UK

United Kingdom · Corporate strategy · Senior (5-8 years)

Senior Market Insights Manager

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  • Experience bandSenior (5-8 years)
  • Direct reportsNo direct reports
  • Reports toLead Market Insights Strategist
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Senior Market Analyst · Market Intelligence Lead · Strategic Insights Specialist

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 4 of 8 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 3 of 8 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 8 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 8 standards
Level 6 Certificate in Professional Sales Institute of Sales Professionals · Level 6 · 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 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
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Senior Market Insights Manager

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

  1. Data Analytics Pearson Education Ltd · covers 4 of 8 standards Level 5
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 3 of 8 standards Level 5
  3. Data-led Decision Making Institute of Sales Professionals · covers 1 of 8 standards Level 6
  4. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 8 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 Senior Market Insights Manager?

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

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 Senior 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

A Senior Market Insights Manager studies market trends and competitor moves, then turns data into clear recommendations for leadership.

4What you'd actually use

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

AlphaSense / Tegus Advanced

Independently designing complex search strategies, setting up alerts for key topics/competitors, and identifying non-obvious trends within the platform for your projects.

Tableau / Power BI Advanced

Developing complex, interactive dashboards from multiple data sources for your project readouts. You'll use advanced features (like LOD expressions or DAX) to create compelling narratives and mentor juniors on best practices.

SQL (PostgreSQL) Advanced

Writing complex queries with subqueries, CTEs, and window functions. You'll be performing data cleaning and transformation directly in SQL to prepare data for your analysis, often pulling from various internal databases.

Python (pandas, scikit-learn) Intermediate

Independently writing scripts for data wrangling, statistical analysis (e.g., regression, clustering), and basic NLP (e.g., sentiment analysis on customer reviews or earnings call transcripts). You'll use this to automate parts of your analysis.

Qualtrics / SurveyMonkey Advanced

Designing methodologically sound surveys (avoiding leading questions, ensuring proper logic). You'll conduct basic analysis (cross-tabs, significance testing) directly within the platform and guide others.

Anaplan / Pigment Intermediate

Providing validated market size and forecast data as inputs for our corporate financial models. You'll be able to build simple models to test scenario impacts and understand how your insights connect to the wider financial plan.

Confluence / Notion Advanced

Designing and managing the knowledge base for your insights function. You'll create templates and processes to ensure your project insights are discoverable and reusable by the wider team. This isn't just about dumping documents; it's about making information useful.

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
Project Methodology Selection Proposes options, requires full approval from supervisor. Chooses methodology for routine tasks, consults on novel approaches. Independently designs and selects methodologies for complex projects, informs Lead/Manager.
Data Source Selection & Validation Uses pre-approved sources, flags discrepancies to supervisor. Identifies and evaluates new data sources, seeks approval before purchase. Independently selects and validates primary and secondary data sources, manages vendor relationships for project-specific needs (up to £10K).
Strategic Recommendation Contributes to findings, supervisor formulates recommendations. Proposes recommendations for specific problems, requires manager review. Formulates and presents strategic recommendations to senior leadership, seeks alignment from Lead/Manager before final presentation.
Project Timeline & Scope Changes Escalates all changes to supervisor. Manages minor internal timeline adjustments, consults manager on scope changes. Manages project timelines and scope within agreed parameters, consults Lead/Manager on changes impacting other teams or significant budget implications.

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.

Project Delivery & Quality
How well you manage and deliver complex market research projects, ensuring they're on time and meet the brief.
Target · 90% of projects delivered on schedule and within agreed scope; <5% rework rate post-review.

Leading the 'New Market Entry for EMEA' project, you deliver the full analysis and recommendations by the 15th of March, with all key questions answered and no major revisions needed after the initial review.

Recommendation Acceptance & Actionability
The percentage of your strategic recommendations that are actually accepted and put into action by our internal stakeholders.
Target · >75% of key project recommendations accepted by relevant stakeholders.

Following your competitive teardown, Product agrees to prioritise three specific feature enhancements you identified as critical gaps, and Sales adopts your updated battlecards based on your findings.

Insight Accuracy & Validation
How accurate your market sizing, forecasting, and competitive predictions turn out to be over time.
Target · Market size estimates within ±10% of actuals after 12 months; 80% accuracy on key competitor predictions.

Your forecast for the 'AI-powered Customer Service' market segment predicted £2.5B by 2025, and actual market reports 12 months later show £2.6B, demonstrating strong predictive capability.

Data Integrity & Sourcing
The reliability and quality of the data sources you identify and use for your analysis.
Target · <1% error rate in data presented to leadership; all key findings triangulated with at least two independent sources.

When presenting a market growth rate, you can immediately cite the three different reports (Gartner, IDC, internal primary research) that corroborate your figure, showing robust sourcing.

Stakeholder Trust & Influence
How much your internal clients trust your judgment and proactively seek your input on strategic matters.
  • You're regularly invited to early-stage strategic planning meetings (not just asked for data after decisions are made). Senior leaders ask for your opinion on market shifts or competitor moves. They'll often say, 'What does [Your Name] think about this?'
Proactive Insight Generation
Your ability to spot emerging trends or competitive threats before anyone asks you to look into them.
  • You present an unsolicited analysis on a new market entrant that leadership wasn't aware of, or you flag a subtle shift in customer behaviour that impacts our product roadmap. You're not just reactive
  • you're ahead of the curve.
Mentorship & Team Contribution
How effectively you support and develop junior members of the team, sharing your knowledge and helping them grow.
  • Junior analysts regularly come to you for advice on methodology or problem-solving. You conduct thorough code reviews for them, offering constructive feedback. You've helped a junior team member successfully complete their first independent project, and they've told your manager how much they learned from you.
Clarity of Communication
Your knack for taking really complex data and distilling it into a clear, concise, and compelling narrative that even non-technical executives can understand.
  • Your presentations consistently get positive feedback for their clarity and 'so what' factor. People don't ask you to 'explain that chart again'. You use analogies that stick, and your executive summaries are always spot on, hitting the key takeaways without waffle.

7Would you like it

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

What people enjoy
Solving Complex Puzzles

You'll spend your days untangling messy market data, figuring out why a competitor is doing what they're doing, or predicting how a new technology will reshape our industry. It's like being a detective for business strategy, and you love the thrill of cracking the case.

You're given a vague question about 'future growth areas' and you get to design the entire research approach, from data collection to final recommendation, piecing together disparate information into a coherent strategic narrative.

Driving Tangible Impact

Your work isn't just theoretical. You'll see your insights directly influence major decisions – whether it's a new product feature, a market entry strategy, or how we position ourselves against a rival. You want your work to matter, and here, it really does.

After presenting your analysis on a specific market segment, the CEO decides to allocate an extra £5M budget to a new product initiative, directly citing your findings as the reason.

Continuous Learning & Growth

The market is always changing, and so are the tools and methodologies we use. You'll constantly be learning about new industries, new analytical techniques, and new ways to present data. If you love staying curious and expanding your skillset, you'll thrive.

You'll get to experiment with new AI tools for market scanning or delve into advanced statistical methods to refine our forecasting models, always pushing your own boundaries.

What frustrates people
  • The Confirmation Bias Gauntlet: Presenting objective findings to executives who are looking for data to support a decision they've already made. The political pressure to 'find the right answer' is real.
  • The Crystal Ball Problem: Being constantly asked for definitive predictions ('What will our competitor's revenue be next quarter?') in a world of probabilities and scenarios. You're often blamed when the forecast is wrong.
  • Data Janitor Duty: Spending 60% of your time cleaning, merging, and validating messy, incomplete data from third-party vendors before you can even begin the actual analysis.
  • The 'Urgent' Fire Drill: Your meticulously planned week of deep strategic work being completely derailed by a last-minute, 'urgent' request from the C-suite for a single data point they read about in the news.
  • Death by a Thousand Ad-Hocs: Being treated as a 'human Google' for random data requests from across the business, preventing you from focusing on proactive, high-impact strategic projects.
What this role does not give you
  • A predictable, unchanging routine – every week brings new challenges and priorities.
  • Guaranteed implementation of every single insight you generate – some great work won't see the light of day.
  • A quiet, solitary analytical role – you'll be talking to people constantly, explaining complex ideas.

8Who you work with

This role directly influences where we invest our time and money, helping us identify new growth areas and defend our position against competitors. Your insights will inform critical decisions around product development, pricing, and go-to-market strategies, ultimately driving our long-term success and profitability. You're essentially providing the compass for our strategic journey.

Inside the business
  • Corporate Strategy Leadership
  • Product Leads (across various business units)
  • Sales Leadership
  • Finance Business Partners
  • Marketing Leadership
Outside the business
  • Market Research Vendors
  • Industry Analysts (Gartner, Forrester, etc.)
  • External Data Providers

9What you need before you start

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

  • Proven experience leading complex analytical or research projects from scope to delivery.
  • Demonstrable ability to synthesise large, disparate datasets into clear, actionable strategic recommendations.
  • Strong track record of presenting to and influencing senior stakeholders.
  • Experience mentoring junior team members or guiding project teams.
  • A solid understanding of statistical analysis and research methodologies.

10What to practise next

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

Advanced Econometrics & Causal Inference

Moving beyond correlation to truly understand causation is becoming essential for strategic decision-making. As data gets richer, the expectation for rigorous causal analysis increases.

Regression Discontinuity Design (RDD) · Difference-in-Differences (DiD) · Instrumental Variables (IV) · Propensity Score Matching (PSM)

  • This quarter: Take an online course on causal inference (e.g., from Coursera or edX).
  • Next quarter: Apply one causal inference technique to a past or current market analysis project, even if it's just a proof of concept.
  • Within 6 months: Present your findings and the methodology to the wider team, highlighting the benefits of causal analysis.
  • Ongoing: Read academic papers and industry blogs on applied econometrics in business contexts.

Quick win: Start by critically evaluating existing reports: do they confuse correlation with causation? How could you reframe their findings more accurately?

Data Storytelling with Interactive Visualisations

Simply presenting charts isn't enough anymore. Leaders expect to interact with data, explore scenarios, and get immediate answers. Your ability to build truly dynamic and intuitive data experiences will differentiate you.

Dashboard Design Principles · Narrative Flow in Visualisations · Advanced Interactivity (e.g., Tableau Actions, Power BI Bookmarks) · Accessibility in Data Visualisation

  • This month: Recreate one of your existing static reports as an interactive Tableau or Power BI dashboard, focusing on user flow.
  • Next month: Get feedback from a non-technical stakeholder on its usability and clarity. Iterate based on their input.
  • Within 3 months: Explore advanced features like 'What-If' parameters or scenario builders in your dashboards.
  • Ongoing: Follow leading data visualisation experts (e.g., Cole Nussbaumer Knaflic, Edward Tufte) and apply their principles.

Quick win: Before building your next chart, sketch out the 'story' you want it to tell and how a user would interact with it. Don't just jump straight into the tool.

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences (e.g., Gartner Symposium, FinTech Week) to stay abreast of market trends and network.
  • Subscribing to and actively reading leading industry publications and analyst reports (e.g., McKinsey Quarterly, HBR, Forrester, Gartner).
  • Taking advanced courses on platforms like Coursera, edX, or DataCamp in areas like advanced statistics, machine learning, or specific domain knowledge (e.g., 'Introduction to FinTech').
  • Participating in internal knowledge-sharing sessions or presenting your research to wider 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.

Prompt Engineering & LLM Integration

This is critical within the next 6 months—it's already happening, not just a future trend. Our competitors are already using tools like GPT to draft reports in 10 minutes that used to take 2 hours. Analysts who figure this out will outproduce their peers 3:1, no exaggeration.

  • Context windows and token limits
  • Temperature settings for different tasks
  • RAG (Retrieval Augmented Generation) architectures for proprietary data
  • Output validation and hallucination detection
  • Prompt chaining for complex analysis

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Market Sizing & Forecasting (TAM/SAM/SOM)
  • Competitive Intelligence & Teardowns
  • Scenario Planning & Analysis
  • Primary Research Methodology
  • Win/Loss Analysis
  • 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

    Market Insights Analyst (L2) Internally

    2-3 years as an L2

    Skills to master

    • Independently delivering recurring reports, taking ownership of smaller ad-hoc requests, beginning to identify issues and propose solutions, and providing informal guidance to new joiners.

    You're ready to move on when

    • Consistently delivers high-quality work without significant supervision.
    • Proactively identifies opportunities for deeper analysis or new insights.
    • Has successfully led 1-2 smaller, self-contained research projects.
    • Receives positive feedback from internal stakeholders on clarity and impact of work.
  2. 2

    Management Consultant (Associate/Consultant level)

    3-5 years in consulting

    Skills to master

    • Structured problem-solving, client management, executive communication, and deep-dive analytical projects across various industries.

    You're ready to move on when

    • Experience managing workstreams or modules within larger consulting engagements.
    • Strong track record of delivering data-driven recommendations to clients.
    • Comfortable with fast-paced, ambiguous project environments.
    • Excellent presentation and stakeholder management skills.
  3. 3

    Senior Analyst in a related function (e.g., Product Analytics, Business Intelligence)

    4-6 years in a similar analytical role

    Skills to master

    • Advanced data analysis, dashboarding, business metric definition, and translating data into business implications.

    You're ready to move on when

    • Proven ability to translate business questions into analytical approaches.
    • Experience owning significant analytical deliverables or reporting suites.
    • Comfortable working with large datasets and advanced analytical tools.
    • Demonstrated ability to present findings and influence decisions within their previous role.

15Where this role leads

The long view: This work can lead to managing a wider analytics function, or into strategy roles that shape decisions across a business.

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 Senior Market Insights Manager is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • Product Strategist / Product Manager (Senior level)

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 Senior Market Insights Manager.

Data Analytics Level 5

Applied to your work in Senior Market Insights Manager

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
Senior Market Insights Manager
  • Market Sizing & Forecasting (TAM/SAM/SOM)
  • Competitive Intelligence & Teardowns
  • Scenario Planning & Analysis
  • Primary Research Methodology
  • Win/Loss Analysis
  • 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

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

  1. Lead Market Insights Strategist (L4)

    3-5 years in this L3 role

    You'll move from leading individual projects to architecting entire research programmes for a specific domain or business unit. You'll proactively identify threats and opportunities, becoming the go-to expert.

    • Advanced Scenario Modelling Building more complex, multi-variable scenario models.
    • Vendor Management & Evaluation Taking ownership of relationships with key market data vendors.
    • Mentoring & Coaching More formal coaching of junior team members, potentially taking on informal team lead responsibilities.

  2. Product Strategist / Product Manager (Senior level)

    3-6 years in this L3 role

    You'll transition your deep market understanding directly into shaping product vision, strategy, and execution. You'll move from informing strategy to directly owning a piece of it.

    • Go-to-Market Strategy Designing how new products are launched and positioned in the market.
    • Feature Definition & Specification Translating market needs into clear, actionable product requirements for engineering teams.
    • A/B Testing & Experimentation Design Designing and interpreting product experiments to optimise performance.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of market research can be repetitive or time-consuming. Imagine if you could offload that grunt work and focus purely on the strategic 'aha!' moments. That's exactly what AI tools are doing for market insights professionals right now.

We're not just talking about buzzwords; we're talking about practical applications that will genuinely change your day-to-day. You'll gain back hours currently spent on tedious tasks, freeing you up for deeper analysis, more creative problem-solving, and more impactful strategic thinking. Here's a glimpse of how you'll be using AI to get ahead:

Automated Intelligence Briefings

Use AI agents to monitor and summarise thousands of sources – news, regulatory filings, earnings calls, patent databases – into a daily 'Competitor & Market Pulse' digest. It'll flag anomalies and key themes automatically, so you don't have to manually trawl through everything. Imagine getting a concise summary of what happened overnight, ready for your morning coffee.

Accelerated Thematic Analysis

Got hundreds of customer interview transcripts or thousands of open-ended survey responses? Feed them into an LLM to perform thematic analysis. It can identify core pain points, feature requests, and sentiment drivers in minutes, not days. This means you spend less time coding qualitative data and more time interpreting what it actually means for our strategy.

Rapid Competitor Profiling

Use an AI research assistant (like Perplexity AI) to generate a first-draft 'Competitor Profile' by synthesising public information on their strategy, leadership, financials, and product suite. This gives you a structured starting point for your deeper analysis, cutting out hours of initial information gathering. Think of it as a super-smart research assistant.

Executive Summary Synthesiser

After you've done all the heavy lifting and built a detailed analysis deck, use AI to generate multiple versions of the executive summary. You can tailor it to different audiences – a short, punchy version for the CEO, or a more detailed one for a specific business unit leader. It helps ensure your core message is crystal clear and concise, saving you precious time on wordsmithing.

Common questions

Common questions

How do you become a Senior Market Insights Manager?

Common routes in include Market Insights Analyst Internally (2-3 years as an L2), Management Consultant (Associate/Consultant level) (3-5 years in consulting) and Senior Analyst in a related function (e.g., Product Analytics, Business Intelligence) (4-6 years in a similar analytical role). Times vary with prior experience.

Where can a Senior Market Insights Manager progress to?

This role can lead on to Lead Market Insights Strategist (3-5 years in this L3 role) and Product Strategist / Product Manager (Senior level) (3-6 years in this L3 role), depending on the skills you build.

What new skills matter most for a Senior Market Insights Manager?

Increasingly, Prompt Engineering & LLM Integration. 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 and strategic skills built in this role apply across industries. You could move into strategy roles in other technology companies, financial services, consulting firms, or start-ups that need market expertise. The ability to turn data into strategy carries across sectors.

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 Senior 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.