UK

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

Intelligence Analyst

As a Competitive Intelligence Analyst, you piece together the puzzles that shape our strategic edge.

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.

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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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Where should we send it?

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 Intelligence Analyst or Lead Intelligence Strategist
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Competitive Intelligence Specialist · Market Insights Analyst · Strategic Research 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
TLM Level 3 Certificate in Cyber Security Principles The Learning Machine · Level 3 · covers 2 of 6 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 2 of 6 standards
Qualifi Level 3 Diploma in Cyber Security Management and Operations Qualifi Ltd · Level 3 · covers 2 of 6 standards
Qualifi Level 3 Extended Diploma in IT and Cyber Security Qualifi Ltd · Level 3 · covers 2 of 6 standards
NCFE Level 3 Certificate in Cyber Security Practices NCFE · Level 3 · covers 1 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
Analysis and Understanding of Cyber Threats TLM Level 3 Certificate in Cyber Security Principles
Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England
Threat and Risk: Expecting the Unexpected Qualifi Level 3 Diploma in Cyber Security Management and Operations
Threat intelligence in cyber security NCFE Level 3 Certificate in Cyber Security Practices

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
Start my Intelligence Analyst plan, free
Your Plan Illustration

Built for Intelligence Analyst

5 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. Analysis and Understanding of Cyber Threats The Learning Machine · covers 2 of 6 standards Level 3
  3. Data Analytics Pearson Education Ltd · covers 2 of 6 standards Level 4
  4. Threat and Risk: Expecting the Unexpected Qualifi Ltd · covers 2 of 6 standards Level 3
  5. Threat intelligence in cyber security NCFE · covers 1 of 6 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 an Intelligence Analyst?

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

How the AI economy is changing work like this

A broad read on this kind of work, not an analysis of this job on its own. Roles that share a pattern get the same answer here.

Fading: AI does more of this

AI is taking over routine data collection and basic report drafting, freeing you from the repetitive tasks.

→
Rising: worth more because of AI

Your ability to interpret complex data and provide strategic insights becomes more valuable than ever.

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

3What this role really is

We see you

You wonder if AI will make your role redundant, yet you know deep down that your intuition and insight can't be replicated by a machine. The tech might crunch numbers faster, but only you can see the story behind them.

An intelligence analyst studies competitors, customers and industry trends, then turns that research into a clear picture for decision makers. The work means connecting the dots across many sources, spotting risks early and flagging opportunities before they become obvious.

4A day in the life

Not a job advert. A real day, built from what this role actually holds.

08:45
You start your day scanning through overnight news alerts, updating competitor profiles with any significant developments.
11:00
You're knee-deep in a competitor's quarterly earnings call, jotting down notes and pulling out insights that could impact your company's strategy.
14:30
You conduct a win/loss interview with a recent customer, digging beyond the surface to understand what truly influenced their decision.
16:00
In a team meeting, you present your findings on a rival’s new market move, answering tough questions and providing clarity to the leadership team.

5What you'd actually use

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

Market Intelligence Platforms (e.g., AlphaSense, Tegus, PitchBook) Intermediate

You'll use these daily to pull standard reports, set up alerts for your assigned competitors, and conduct basic searches for market news and company profiles. You know your way around the platforms pretty well.

Data Visualization (e.g., Tableau, Power BI) Intermediate

You'll build and maintain dashboards from clean, structured data sources, often provided by our data team. You can create clear charts and graphs that tell a story, making sure the data is easy to understand for others.

Advanced Excel (including Power Query) Expert

You'll use Excel constantly for cleaning and transforming messy data with Power Query, building and maintaining detailed data tables, and performing complex calculations. If it can be done in Excel, you're on it.

Financial & Scenario Planning (e.g., Anaplan, Pigment) Basic

You'll input data into existing financial models and run pre-built scenarios to see different outcomes. You understand the basics of how these platforms work and what the outputs mean.

Internal Data Querying (SQL - PostgreSQL, Snowflake) Intermediate

You'll write queries with multiple joins and subqueries to extract specific data from our internal data warehouse. This helps you pull the exact information you need for your analyses, rather than relying on pre-made reports.

6What 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
Research Methodology for a New Competitor Proposes a research plan to their supervisor for review and approval, then executes under close guidance. Independently selects appropriate research methods (e.g., OSINT, platform queries) within established guidelines. Escalates if primary research or significant budget is needed. Designs and approves research methodology for complex, multi-source intelligence projects, including commissioning external primary research.
Prioritisation of Daily Tasks Follows daily task list provided by supervisor. Flags any conflicts or capacity issues for discussion. Manages own daily task prioritisation for assigned 'beats' based on established KIQs. Consults manager on conflicting urgent requests. Sets weekly priorities for their workstreams, balancing proactive research with reactive requests. Delegates tasks to junior analysts.
Data Interpretation & 'So What' Presents raw data and asks supervisor for help interpreting its significance. Provides initial interpretation and 'so what' for their assigned areas, presenting it to their manager for review and refinement. Synthesises multiple data points into strategic insights with clear recommendations for leadership, often presenting directly to senior stakeholders.

7How 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.

Accuracy & Timeliness of Intelligence
The percentage of your intelligence deliverables (reports, summaries, alerts) that are free from factual errors and delivered by agreed deadlines.
Target · 98% accuracy; 95% on-time delivery

If you produce 20 intelligence briefs in a quarter, we'd expect no more than one minor factual correction across all of them, and for 19 of those to land exactly when promised.

Coverage of Assigned 'Beats'
How thoroughly you cover your assigned competitors or market segments, ensuring we have a comprehensive and up-to-date view of their activities.
Target · Full coverage of 2-3 key competitors/segments, with weekly updates.

You're responsible for Competitor A and Market Segment X. We'd expect you to capture all significant product launches, executive changes, M&A rumours, and relevant news for both, without prompting.

Data Completeness & Quality
The extent to which the data you collect and maintain for your areas is comprehensive, well-structured, and ready for analysis.
Target · 90% completeness for all core data points; <5% data entry errors.

For your competitor profiles, 90% of all required fields (e.g., funding rounds, key hires, product features) are filled in, and any manual entries are accurate.

Quality of Initial Analysis & Synthesis
How well you go beyond just reporting facts, offering initial interpretations and connecting disparate pieces of information into a coherent narrative.
  • Evidence: Your manager consistently provides positive feedback on your draft analyses, noting clear takeaways and logical conclusions. Stakeholders comment that your summaries are easy to understand and directly relevant to their questions. You're able to articulate the 'so what' for a given piece of intelligence without much prompting.
Proactive Signal Identification
Your ability to spot early indicators of market shifts or competitor moves before they become obvious, rather than just reacting to headlines.
  • Evidence: You regularly flag subtle changes (e.g., a competitor's new job posting, a shift in their marketing language, a small investment in a new tech) that later prove to be significant. You bring these to your manager's attention with a brief explanation of why they matter.
Adherence to Ethical Intelligence Practices
Consistently following our guidelines for ethical data collection and information handling, especially when dealing with sensitive competitor information.
  • Evidence: You never engage in questionable data gathering tactics. You always cite your sources. You understand and respect confidentiality, particularly when handling internal strategic documents. Your manager trusts you implicitly with sensitive information.
Stakeholder Satisfaction (for assigned tasks)
How satisfied your internal clients are with the intelligence you provide for their specific requests and ongoing needs.
  • Evidence: You receive positive, unsolicited feedback from Product or Sales teams on the usefulness of your competitor battlecards or market summaries. They come back to you directly with follow-up questions, showing they value your input.

8Would you like it

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

What people enjoy
Solving Puzzles & Uncovering Secrets

You get a real kick out of connecting obscure data points, piecing together fragments of information, and figuring out what a competitor is *really* planning before it's public. It's like being a detective, but for business strategy.

Example: You spend hours digging through patent filings and obscure industry forums, and suddenly realise a competitor's new product launch isn't what everyone expects – it's something entirely different and potentially disruptive.

Direct Impact on Business Decisions

You love seeing your analysis actually get used. When a Sales team uses your battlecard to win a deal, or Product adjusts their roadmap because of an insight you provided, that's what makes your day. You want your work to matter.

Example: You provide a detailed breakdown of a competitor's pricing strategy, and the Sales team uses it to adjust our own pricing, leading to a noticeable uptick in conversion rates for a specific product.

Continuous Learning & Market Mastery

The idea of constantly learning about new markets, technologies, and competitive dynamics excites you. You enjoy becoming the expert on your assigned 'beat' and staying ahead of the curve, always knowing what's next.

Example: You're always reading industry news, listening to podcasts, and following key figures on LinkedIn, not because you have to, but because you genuinely want to understand the intricate workings of your market segment.

What frustrates people
  • The 'Crystal Ball' Expectation: Being expected to predict the future perfectly.
  • The Action-Insight Gap: When great insights don't lead to action.
  • The 'Hobbyist' Stakeholder: Dealing with requests based on fads rather than strategy.
  • Last-Minute Fire Drills: Urgent requests that derail your planned work.
  • Data Ambiguity: Having to work with incomplete or conflicting information.
What this role does not give you
  • A perfectly predictable daily routine – priorities often shift with market events.
  • Instant gratification – some insights take time to translate into action.
  • Complete control over strategic decisions – you inform, but don't decide.
  • A role where you only work with clean, structured data – expect a lot of messy inputs.

9Who you work with

Your reliable delivery of accurate and timely intelligence directly informs our tactical decision-making. You help us understand 'why' things are happening in the market, allowing us to react quicker and more effectively. Basically, you're helping us make sure we're not flying blind.

Inside the business
  • Your Manager (Senior Intelligence Analyst/Lead Intelligence Strategist)
  • Product Management (especially for competitor feature tracking)
  • Sales Leadership (for competitor battlecards and market trends)
  • Marketing Team (for market positioning insights)
  • Corporate Strategy Team (for input into broader initiatives)
Outside the business
  • Industry Analysts (reading their reports, attending webinars)
  • Market Research Vendors (using their platforms, reviewing their output)
  • Expert Networks (occasionally commissioning interviews)
  • Customers (through win/loss analysis data)

10What you need before you start

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

  • A proven track record of 2-5 years in an analytical role, ideally with some exposure to competitive intelligence, market research, or business analysis.
  • Demonstrable experience in independently managing research tasks and delivering clear, concise findings.
  • Strong capabilities in data manipulation and visualisation, particularly with Advanced Excel and a BI tool like Tableau or Power BI.
  • The ability to work autonomously on assigned projects, taking ownership from start to finish.
  • A genuine curiosity about markets, competitors, and strategic dynamics – you've got to want to figure things out.

11What 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 it, but to tell a compelling story with it, becomes even more crucial. Leadership needs insights that stick, not just pretty charts. This means moving beyond standard dashboards to truly impactful visual narratives.

Narrative Flow in Dashboards · Effective Chart Selection · Annotation & Contextualisation · Interactive Storytelling

  • This month: Pick one of your existing dashboards and try to redesign it with a specific 'story' in mind, focusing on one key insight.
  • Month 2: Read 'Storytelling with Data' by Cole Nussbaumer Knaflic (if you haven't already) and apply 2-3 principles to your next presentation.
  • Month 3: Get feedback from a non-technical stakeholder on whether your visualisations are clear and impactful. Iterate based on their input.

Quick win: For your next report, focus on one single, powerful chart that summarises your main finding, and write a clear, concise headline for it. Less is often more.

Deepening SQL & Data Modelling

As our internal data sources grow, being able to pull exactly what you need, efficiently and accurately, becomes more important. Relying solely on pre-built reports or basic queries won't cut it for complex intelligence questions. You'll need to understand the underlying data structures better.

Window Functions · Common Table Expressions (CTEs) · Basic Data Modelling Concepts · Query Optimisation

  • This month: Challenge yourself to write one complex query using a window function for a problem you're currently working on.
  • Month 2: Take an online course on intermediate SQL or data modelling (we can recommend some).
  • Month 3: Work with a data engineer or a more senior analyst to review your SQL queries and learn best practices for performance.

Quick win: Start looking at the 'explain' plans for your SQL queries to understand how they're running. Even just seeing it will start to build your intuition for performance.

12Staying current once you are in

What people here do to keep up
  • Attending industry webinars or conferences related to competitive intelligence or your assigned market 'beats'.
  • Subscribing to and regularly reading key industry publications and analyst reports.
  • Taking online courses to deepen your skills in SQL, advanced Excel, or data visualisation.
  • Participating in internal knowledge-sharing sessions or presenting your findings to broader teams.
  • Seeking out opportunities to mentor more junior analysts, even informally – it helps you solidify your own understanding.

13The 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 10 minutes that used to take us 2 hours. Analysts who figure this out will outproduce their peers by a mile. This isn't just a 'nice to have' anymore; it's critical within the next 6-12 months.

  • Context Windows & Token Limits
  • Temperature Settings for Different Tasks
  • RAG (Retrieval Augmented Generation)
  • Output Validation & Hallucination Detection
  • Prompt Chaining for Complex Analysis

14What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Competitive Intelligence (CI) Cycle
  • Market Sizing & Opportunity Analysis
  • Win/Loss Analysis Support
  • Strategic Frameworks Application (Basic)
  • Primary Research Management (Support)

15The 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

    Associate Intelligence Analyst (L1)

    1-2 years

    Skills to master

    • Data gathering and cleaning, basic reporting, understanding key intelligence questions, attention to detail, learning our internal tools and processes.

    You're ready to move on when

    • Consistently delivers accurate data and reports on time.
    • Demonstrates a solid understanding of our core intelligence platforms.
    • Proactively identifies and flags potential data quality issues.
    • Shows initiative in learning new research techniques.
  2. 2

    Junior Business Analyst / Data Analyst

    2-3 years

    Skills to master

    • Strong analytical problem-solving, data manipulation (Excel, SQL), basic data visualisation, understanding business requirements, translating data into initial insights.

    You're ready to move on when

    • Can independently extract and analyse data to answer specific business questions.
    • Presents clear, data-backed findings to internal stakeholders.
    • Shows a keen interest in understanding market dynamics and competitive landscapes.
    • Comfortable working with ambiguous data sets and making reasoned assumptions.
  3. 3

    Market Research Analyst

    2-4 years

    Skills to master

    • Designing and executing market research projects, survey methodologies, qualitative and quantitative data analysis, report writing, understanding market trends and customer behaviour.

    You're ready to move on when

    • Experience managing end-to-end market research projects (even small ones).
    • Strong ability to synthesise primary and secondary research into actionable insights.
    • Demonstrates an understanding of competitive positioning and market segmentation.
    • Excellent written and verbal communication skills for presenting research findings.

16How people get here · where they go next

Came from
Market Research Assistant / Associate
2-4 years
You mastered the art of synthesising diverse information into coherent narratives, laying the groundwork for insightful analysis.
You are here
Intelligence Analyst
Mid-Level (2-5 years)
An intelligence analyst studies competitors, customers and industry trends, then turns that research into a clear picture for decision makers. The work means connecting the dots across many sources, spotting risks early and flagging opportunities before they become obvious.
Goes to
Senior Competitive Intelligence Analyst (L3)
2-3 years
You'll lead complex projects and mentor junior analysts, shaping the competitive intelligence strategy.

The long view: This work can lead to managing intelligence programmes as a lead strategist, then running a full analyst team as a manager, and later directing intelligence work at a senior level.

17Pay and demand

Pay & demand

Typical pay £41,128 a year Source: ONS Annual Survey of Hours and Earnings, 2025 (provisional), under the Open Government Licence v3.0

The figure is the median for full-time employees in the ONS occupation this job title codes to (Business and related research professionals), from the April 2025 survey, about six months old when published, as ASHE always is. It is that occupation's middle, not this role's. Half earn more.

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 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 Intelligence Analyst.

Data Analytics Primer Level 4

Applied to your work in 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.

The Navigator Last time, we talked about how your competitor profiles are crucial for strategic planning. How did the last update go?

You I think it went well, but I'm still unsure if I captured all the key insights.

The Navigator Let's focus on refining your synthesis skills. Review your notes and highlight any patterns or anomalies you spotted, then we'll discuss how these could influence our strategic decisions.

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 Intelligence Analyst plan, free
A year from now

A year from now, you confidently lead strategic discussions, your insights driving key decisions and setting the company apart.

See Your Progress Grow Illustration
Intelligence Analyst
  • Competitive Intelligence (CI) Cycle
  • Market Sizing & Opportunity Analysis
  • Win/Loss Analysis Support
  • Strategic Frameworks Application (Basic)
  • Primary Research Management (Support)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

18The 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

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

  1. Senior Intelligence Analyst (L3)

    2-3 years from Intelligence Analyst

    You'll move from independently managing specific 'beats' to leading small research projects end-to-end. You'll also start mentoring junior team members and taking on more complex, ambiguous intelligence questions.

    • Deep Dive Analysis Synthesising multiple disparate data sources into comprehensive, non-obvious insights.
    • Strategic Recommendation Formulation Moving beyond 'so what' to 'what next' with clear, data-backed recommendations.
    • Ethical HUMINT (Human Intelligence) Collection Learning to gather insights from industry contacts and conferences ethically.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of intelligence work can be tedious: sifting through mountains of data, summarising long reports, and constantly monitoring for tiny signals. But what if you could offload a lot of that grunt work to AI? Imagine getting back 10-15 hours every single week to focus on the truly strategic stuff – the deep analysis, the creative problem-solving, and the high-impact insights.

We're not talking about replacing you; we're talking about giving you a superpower. Our AI tools are here to handle the repetitive, time-consuming tasks that often bog down an Intelligence Analyst. This means you can spend more time thinking, less time clicking, and deliver more impactful insights faster than ever before. It's about working smarter, not just harder.

Automated Competitor Monitoring

Imagine an AI agent constantly scanning regulatory filings, patent databases, job postings, and news for keywords related to your assigned competitors. It then delivers a summarised daily briefing straight to your inbox, flagging the most critical signals and saving you hours of manual searching. You get the highlights, not the haystack.

Accelerated Transcript Analysis

Got dozens of expert interview or earnings call transcripts? Instead of reading every single word, feed them into an LLM. You can ask it to 'identify the top 3 strategic priorities mentioned by Competitor X' or 'summarise the sentiment regarding supply chain issues across all calls.' It'll give you the gist in minutes.

Instant M&A Target Pre-Briefing

Need a quick overview of a potential acquisition target for a last-minute meeting? Use an AI tool to generate an instant 'tearsheet' – a concise summary of their latest financials, leadership changes, and strategic direction from public sources. You'll walk into that meeting prepared, even if you only had minutes to spare.

Stakeholder-Tuned Drafts

You've got your key findings, but now you need to write an executive summary. Provide an LLM with your insights and a persona (e.g., 'a skeptical Head of Product focused on feature parity'). Ask it to write a first draft tailored to that persona's likely questions and concerns, saving you hours of tweaking.

Common questions

Common questions

How do you become an Intelligence Analyst?

Common routes in include Associate Intelligence Analyst (1-2 years), Junior Business Analyst / Data Analyst (2-3 years) and Market Research Analyst (2-4 years). Times vary with prior experience.

Where can an Intelligence Analyst progress to?

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

What new skills matter most for an 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

19Where 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

The skills built here, analytical thinking, market understanding, strategic communication and ethical research, apply beyond intelligence work. They can lead into corporate strategy, product strategy, management consulting, or venture capital and private equity, where reading markets and competitors matters. The ability to connect information and explain what it means is useful across many fields.

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 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.