UK

United Kingdom · Corporate strategy · Lead (8-12 years)

Lead Analyst / MI Strategist

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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  • Experience bandLead (8-12 years)
  • Direct reports3-8 reports
  • Reports toManager, Market & Competitive Intelligence
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Market Intelligence Lead · Competitive Intelligence Strategist · Principal Market 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

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 3 of 4 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 2 of 4 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 4 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 4 standards
Level 6 Certificate in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 4 standards

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

The units you would start with

Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data-led Decision Making Level 6 Award in Data-led Decision Making
Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Foresight Fluency seeing round the corner
Change Fluency taking people through change
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Lead Analyst / MI Strategist

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

  1. Data Analytics Pearson Education Ltd · covers 3 of 4 standards Level 5
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 2 of 4 standards Level 5
  3. Data-led Decision Making Institute of Sales Professionals · covers 1 of 4 standards Level 6
  4. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 4 standards Level 5
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 Lead Analyst / MI Strategist?

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

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration
  • Advanced Predictive Analytics & Machine Learning (ML)
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 Lead Analyst / MI Strategist plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

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3What this role really is

This job designs how an organisation gathers and makes sense of market and competitive intelligence. It means setting the questions worth asking, and making sure the answers mean something. It sets the standard for how the market is understood, shaping strategic moves and spotting opportunities or threats early.

4What you'd actually use

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

S&P Capital IQ, PitchBook, Factiva, AlphaSense Advanced

Synthesising data from multiple platforms into a single view for complex research projects, tracking M&A and funding triggers, and teaching junior analysts how to use these tools effectively.

Microsoft Excel (Power Query, XLOOKUP, PivotTables, VBA) Expert

Mastering Power Query for data integration across disparate sources, building dynamic multi-year forecast models from scratch, and automating routine reports with VBA scripts for your team.

Tableau, Microsoft Power BI Advanced

Designing and building complex, interactive dashboards from raw, messy data. You'll use calculated fields and parameters to answer ad-hoc questions from leadership and enable self-service for your stakeholders.

Salesforce (Reports & Dashboards), Snowflake Advanced

Creating new custom reports in Salesforce, combining CRM data with external market data in Excel/Tableau to identify trends, and working with IT/Ops to define data warehousing requirements in Snowflake for strategic analysis.

Confluence, Notion, Microsoft PowerPoint Expert

Designing and owning the structure of our competitive intelligence repository in Confluence/Notion. Building compelling narratives and data stories in PowerPoint that influence senior leadership and get your team's insights heard.

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
Research Methodology Selection Follows pre-defined methodologies with guidance. Chooses appropriate methodology for routine problems, escalates novel ones. Designs and defines new methodologies for complex problems, owns standardisation.
Programme Budget Allocation No authority, informs supervisor of needs. Recommends budget for specific project tasks. Manages and allocates programme budget up to £100K; consults on larger spend.
Hiring for Direct Reports No authority, participates in interviews. No authority, provides feedback on candidates. Full hiring authority for direct reports, defines role requirements.
Strategic Recommendation Provides data for others' recommendations. Proposes solutions for identified issues. Develops and presents strategic recommendations to VPs, defends findings.

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.

Market Share Forecast Accuracy
How close your quarterly market share predictions are to the actual results.
Target · Achieve +/- 10% variance on quarterly market share forecasts for key segments.

If you forecast a 15% market share for a product in Q3, and the actual comes in at 16%, that's a 6.7% variance, which is well within target.

Strategic Decision Influence
The number of major product, marketing, or M&A decisions where your analysis was explicitly cited as a key influencing factor.
Target · Have your analysis cited as a key factor in at least 2 major strategic decisions per year.

Your Win/Loss programme insights directly led to a critical feature prioritisation in the Q2 product roadmap, or your competitive teardown informed a key M&A target assessment.

Intelligence Programme Adoption Rate
The percentage of relevant internal teams (e.g., Sales, Product, Marketing) actively using the intelligence outputs from your programmes (e.g., battlecards, market updates).
Target · Achieve an 80% adoption rate for your key intelligence programmes within 6 months of launch.

After launching a new competitive battlecard programme, 85% of the sales team confirms they're using them in their weekly calls.

Team Productivity & Output
The overall efficiency and volume of high-quality research outputs from your direct reports, reflecting your programme design and leadership.
Target · Maintain a consistent output of 10-12 high-quality research deliverables (e.g., reports, dashboards) per quarter from your team, with <5% requiring major revisions.

Your team delivered 11 market landscape reports and 3 deep-dive competitor profiles in Q2, with only one needing significant rework after initial review.

Strategic Impact & Proactiveness
Your ability to not just answer questions, but to anticipate future strategic needs and proactively deliver insights that lead to new initiatives or prevent issues.
  • You're regularly bringing new, unprompted insights to leadership. Your analysis often sparks new strategic discussions or changes in direction. You're seen as someone who 'sees around corners' for the business.
Stakeholder Trust & Consultation
How much other senior leaders and peers trust your judgment and actively seek your input on complex strategic challenges.
  • You're consistently invited to early-stage strategic planning meetings. VPs and Directors often reach out to you directly for your perspective before making big decisions. You're seen as a credible, unbiased source of truth.
Mentorship & Team Development
Your effectiveness in guiding, developing, and enabling your direct reports to grow their skills and take on more complex work.
  • Your direct reports show clear progression in their analytical capabilities and autonomy. They feel supported and challenged. You're actively coaching them through difficult problems and helping them build their careers.
Programme Design & Innovation
Your ability to design intelligence programmes that are not only effective but also innovative, using the best tools and methodologies to deliver unique value.
  • You're regularly proposing new research methodologies or tools. Your programmes are efficient and deliver insights that weren't previously available. You're seen as someone who pushes the boundaries of what our MI function can achieve.

7Would you like it

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

What people enjoy
Strategic Influence

You'll spend your days designing programmes that directly feed into the highest levels of strategic decision-making. Seeing your insights inform a major product launch or an acquisition target will be a huge buzz.

Your deep-dive into a new market segment directly leads to the CEO green-lighting a new investment area, based on your projected TAM.

Problem Solving & Discovery

You'll be tackling ambiguous, complex questions where there's no obvious answer. The thrill comes from piecing together disparate information, finding the 'aha!' moment, and building a robust solution.

You're given the challenge of understanding why a competitor is suddenly gaining traction in a niche market, and you design a research programme that uncovers their secret sauce.

Building & Leading Capabilities

You'll get to build entire intelligence programmes from the ground up, defining the methodologies, selecting the tools, and guiding your team to execute them. It's about creating something lasting and impactful.

You successfully launch a company-wide Win/Loss analysis programme, complete with new processes, tools, and a dashboard that's adopted by Sales and Product.

What frustrates people
  • The 'Quick Question': That dreaded 'Can you just pull one number for me?' request from an executive that actually requires re-scoping an entire programme and synthesising data from three different paid sources.
  • The HiPPO Effect: Seeing your meticulously researched, data-backed programme design or forecast get overruled at the last minute by the 'Highest Paid Person's Opinion' (HiPPO), despite all evidence.
  • Garbage In, Garbage Out (at scale): Spending a significant chunk of your team's time cleaning, validating, and reconciling messy data from internal systems and expensive external reports before you can even begin the actual, high-value analysis.
  • Sales Anecdote vs. Market Data: Presenting a comprehensive analysis of a competitor's weakness or a market trend, only to have a sales leader dismiss it with 'Well, we just lost a deal to them last week, so your data must be wrong'—even when your data is from 100s of data points.
  • The Pet Competitor: Leadership's irrational obsession with a legacy competitor, pouring resources into tracking them, while ignoring the smaller, more agile startup that is actively eating into your market share from below, despite your warnings.
  • The Crystal Ball Problem: Being held accountable for forecast accuracy when unpredictable market events (like a sudden M&A deal, a new regulation, or an economic downturn) make long-range prediction nearly impossible, even with the best models.
What this role does not give you
  • Predictable, routine tasks: This role is all about tackling novel, ambiguous problems. If you prefer a clear, unchanging daily routine, this isn't it.
  • Guaranteed implementation: Not every insight or programme you design will be fully adopted or deployed. You need to be okay with analysis informing a decision not to act.
  • Sole ownership of strategy: You're an influencer and architect, not the ultimate decision-maker for company strategy. You'll provide the data, but others will make the final calls.

8Who you work with

Your work will directly shape the direction of our entire Market Intelligence function. You're responsible for building the programmes that feed critical insights into our strategic planning, influencing everything from product development to market entry decisions. Get it right, and we're making informed, proactive moves; get it wrong, and we're playing catch-up.

Inside the business
  • VP, Corporate Strategy
  • Product Leadership
  • Sales & Marketing Directors
  • Finance Leadership
  • Peer Leads in other analytical functions
Outside the business
  • External research vendors (e.g., Gartner, Forrester)
  • Industry experts and consultants
  • Data platform providers (e.g., S&P Capital IQ, PitchBook)

9What you need before you start

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

  • Proven track record of successfully leading complex analytical projects from conception to delivery.
  • Demonstrable experience in mentoring junior analysts or leading small project teams.
  • Strong ability to translate ambiguous business questions into structured research plans and actionable insights.
  • Expert-level proficiency in at least one major data visualisation tool (Tableau or Power BI) and advanced Excel modelling.
  • A portfolio or examples of previous strategic analyses or market intelligence reports you've authored or significantly contributed to.

10What to practise next

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

Advanced Data Orchestration (Snowflake & ETL)

As our data sources multiply, simply pulling data from individual platforms won't cut it. You'll need to understand how to design and oversee robust data pipelines (ETL) to bring all our intelligence data into a central warehouse like Snowflake, making it cleaner and more accessible for your team.

Data Warehousing Principles · ETL/ELT Processes · SQL Optimisation · Data Governance & Quality

  • This week: Familiarise yourself with Snowflake's architecture and common use cases for market intelligence.
  • This month: Work with our Data Engineering team to understand our current ETL processes and identify one area for improvement for your team's data needs.
  • Month 2: Take an online course on advanced SQL for data warehousing, focusing on performance optimisation.
  • Month 3: Design a new data flow for one of your intelligence programmes, outlining how it would integrate with Snowflake and improve data quality.

Quick win: Start using Snowflake's query editor to explore large internal datasets. Challenge yourself to write more complex SQL queries than you typically would.

Advanced Data Visualisation & Storytelling

With more complex data and AI-generated insights, the ability to communicate these effectively through compelling visualisations and narratives becomes even more critical. You'll need to go beyond standard charts to create truly impactful dashboards and presentations.

Dashboard Design Principles · Advanced Chart Types · Interactive Storytelling · Data Narratives for Executives

  • This week: Review best practices for executive dashboard design (e.g., Stephen Few, Edward Tufte).
  • This month: Redesign one of your existing dashboards, focusing on interactivity and clarity for a senior audience.
  • Month 2: Take an online course on advanced Tableau or Power BI features, specifically focusing on calculated fields, parameters, and complex visualisations.
  • Month 3: Present your redesigned dashboard and the story behind it to your Manager, seeking feedback on its impact.

Quick win: Challenge yourself to create a 'one-page' executive summary dashboard for one of your programmes, using only the most essential visualisations and metrics.

11Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences (e.g., SCIP International Conference, Gartner IT Symposium) to stay on top of market trends and competitive intelligence best practices.
  • Actively participate in online communities or forums for market intelligence professionals, sharing insights and learning from peers.
  • Take advanced courses in data science, machine learning, or strategic management to deepen your analytical and strategic capabilities.
  • Seek out mentorship from senior leaders within our Corporate Strategy team or external industry experts.

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 large language models (LLMs) to draft market reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers 3:1. Your value shifts from execution to validation and interpretation.

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

Advanced Predictive Analytics & Machine Learning (ML)

Beyond basic forecasting, the ability to build and deploy more sophisticated predictive models (e.g., for market shifts, competitive moves, product adoption) will become a key differentiator. It's about moving from 'what happened' to 'what will happen, and why'.

  • Regression & Classification Models
  • Time Series Forecasting (ARIMA, Prophet)
  • Feature Engineering
  • Model Evaluation & Interpretation
  • Cloud ML Platforms (e.g., AWS SageMaker, Azure ML)

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Competitive Analysis Frameworks
  • Market Sizing & Forecasting (TAM/SAM/SOM)
  • Primary & Secondary Research Design
  • Win/Loss Analysis Programme Ownership
  • Financial Statement Analysis (Advanced)
  • Scenario & Simulation Planning (War Gaming)

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

    Senior Market Intelligence Analyst (L3)

    3-5 years as an L3

    Skills to master

    • Mastering end-to-end ownership of complex workstreams, developing a strong mentorship capability, and consistently delivering high-impact analysis that influences decisions.

    You're ready to move on when

    • Consistently sought out by peers for technical guidance and problem-solving.
    • Successfully led multiple complex analytical projects with minimal supervision.
    • Demonstrated ability to present compelling insights to senior stakeholders.
    • Proactively identified and addressed gaps in our intelligence coverage.
  2. 2

    Strategy Consultant (from a top-tier firm)

    3-6 years in consulting (e.g., Senior Consultant, Engagement Manager)

    Skills to master

    • Adapting to an in-house corporate environment, deepening industry-specific knowledge, and building long-term internal stakeholder relationships.

    You're ready to move on when

    • Strong experience in market entry, competitive strategy, or M&A due diligence.
    • Proven ability to lead project workstreams and manage client expectations.
    • Excellent communication and presentation skills to executive audiences.
    • Comfortable with ambiguous problem statements and structuring complex analyses.
  3. 3

    Product Marketing Manager (with strong analytical focus)

    5-8 years in Product Marketing

    Skills to master

    • Deepening quantitative analytical skills, moving from product-specific insights to broader market strategy, and mastering competitive intelligence frameworks.

    You're ready to move on when

    • Demonstrated ability to conduct competitive teardowns and market segmentation.
    • Strong understanding of product-market fit and go-to-market strategies.
    • Experience translating market insights into product requirements or sales enablement materials.
    • Proven ability to analyse product performance data and identify market opportunities.

15Where this role leads

The long view: This work can lead to strategic leadership roles such as Director of Market Intelligence and Strategy or VP of Corporate Strategy and Intelligence.

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 Lead Analyst / MI Strategist 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, worked against Lead Analyst / MI Strategist.

Data Analytics Level 5

Applied to your work in Lead Analyst / MI Strategist

The objective of this unit is to enable learners to understand and apply data analytics techniques for decision-making. Learners will be able to apply descriptive, predictive, and prescriptive analytic methods, utilising statistical methods, to convert raw data into actionable insights and determine the best course of action.

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.

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See Your Progress Grow Illustration
Lead Analyst / MI Strategist
  • Competitive Analysis Frameworks
  • Market Sizing & Forecasting (TAM/SAM/SOM)
  • Primary & Secondary Research Design
  • Win/Loss Analysis Programme Ownership
  • Financial Statement Analysis (Advanced)
  • Scenario & Simulation Planning (War Gaming)
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

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

  1. Manager, Market & Competitive Intelligence (L5)

    3-5 years in the Lead Analyst role

    This is a significant step into formal people management and full ownership of the MI function's strategy, budget, and team.

    • Strategic Planning & Roadmap Defining the annual research agenda and strategic priorities for the MI function.
    • Cross-functional Leadership Driving adoption of MI insights across multiple departments and ensuring alignment.
    • External Representation Representing the organisation externally on market intelligence topics.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a Lead Analyst's job isn't just about crunching numbers; it's about deep thinking, connecting dots, and shaping strategy. But the grunt work? It can eat up your day. Imagine getting back a quarter of your week to focus on the truly impactful stuff. That's what AI can do for you.

We're not just talking about basic automation here. As a Lead Analyst, you'll be using AI to scale your impact, accelerate your team's output, and free up your mental bandwidth for the complex, ambiguous problems that only a human strategist can solve. Think of AI as your super-powered research assistant and content generator, allowing you to design and oversee programmes rather than getting bogged down in execution.

Automated Intelligence Briefing

Use AI tools to scrape, summarise, and categorise daily news, press releases, and earnings call transcripts for 15+ competitors. The system drafts a daily 'market pulse' email, highlighting the top 3 most critical updates for your team and leadership. You'll design the prompts and validate the output, not spend hours reading.

Sentiment Analysis at Scale

Point an NLP model at thousands of customer reviews (from G2, TrustRadius) or social media mentions for your product and key competitors. Instantly generate a dashboard showing sentiment trends and key themes (e.g., 'Competitor X is consistently praised for ease of use but criticised for poor support'). You'll interpret the trends, not manually tag data.

AI Research Assistant

Use a generative AI assistant (like Perplexity AI or a specialised GPT) as a starting point for designing research. Ask it to 'Summarise the key drivers of the cybersecurity market in EMEA for a strategic planning session' or 'Identify the top 5 experts on quantum computing and their recent publications' to accelerate the initial discovery phase of a new programme. You'll refine the questions, not dig through pages of search results.

Audience-Specific Draft Generation

After completing a complex analysis, feed the key findings and data points into an AI model. Prompt it to 'Write a 3-bullet-point executive summary for the CEO' and then 'Write a 2-page detailed brief for the Product Management team, highlighting implications for the roadmap.' This creates tailored first drafts instantly, allowing you to focus on refining the narrative and strategic implications.

Common questions

Common questions

How do you become a Lead Analyst / MI Strategist?

Common routes in include Senior Market Intelligence Analyst (3-5 years as an L3), Strategy Consultant (from a top-tier firm) (3-6 years in consulting (e.g., Senior Consultant, Engagement Manager)) and Product Marketing Manager (with strong analytical focus) (5-8 years in Product Marketing). Times vary with prior experience.

Where can a Lead Analyst / MI Strategist progress to?

This role can lead on to Manager, Market & Competitive Intelligence (3-5 years in the Lead Analyst role), depending on the skills you build.

What new skills matter most for a Lead Analyst / MI Strategist?

Increasingly, Prompt Engineering & LLM Integration and Advanced Predictive Analytics & Machine Learning (ML). These are the skills our record of this role lists as growing.

Free tools

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17Where to go from here

Other roles at Level 5

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 analytical, strategic and leadership skills involved transfer well. They can lead into corporate strategy, product management, business development, or venture capital and private equity, where market insight matters. The ability to dissect markets and read competitive dynamics has value across most industries.

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 Lead Analyst / MI Strategist 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.