is © 2026Growth 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. 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.