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

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

Also advertised as Competitive Intelligence Analyst · Market Research Specialist · Strategy Analyst (Market Focus)

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 8 standards

BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 2 of 8 standards

Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 2 of 8 standards

Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 2 of 8 standards

NCFE Level 4 Diploma: Data Analyst NCFE · Level 4 · covers 1 of 8 standards

City & Guilds Level 3 Certificate In Providing Financial Services City & Guilds Limited · Level 3 · covers 1 of 8 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 Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts

Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England

Data Management NCFE Level 4 Diploma: Data Analyst

Collating and analysing statistical insurance data City & Guilds Level 3 Certificate In Providing Financial Services

The future skills this job leans on

AI Fluency working with AI as a thinking partner

Data Fluency turning numbers into a decision

Start my Market Intelligence Analyst plan, free

Your Plan Illustration

Built for Market Intelligence Analyst

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

Data Analytics Primer NOCN · covers 3 of 8 standards Level 4
Data Analysis BCS, The Chartered Institute for IT · covers 2 of 8 standards Level 4
Data Analytics Pearson Education Ltd · covers 2 of 8 standards Level 4
Data Management NCFE · covers 1 of 8 standards Level 4
Collating and analysing statistical insurance data City & Guilds Limited · covers 1 of 8 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 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

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision

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

3What this role really is

A Market Intelligence Analyst researches markets and competitors to give decision makers solid facts to work with. The work means turning data into a clear story, usually managed from start to finish by one person.

4What you'd actually use

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

AlphaSense / Factiva (Market & News Aggregation) Intermediate

Running complex Boolean searches to track specific companies or market trends, setting up custom alerts, and pulling specific company filings or earnings call transcripts on demand.

Crayon / Kompyte (Competitive Intelligence Platform) Intermediate

Monitoring assigned competitors, tagging updates (e.g., pricing changes, new messaging), populating fields in 'battlecards,' and configuring basic automated reports.

Tableau / Power BI (Data Visualisation) Advanced

Building complex, interactive dashboards from scratch. This includes blending multiple data sources (e.g., Salesforce + market data) and using advanced functions to create compelling visualisations for stakeholders.

Python (pandas, BeautifulSoup, scikit-learn) Intermediate

Writing scripts to clean and merge CSVs, using BeautifulSoup for basic web scraping of structured sites, and performing exploratory data analysis in a Jupyter Notebook to uncover initial insights.

Qualtrics / SurveyMonkey (Primary Research) Intermediate

Drafting simple surveys from a template, distributing them to target audiences, and exporting raw results for analysis. You'll be able to set up basic branching logic.

Confluence / Notion (Knowledge Management) Advanced

Creating and updating pages with detailed research findings, following existing information architecture. You'll also be designing and owning sections of the knowledge base, ensuring insights are captured systematically.

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 choice	Coming in	Where you are now	The step above
Research Methodology Selection	Proposes options, requires manager approval.	Selects methodology for routine projects within established budget; consults manager for novel approaches or significant spend (>£5K).	Defines methodology for complex projects, approves spend up to £20K; consults Director on strategic research design.
Competitor Profile Updates	Updates existing profiles based on clear instructions.	Independently updates and maintains profiles for assigned competitors; flags significant changes to manager.	Defines the scope and content requirements for competitor profiles; approves major structural changes.
Market Data Procurement	Identifies potential data sources; manager approves purchase.	Recommends and justifies purchase of specific reports/data up to £5K; manager approves.	Approves purchase of reports/data up to £20K; manages vendor relationships for key data sources.
Insight Dissemination	Drafts reports/presentations for manager review.	Independently presents findings to internal stakeholders (e.g., Product, Sales teams); manager reviews before C-suite presentation.	Presents directly to senior leadership (VP level); coaches junior team members on presentation skills.

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.

Competitor Profile Accuracy

How up-to-date and correct our competitor 'battlecards' and profiles are.

Target · Maintain >95% accuracy on all Tier 1 competitor data points (e.g., pricing, features, messaging).

If a competitor changes their pricing model, you've updated our internal battlecard within 48 hours, and the sales team confirms it's correct.

Market Sizing & Forecast Variance

How close your market size estimates and segment forecasts are to actual market performance or internal sales results.

Target · Achieve a +/- 10% variance on quarterly market segment forecasts against actual revenue/market data.

Your Q3 forecast for the 'SME FinTech' segment was £12M, and the actual market size reported was £11.5M, which is a 4.2% variance – well within target.

Research Project Timeliness

Delivering assigned market intelligence projects and reports within agreed-upon deadlines.

Target · Complete 90% of assigned research projects on or before the agreed deadline.

You were asked to deliver a deep-dive on 'Emerging Payments in Europe' by 15th March, and you delivered it on 14th March.

Win/Loss Interview Completion Rate

The number of win/loss interviews you successfully conduct with customers and prospects.

Target · Conduct at least 5 win/loss interviews per month, with a minimum of 2 'loss' interviews.

In April, you completed 6 interviews: 4 with won customers and 2 with lost prospects, providing valuable feedback to Product and Sales.

Actionable Insights Delivered

How often your analysis leads directly to a change in strategy, product development, or sales approach.

Stakeholders explicitly reference your work in strategic discussions, product feature prioritisation meetings, or sales training. You'll see your recommendations turn into actual decisions and actions, not just sit on a shelf. People will say, 'Remember that report [Your Name] did? That's why we're doing X.'

Clarity of Communication

How well you can distill complex market data into clear, concise, and compelling narratives for different audiences.

Your presentations are understood quickly by non-experts. Executives don't ask for clarification on your core message. Your written reports are easy to read and get straight to the point. You'll hear comments like, 'That was really clear, thanks for cutting through the noise.'

Proactive Issue Identification

Your ability to spot emerging market trends or competitive threats before they become major problems for the business.

You flag potential issues (e.g., a new competitor gaining traction, a shift in customer sentiment) that weren't on anyone else's radar. You bring these to your manager with initial data and a proposed next step. You're not just reacting
you're anticipating.

Stakeholder Engagement & Trust

The level of trust and confidence internal teams place in your analysis and recommendations.

Teams come to you proactively for market context before starting new projects. They ask for your opinion in informal chats, not just formal meetings. They trust your data and your interpretation, even when it's not what they want to hear. You're seen as a reliable, objective source of truth.

7Would you like it

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

What people enjoy

Solving Complex Puzzles

You love the challenge of taking disparate pieces of information – a news article here, a financial report there, a customer interview – and fitting them together to form a coherent picture. It's like being a detective, but for business strategy.

Spending a day piecing together a competitor's unannounced product strategy from patent filings, LinkedIn profiles, and obscure industry forum posts.

Direct Business Impact

You get a real buzz from knowing your work directly influences significant business decisions. You want to see your analysis lead to tangible changes in strategy, product development, or how we approach sales.

Seeing a product feature you identified as a market gap get prioritised and developed, then watching it succeed in the market.

Continuous Learning & Discovery

The market is always changing, and you thrive on that. You're excited by the prospect of constantly learning about new technologies, new competitors, and evolving customer behaviours. Every day brings a new discovery.

Deep-diving into a completely new market segment you knew nothing about last week, and becoming an expert on it within a few days.

What frustrates people

The 'Urgent' C-Suite Fire Drill: Your carefully planned project gets instantly derailed by a CEO's 'quick question' about a competitor they just read about on a flight.
Being the 'Department of Bad News': Presenting a well-researched, bearish forecast on a pet project and being perceived as negative or 'not a team player' by some.
Sales Ignoring Your Work: Spending weeks creating perfect sales battlecards, only to find out months later that the sales team finds them 'too academic' and rarely uses them.
The £50k Report Problem: Knowing the exact data you need to answer a critical question is locked behind a paywall of a single, ridiculously expensive industry report that Finance won't approve.
Death by a Thousand Proxies: Trying to build a market size model when there's no direct data, forcing you to rely on a chain of increasingly shaky assumptions and proxy metrics.

What this role does not give you

A perfectly structured, predictable workload – expect curveballs.
Guaranteed implementation of every insight you generate – priorities shift.
A purely academic, hands-off research role – you're expected to form opinions and influence.
A direct management path in the short term – this is an individual contributor role.

8Who you work with

Your work directly informs our strategic planning, product roadmap decisions, and competitive sales strategies. Essentially, you help us see around corners, understand our competitive landscape, and quantify market opportunities, influencing decisions that could be worth millions of pounds.

Inside the business

Corporate Strategy Team
Product Management (especially product marketing)
Sales Leadership
Finance (for market sizing and forecasting)
Marketing (for competitive positioning)

Outside the business

Market research vendors (occasionally)
Industry analysts (for data validation)
Customers (through win/loss interviews)

9What 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 dedicated market research, business intelligence, or competitive intelligence role, or equivalent experience in a highly analytical strategy function.
Demonstrable experience in independently conducting research, analysing data, and presenting findings to internal stakeholders.
Solid understanding of core business concepts (e.g., P&L, market share, customer segmentation).
Proven ability to use at least one data visualisation tool (Tableau or Power BI) to build dashboards from scratch.
Experience with at least one programming language for data analysis (e.g., Python or R) for cleaning and manipulating data, or equivalent advanced Excel/SQL skills.

10What to practise next

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

Advanced Data Engineering for MI

As our data sources multiply and get messier, the ability to build robust, repeatable data pipelines will become essential. We can't keep manually cleaning data forever; automation is key to scale.

API Integration (RESTful APIs) · Data Warehousing Basics · Orchestration Tools (e.g., Airflow basics) · Data Quality & Validation Frameworks

This quarter: Take an online course on Python for APIs and basic SQL for data warehousing.
Next quarter: Identify one manual data collection process you currently do and try to automate it using a Python script and an API.
Month 6: Work with our data engineering team to understand how our internal data warehouse is structured.
Month 9: Propose a small project to improve data quality for a specific market intelligence dataset.

Quick win: Start exploring the APIs of tools you already use (like AlphaSense or Crayon) to see what data you can pull programmatically. Even if it's just a small script, it's a start.

Basic NLP for Text Analysis

A huge amount of market intelligence is unstructured text – news articles, social media, customer reviews. Being able to extract insights from this data automatically will be a game-changer for speed and scale.

Sentiment Analysis · Topic Modelling (e.g., LDA) · Named Entity Recognition (NER) · Text Preprocessing Techniques

This quarter: Complete an online course on Python for NLP (e.g., using NLTK or spaCy libraries).
Next quarter: Apply basic sentiment analysis to a dataset of customer reviews or competitor news articles.
Month 6: Experiment with topic modelling on a collection of industry reports to identify key themes.
Month 9: Present a small project where NLP helped you uncover an insight you wouldn't have found manually.

Quick win: Use a simple Python library to count the frequency of keywords in a set of competitor press releases. It's a basic step, but it gets you started with text data.

11Staying current once you are in

What people here do to keep up

Regularly read industry publications and analyst reports (e.g., Gartner, Forrester, IDC) to stay on top of market trends and methodologies.
Attend webinars or online courses on advanced data visualisation, Python for data science, or specific market research techniques.
Participate in industry forums or online communities for market intelligence professionals to share knowledge and learn from peers.
Seek out opportunities to present your analysis to different internal teams to hone your data storytelling and presentation skills.

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

Frankly, competitors are already using tools like ChatGPT and Claude to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't future-gazing; it's happening now.

Context Windows & Token Limits
Temperature Settings
RAG Architectures (Retrieval Augmented Generation)
Output Validation & Hallucination Detection

13What you’ll use

What you’ll use

Skills this role draws on

Technical

TAM/SAM/SOM Analysis
Win/Loss Analysis
Competitive Benchmarking
Primary Research Design (Basic)

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
Junior Market Intelligence Analyst / Associate
1-2 years
Skills to master
- Data collection, basic reporting, understanding market dynamics, using core MI tools (AlphaSense, Crayon) for simple tasks, accurate data entry.
You're ready to move on when
- Consistently delivers accurate data and reports on time.
- Can independently complete assigned research tasks with minimal supervision.
- Demonstrates a clear understanding of our key competitors and market segments.
- Proactively identifies minor data discrepancies or emerging trends.
2
Business Analyst (with Market Focus)
2-3 years
Skills to master
- Gathering business requirements, translating business questions into analytical problems, basic data modelling, stakeholder communication, project management basics.
You're ready to move on when
- Successfully completed several analytical projects with clear business impact.
- Can effectively communicate analytical findings to non-technical stakeholders.
- Shows a strong interest and aptitude for market-specific research.
- Has experience working with large datasets and presenting insights.
3
Product Marketing Analyst (with Competitive Focus)
2-4 years
Skills to master
- Understanding product positioning, messaging, competitive differentiation, sales enablement, basic market segmentation, customer journey mapping.
You're ready to move on when
- Developed competitive messaging or sales enablement materials.
- Has a deep understanding of customer needs and market fit for specific products.
- Demonstrates strong analytical skills applied to product or market problems.
- Can articulate competitive advantages and disadvantages clearly.

15Where this role leads

The long view: This work can lead into corporate strategy, product management or growth strategy roles.

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.

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 Market Intelligence Analyst.

Data Analytics Primer Level 4

Applied to your work in 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 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.

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

Start my Market Intelligence Analyst plan, free

See Your Progress Grow Illustration

Market Intelligence Analyst

TAM/SAM/SOM Analysis
Win/Loss Analysis
Competitive Benchmarking
Primary Research Design (Basic)

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

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

Senior Market Intelligence Analyst (L3)
2-3 years from this role

You'll move from owning specific analyses to leading entire research projects, forming a strong point of view, and mentoring junior team members. Your scope expands significantly.
- Scenario Planning Basics Beginning to model future market states and potential competitive moves.
- Advanced Primary Research Designing more complex surveys, potentially managing external research firms for specific projects.
- Data Governance Contributing to the standards and processes for how market intelligence data is collected, stored, and used.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, a big chunk of market intelligence work can be tedious: sifting through earnings calls, building initial competitor profiles, or trying to find themes in hundreds of customer reviews. What if you could cut that time in half, or even more? We're embracing AI to make our analysts more strategic, not just faster.

We're not just talking about buzzwords here. We're actively integrating AI tools to automate the grunt work, freeing you up to focus on the truly interesting part: finding the 'so what' in the data. Think of AI as your super-efficient research assistant, handling the initial heavy lifting so you can spend your time on deep analysis and strategic thinking.

Earnings Call Autopilot

Use AI to transcribe and summarise competitor earnings calls in real-time. It automatically extracts key themes, management sentiment, and direct quotes relevant to our business, creating a draft summary within minutes of the call ending. This means less time listening and note-taking, more time analysing.

Insight Accelerator

Feed thousands of customer reviews, forum posts, and survey verbatims into an AI model to perform topic modelling and sentiment analysis. You'll instantly identify emerging product gaps or points of dissatisfaction that would take weeks to find manually. This helps you spot trends faster than ever.

Competitor Profile Drafter

Use a generative AI assistant to create a 'Version 0.1' draft of a new competitor profile. Prompt it to scour the web for company history, funding, key products, and executive bios, providing a structured starting point for you to verify and deepen. It's like having a research intern who never sleeps.

Executive Summary Shaper

After you've done all the detailed analysis for a 20-page report, use AI to generate three different executive summaries: a one-paragraph version for the CEO, a three-bullet-point version for Slack, and a one-page version for the sales leadership team. This ensures your core message is tailored to each audience, saving you precious time on re-writing.

Common questions

How do you become a Market Intelligence Analyst?

Common routes in include Junior Market Intelligence Analyst / Associate (1-2 years), Business Analyst (with Market Focus) (2-3 years) and Product Marketing Analyst (with Competitive Focus) (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 (2-3 years from this role), depending on the skills you build.

What new skills matter most for a Market Intelligence Analyst?

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

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 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.

Market Intelligence Analyst

Where should we send it?

Two short quizzes about you

Will AI change your work as a Market Intelligence Analyst?

What's rising in its place

Prompt Engineering & LLM Integration

Skills this role draws on

Technical

How you actually get there, here

Junior Market Intelligence Analyst / Associate

Business Analyst (with Market Focus)

Product Marketing Analyst (with Competitive Focus)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

Senior Market Intelligence Analyst (L3)

Where AI is starting to help

Earnings Call Autopilot

Insight Accelerator

Competitor Profile Drafter

Executive Summary Shaper

Common questions

Want a read on where you stand?