UK

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

Market Insights Manager

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

Also advertised as Market Analyst · Insights Analyst · Competitive Intelligence Analyst (Mid-Level)

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 4 of 10 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 3 of 10 standards
BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 2 of 10 standards
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 2 of 10 standards
OCNLR Level 4 Certificate in Digital Marketing OCN London · Level 4 · covers 1 of 10 standards
OCNLR Level 4 Diploma in Digital Marketing OCN London · Level 4 · covers 1 of 10 standards

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

The units you would start with

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

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Automation Fluency building AI into how work runs
Start my Market Insights Manager plan, free
Your Plan Illustration

Built for Market Insights Manager

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

  1. Practical Data Science NOCN · covers 4 of 10 standards Level 4
  2. Data Analytics Pearson Education Ltd · covers 3 of 10 standards Level 4
  3. Data Analysis BCS, The Chartered Institute for IT · covers 2 of 10 standards Level 4
  4. Digital Analytics OCN London · covers 1 of 10 standards Level 4
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Market Insights Manager?

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

  • Advanced Prompt Engineering & LLM Integration
  • Advanced Data Storytelling & Visualisation
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 Market Insights Manager 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 involves digging into market trends and competitor moves, and turning raw data into something product and sales teams can use. It means making sense of numbers and telling a clear story from them. The work supports strategic decisions with solid market understanding, rather than guesswork. It is a mix of internal consultant and hands-on data analyst.

4What you'd actually use

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

AlphaSense / Tegus (Market Intelligence) Intermediate

Executing complex search strategies, pulling transcripts, and exporting data to identify non-obvious trends on specific queries related to competitors or market shifts.

Tableau / Power BI (Data Visualisation) Intermediate

Developing interactive dashboards from multiple data sources, modifying existing reports, and using advanced features (like LOD expressions or DAX) to create clear visual narratives.

SQL (PostgreSQL) (Data Querying) Intermediate

Writing complex queries with subqueries, CTEs, and window functions to extract and pre-process data from our internal databases for analysis. You'll also do some data cleaning directly in SQL.

Python (pandas, scikit-learn) (Advanced Analysis) Intermediate

Independently writing scripts for data wrangling, performing statistical analysis (e.g., regression), and basic NLP tasks (like sentiment analysis on customer reviews or survey responses).

Qualtrics / SurveyMonkey (Primary Research) Intermediate

Designing methodologically sound surveys, programming them, and conducting basic analysis (cross-tabs, significance testing) directly within the platform.

Confluence / Notion (Knowledge Management) Intermediate

Designing and managing the knowledge base for the insights function, creating templates and processes to ensure our insights are discoverable and reusable by the wider team.

5What you get to decide, and how that grows

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

The choiceComing in Where you are nowThe step above
Data Source Selection Uses pre-approved sources; escalates if new source needed. Independently selects appropriate data sources for routine analyses; consults manager for novel or high-cost sources. Defines and approves new data sources and vendor relationships within budget.
Analytical Methodology Follows prescribed methodology; asks for guidance on variations. Chooses appropriate methodology for routine problems; proposes alternatives for manager review on novel problems. Designs and implements new analytical methodologies; sets best practices for the team.
Report/Dashboard Design Populates existing templates; makes minor modifications with approval. Designs new reports/dashboards for specific internal clients, adhering to brand guidelines; seeks manager feedback. Defines reporting standards and dashboard strategy for the function; ensures alignment with executive KPIs.
Stakeholder Communication Communicates findings to immediate team; drafts emails for manager review. Independently communicates findings to internal clients (Product, Sales, Marketing); consults manager on sensitive topics. Presents to senior leadership (Director/VP level); manages complex stakeholder expectations.

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.

Report Accuracy
How often your market size estimates, competitor revenue figures, or trend analyses are proven correct by later actuals or validated sources.
Target · <5% variance on key market estimates; <1% error rate in data extraction

Your Q3 market size estimate for 'UK SMB SaaS' was £2.5M, and actual market data from a validated source later showed £2.4M. That's a 4% variance, which is good.

On-time Delivery of Recurring Reports
Making sure our regular market pulse updates, competitor tracking reports, and quarterly deep-dives land in stakeholders' inboxes exactly when they expect them.
Target · 95% of recurring reports delivered on schedule

The 'Monthly Competitor Scan' is due on the 5th of each month. You've delivered it on time for 11 out of 12 months, hitting our 95% target.

Data Consistency & Quality
The cleanliness and reliability of the data you use and present. This means catching errors, ensuring definitions are consistent, and that your sources are credible.
Target · Zero critical data errors reported by stakeholders in final deliverables

A Product Manager points out that the market share data for Competitor X in your report is different from last month's, and you quickly identify and correct a source mismatch, preventing a misinformed decision.

Ad-hoc Request Turnaround Time
How quickly you can respond to urgent, smaller data requests from internal teams, allowing them to keep moving forward.
Target · 80% of ad-hoc requests completed within 48 hours

Sales asks for a quick breakdown of competitor pricing for a specific segment on Tuesday morning. You get it to them by Wednesday afternoon, helping them prepare for a key client meeting.

Clarity & Actionability of Recommendations
Your ability to take complex data and turn it into clear, concise, and easy-to-understand recommendations that internal teams can actually act on.
  • Stakeholders can easily summarise your key findings
  • they frequently refer to your recommendations in their own planning
  • they ask 'what's next?' rather than 'what does this mean?'
Proactive Issue Spotting
You don't just answer questions; you spot potential problems or opportunities in the market before anyone asks. This means you're looking beyond the immediate request.
  • You flag an emerging competitor trend to Product before they've seen it
  • you highlight a potential market shift that leadership hadn't considered
  • you bring new data sources to the team's attention.
Collaboration Effectiveness
How well you work with other teams, like Product, Sales, and Marketing, to understand their needs and tailor your insights to be most useful for them.
  • Teams actively seek your input early in their planning processes
  • you're seen as a helpful partner, not just a data provider
  • positive feedback from peers and internal clients in 360 reviews.
Methodology Application
Your ability to correctly apply established market research methodologies and tools, ensuring the robustness and reliability of your analysis.
  • Your manager rarely needs to correct your approach to market sizing or competitive analysis
  • you can explain your chosen methodology clearly
  • your work holds up under scrutiny from senior analysts.

7Would you like it

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

What people enjoy
Solving Puzzles

You'll spend your days piecing together disparate data points to form a coherent picture of the market. It's like being a detective, constantly looking for clues to understand what's really going on.

You're given a vague question about 'emerging threats'. You don't just pull a report; you start looking at patent filings, investment rounds, and obscure news articles to find the subtle signals.

Making an Impact

Your analysis will directly inform decisions made by product teams, sales, and senior leadership. You'll see your insights translate into tangible actions, whether it's a new product feature or a revised sales strategy.

Your market sizing work helps the Product team decide to prioritise a new product line, and you see that product launch six months later, knowing you played a part.

Continuous Learning

The market is always changing, and so are the tools and techniques for analysing it. You'll constantly be learning about new industries, new competitors, and new ways to extract and present insights.

You're always tinkering with a new data visualisation tool or trying out a new Python library to see if it can help you uncover better insights faster.

What frustrates people
  • Spending 60% of your time cleaning and validating messy data before you can even start the actual analysis.
  • Getting 'urgent' ad-hoc requests that completely derail your planned strategic work for the week.
  • Presenting objective findings only to have them ignored or twisted to fit a pre-existing executive agenda.
  • Being asked for definitive predictions (the 'crystal ball' problem) when you can only provide probabilities and scenarios.
  • The difficulty in directly attributing the ROI of your insights, as strategic shifts take a long time to show results.
What this role does not give you
  • A perfectly clean, structured dataset to work with every day.
  • Complete autonomy to choose your own projects without alignment to business priorities.
  • A guarantee that every single insight you produce will be immediately acted upon.
  • A quiet, uninterrupted environment for deep work all the time; expect some fire drills.

8Who you work with

Your work here ensures our product, sales, and marketing teams have a solid, data-driven view of the market. You'll help us spot opportunities we might otherwise miss and understand threats before they hit us hard. Essentially, you're helping us make sure we're playing to win, not just playing to not lose.

Inside the business
  • Product Managers (for understanding feature demand and competitive gaps)
  • Sales Leadership (for battlecards and competitive positioning)
  • Marketing Leads (for market messaging and campaign targeting)
  • Finance Analysts (for market sizing inputs into financial models)
  • Corporate Strategy Team (your immediate peers and leadership)
Outside the business
  • Market Research Vendors (e.g., Gartner, Forrester, IDC)
  • Data Providers (e.g., Bloomberg, Statista)
  • Industry Experts and Consultants

9What you need before you start

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

  • A solid understanding of basic statistical concepts (e.g., mean, median, standard deviation, correlation, hypothesis testing).
  • Proven ability to clean, transform, and analyse large datasets, ideally using SQL and Python/R.
  • Experience in creating clear and compelling data visualisations and dashboards.
  • Demonstrable experience in conducting market research or competitive intelligence activities, even if it was under supervision.
  • Strong problem-solving skills, with a track record of breaking down complex questions into actionable analytical steps.

10What to practise next

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

Advanced Python for Predictive Modelling

Moving beyond descriptive analysis ('what happened') to predictive ('what will happen') is key for strategic insights. Understanding how to build and interpret basic machine learning models will allow you to forecast market shifts or competitor moves with greater accuracy.

Regression Modelling · Classification Algorithms · Feature Engineering · Model Evaluation Metrics

  • This week: Pick up a basic online course on machine learning with Python (e.g., DataCamp, Coursera). Focus on scikit-learn.
  • This month: Try to build a simple linear regression model to predict a market trend using publicly available data.
  • Month 2: Experiment with a classification model to predict customer churn based on a dummy dataset.
  • Month 3: Discuss with your manager how a simple predictive model could be applied to one of our existing market insights challenges.

Quick win: Start by understanding the basics of `scikit-learn` in Python. Just run a simple example and see how it works.

Cloud Data Warehousing (e.g., Snowflake, BigQuery)

Our data is growing, and it lives in the cloud. Understanding how to query and manage data in cloud-native data warehouses will become essential for efficient, scalable analysis. It's about getting closer to the source of truth.

Cloud Data Architecture Basics · Query Optimisation · Data Governance in the Cloud

  • This week: Ask our Data Engineering team for a quick demo of how they use Snowflake/BigQuery.
  • This month: Look for a free online tutorial on querying data in Snowflake or BigQuery. Many platforms offer free tiers for learning.
  • Month 2: Try to rewrite one of your existing SQL queries to be more efficient, thinking about how it would perform in a large cloud database.
  • Month 3: Discuss with Data Engineering how market insights data could be better integrated into our cloud data platform.

Quick win: Familiarise yourself with the basic interface of our cloud data warehouse. Just log in and explore the tables.

11Staying current once you are in

What people here do to keep up
  • Regularly reading industry publications and analyst reports (e.g., Gartner, Forrester, IDC) to stay on top of market trends.
  • Attending webinars or online courses on new data analysis techniques, AI applications in research, or advanced visualisation methods.
  • Participating in relevant industry forums or online communities to share knowledge and learn from peers.
  • Seeking out opportunities to present your findings to different internal teams to hone your communication 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.

Advanced Prompt Engineering & LLM Integration

Our competitors are already using AI to draft reports in minutes that used to take hours. Analysts who figure out how to effectively 'talk' to large language models (LLMs) and integrate them into their workflow will outproduce their peers 3:1. This isn't a 'nice to have' anymore; it's becoming critical.

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

Advanced Data Storytelling & Visualisation

As data becomes more abundant, the ability to distil it into a compelling, memorable story is what truly differentiates an analyst. Senior leaders are time-poor; they need the 'so what' presented clearly and persuasively, not just raw charts. It's about moving from showing data to driving action.

  • The SCQA Framework
  • Visualisation Best Practices
  • Audience-Centric Communication
  • The Power of Analogy

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Market Sizing & Forecasting (TAM/SAM/SOM)
  • Competitive Intelligence & Teardowns
  • Primary Research Methodology
  • Voice of the Customer (VoC) Synthesis

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

    Associate Market Analyst (L1)

    1-2 years

    Skills to master

    • Mastering data extraction and cleaning, basic report generation, understanding core market research terminology, and getting proficient with our key tools (SQL, Tableau, AlphaSense).

    You're ready to move on when

    • Consistently delivering accurate data pulls and reports with minimal supervision.
    • Proactively identifying minor data inconsistencies and suggesting fixes.
    • Demonstrating a solid understanding of our internal data structures and external market sources.
    • Starting to ask 'why' questions about the data, not just 'what'.
  2. 2

    Data Analyst / Business Intelligence Analyst (from another company/department)

    2-3 years

    Skills to master

    • Translating strong technical data skills into market-specific insights, understanding competitive dynamics, learning our industry sector, and developing strong narrative skills for strategic audiences.

    You're ready to move on when

    • Proven ability to work with large, complex datasets and build compelling dashboards.
    • Demonstrable experience in extracting actionable insights from data, not just reporting numbers.
    • A keen interest in market dynamics, competitive landscapes, and strategic business questions.
    • Quickly picking up our specific market intelligence tools and methodologies.
  3. 3

    Consultant (Junior/Associate level)

    2-4 years

    Skills to master

    • Adapting structured problem-solving to an in-house environment, deepening technical data skills (SQL/Python), and focusing on long-term impact rather than project-based deliverables.

    You're ready to move on when

    • Strong client-facing communication and presentation skills.
    • Experience in conducting research and analysis for strategic business questions.
    • Ability to quickly get up to speed on new industries and business models.
    • A desire to move from project-based work to owning ongoing insights programmes.

15Where this role leads

The long view: This work can lead to strategy roles that shape major decisions, or to managing a team of analysts.

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 Insights Manager 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 Practical Data Science, worked against Market Insights Manager.

Practical Data Science Level 4

Applied to your work in Market Insights Manager

The objective of this unit is to enable learners to apply statistical and machine learning techniques to solve data science problems. Learners will gain practical skills in regression analysis, forecasting, model creation and tuning, natural language processing, and data mining to extract valuable insights from data.

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
Market Insights Manager
  • Market Sizing & Forecasting (TAM/SAM/SOM)
  • Competitive Intelligence & Teardowns
  • Primary Research Methodology
  • Voice of the Customer (VoC) Synthesis
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 Insights Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Market Insights Manager (L3)

    2-3 years in the current role

    You'll move from owning specific reports and analyses to leading entire research projects end-to-end. You'll also start mentoring junior team members and managing more complex stakeholder relationships.

    • Advanced Primary Research Design (designing complex surveys, running qualitative interviews)
    • Scenario Planning & Analysis (developing multiple future market states and company responses)
    • Advanced Competitive Strategy (predicting competitor moves, identifying strategic gaps)
    • Budget Management (for specific projects or data subscriptions, typically up to £5K-£10K)
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of market insights work involves sifting through mountains of data, summarising reports, and doing repetitive tasks. What if you could get back 10-15 hours every week to focus on the truly strategic, interesting stuff? That's what AI can do for you here.

We're not just talking about buzzwords; we're actively integrating AI tools into our daily workflow to make us all more effective. As a Market Insights Manager, you'll be at the forefront of using these tools to automate the mundane and accelerate your analysis, giving you more time to dig deeper and provide even sharper recommendations.

Automated Intelligence Briefings

Imagine AI agents constantly monitoring thousands of news sources, regulatory filings, and earnings calls. They'll summarise it all into a daily 'Competitor & Market Pulse' digest, flagging key themes and anomalies for you. No more endless manual aggregation!

Accelerated Thematic Analysis

Got hundreds of customer interview transcripts or open-ended survey responses? Feed them into an LLM. It'll perform thematic analysis, identifying core pain points, feature requests, and sentiment drivers in minutes, not days. This frees you up for deeper interpretation.

Rapid Competitor Profiling

Need a quick overview of a new competitor? Use an AI research assistant (like Perplexity AI) to generate a first-draft 'Competitor Profile' by synthesising public information. It gives you a structured starting point for your deeper analysis, saving hours of initial digging.

Executive Summary Synthesizer

After you've done all the hard work on a detailed analysis, use AI to generate multiple versions of your executive summary. You can tailor it for different audiences – a short, punchy version for the CEO, or a more detailed one for a Product VP. It helps you nail the core message, every time.

Common questions

Common questions

How do you become a Market Insights Manager?

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

Where can a Market Insights Manager progress to?

This role can lead on to Senior Market Insights Manager (2-3 years in the current role), depending on the skills you build.

What new skills matter most for a Market Insights Manager?

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

Free tools

Want a read on where you stand?

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

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

Or try another one

17Where to go from here

Other roles at Level 3

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

 More jobs in corporate strategy

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

The skills built in this job transfer well. They can lead to roles in Corporate Strategy, Product Strategy, Growth Marketing, or investment analysis in venture capital or private equity, focused on market diligence. Turning market data into strategic recommendations is useful in many settings.

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 Market Insights Manager 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.