UK

United Kingdom · Corporate Strategy · Entry Level (0-2 years)

Associate Market Intelligence Analyst

As an Associate Market Intelligence Analyst, you become the detective who uncovers the market's hidden stories.

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.

  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toMarket Intelligence Analyst
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Market Intelligence Analyst · Market Research Assistant · Competitive Intelligence Associate

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Associate Market Intelligence Analyst

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free
We see you

You sometimes wonder if AI will make your role less relevant, but you also see its potential to free you from the mundane tasks. It's a mix of excitement and trepidation as you navigate this evolving landscape.

1What this role really is

This role is all about getting your hands dirty with market data. You'll be the person digging through reports, tracking competitor moves, and helping the team build a clear picture of what's happening out there. It's a foundational role, meaning you'll learn the ropes from the ground up, working closely with more experienced analysts. Think of it as being the eyes and ears for the strategy team, gathering the raw ingredients for our big decisions.

2A day in the life

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

08:45
You grab your coffee and log into AlphaSense, setting up your first search of the day to catch any overnight industry news.
11:00
You update competitor profiles in Crayon, making sure the sales team has the freshest insights at their fingertips.
14:30
You clean up a messy CSV file using Python scripts, preparing the data for deeper analysis by your senior colleagues.
16:15
You draft a quick survey in SurveyMonkey, aiming to capture fresh customer feedback for the next strategy meeting.

3What you'd actually use

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

AlphaSense / Factiva (Market & News Aggregation)Basic

Running pre-set searches, exporting data, creating simple alerts for specific companies or keywords. Pulling specific company filings and earnings call transcripts on demand for senior analysts.

Crayon / Kompyte (Competitive Intelligence Platform)Basic

Monitoring assigned competitors for updates (e.g., pricing changes, new messaging), tagging updates, and populating fields in 'battlecards' for the sales team.

Tableau / Power BI (Data Visualization)Basic

Using existing templates to create standard weekly/monthly reports. Connecting to clean, pre-prepared data sources to refresh dashboards and extract basic data views.

Python (pandas, BeautifulSoup basics)Intermediate

Writing simple scripts to clean and merge CSVs. Using BeautifulSoup for basic web scraping of structured websites to collect publicly available data. Performing exploratory data analysis in a Jupyter Notebook under guidance.

Qualtrics / SurveyMonkey (Primary Research)Basic

Drafting simple surveys from a template, distributing them to target audiences, and exporting raw results for analysis by senior team members.

Confluence / Notion (Knowledge Management)Intermediate

Creating and updating pages with research findings, ensuring they follow existing information architecture and tagging conventions to keep our knowledge base organised.

4What 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 inWhere you are nowThe step above
Data Source SelectionFollows prescribed sources; escalates if a required source is unavailable or unclear.Selects appropriate sources for routine tasks; proposes new sources for manager approval.Evaluates and recommends new data sources; makes decisions on primary/secondary mix for projects.
Methodology for Data CollectionUses established procedures and templates; seeks guidance for deviations.Adapts standard approaches for varied situations; proposes minor methodological adjustments.Designs and implements new data collection methodologies for complex problems.
Prioritisation of TasksWorks on tasks assigned by manager; flags conflicting priorities to manager.Manages own task queue for assigned projects; negotiates minor priority shifts with stakeholders, informing manager.Sets priorities for own workstream; influences broader team priorities with manager's input.

5How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Data Accuracy
The percentage of market data points you collect or update that are free from errors.
Target · >98% accuracy

If you update 50 competitor pricing points, we'd expect no more than one to be incorrect when cross-referenced with the source.

Timeliness of Ad-Hoc Requests
How quickly you turn around specific data requests from the team.
Target · 95% of requests fulfilled within 48 hours

A senior analyst asks for Q3 earnings call transcripts for three specific competitors on Monday, you'd have them ready by Wednesday morning.

Competitor Profile Coverage
Ensuring all assigned Tier 1 competitor profiles are updated with the latest information.
Target · 100% of assigned profiles updated quarterly

You're responsible for keeping 5 competitor profiles current; all 5 should reflect recent product launches, funding rounds, or strategic shifts by the end of each quarter.

Proactive Information Sharing
How often you spot something interesting or important and share it with the team without being asked.
  • You'll be flagging articles, press releases, or social media chatter that seems relevant to our strategy. We'll see you posting in our team Slack channel with 'FYI, noticed X from Competitor Y'. It shows you're actually thinking about what you're seeing, not just ticking boxes.
Understanding of Market Context
Your growing ability to understand why certain pieces of information are important to our business.
  • When you present data, you're starting to connect the dots a bit: 'This new product launch from Competitor A seems to target our Z segment.' You're asking thoughtful questions about the 'why' behind the data, not just the 'what'. Your manager will notice you're picking up on the bigger picture.
Documentation Quality
How well you document your work, making it easy for others to understand and use.
  • Your notes on data sources are clear. Your process for pulling a specific report is written down so someone else could follow it. Essentially, if you were off sick, someone could easily pick up where you left off without having to guess. This is super important for an entry-level role.

6Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Learning and Growth

You'll be excited by the sheer volume of new information you're exposed to daily. You'll see every data request as a chance to learn about a new market, competitor, or analytical technique. You'll actively ask for feedback and seek out opportunities to expand your skills, perhaps by asking to shadow a senior analyst on a tricky project.

You might ask your manager, 'Could I spend an hour next week learning how to use the advanced search features in AlphaSense? I think it could help me find better data for X project.'

Contributing to the Big Picture

Even though you're at an entry level, you'll get a kick out of knowing that the data you're pulling is directly feeding into important strategic decisions. You'll feel a sense of purpose knowing your accurate work helps guide the company. You'll probably follow up on how your data was used, keen to see its impact.

After compiling a report on a new market, you'll be keen to hear how the strategy team used that information, perhaps asking, 'Did that data on Market X help with the expansion plan?'

Problem Solving (Small Scale)

You enjoy the puzzle of finding that elusive data point or figuring out why a report isn't running correctly. You're not afraid to troubleshoot a basic script or try different search terms to get the best results. You get satisfaction from making things work smoothly.

When a search query isn't giving relevant results, you'll tinker with the keywords or filters until you find a way to get the information needed, rather than just giving up.

What frustrates people
  • Dealing with messy, inconsistent data from various sources.
  • Getting vague requests for 'some market data' without clear direction.
  • Spending time on a task only for priorities to shift and the work to be put on hold.
  • The sheer volume of information to sift through – it can feel like drinking from a firehose.
  • Knowing the exact data you need is locked behind an expensive paywall you can't access.
What this role does not give you
  • Significant independent strategic decision-making (not yet, anyway).
  • Direct management of people or large projects.
  • A quiet, predictable routine every single day (there will be fire drills).
  • The ability to immediately influence C-suite strategy (you'll be supporting those who do).

7Who you work with

Your work directly supports the Market Intelligence team's ability to provide timely and accurate insights. If you're on top of things, the team can spend more time analysing and less time hunting for data. If you miss a key piece of competitor news, it could mean we're a step behind in the market. Basically, you're helping us avoid nasty surprises and spot opportunities early.

Inside the business
  • Market Intelligence Analysts and Strategists
  • Product Managers (for competitor feature tracking)
  • Sales Operations (for competitor battlecard updates)
  • Marketing Team (for market trend data)
Outside the business
  • Market research vendors (occasionally, under supervision)
  • Industry news sources

8What you need before you start

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

  • A strong academic background in a quantitative field (e.g., Economics, Business, Data Science, Statistics) or equivalent practical experience.
  • Demonstrable experience with data manipulation in Excel (e.g., VLOOKUPs, pivot tables, basic formulas).
  • Some exposure to data visualisation tools (like Tableau or Power BI) or a strong desire to learn.
  • Basic understanding of programming logic, ideally with some experience in Python, even if it's just from university projects or online courses.

9What to practise next

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

Advanced Data Manipulation (Python)

As data sources become more complex and varied, simple Excel won't cut it. You'll need to handle larger datasets, different file formats, and more sophisticated cleaning techniques using code.

Pandas DataFrames · Error Handling · API Integration (Basic)

  • This quarter: Take an online course on advanced Pandas techniques. Focus on real-world data cleaning examples.
  • Next quarter: Identify one manual data collection task you do regularly and try to automate it with a Python script.
  • Month 6: Explore how to use a simple API (e.g., a public weather API) to pull data into Python.

Quick win: Start using Python for *all* your data cleaning, even if it's small CSVs. Force yourself to move away from Excel for these tasks.

10Staying current once you are in

What people here do to keep up
  • Participate in webinars or online courses on market research methodologies and competitive analysis.
  • Read industry publications and stay up-to-date on market trends in our sector.
  • Join relevant professional groups on LinkedIn or attend virtual industry events.
  • Actively seek feedback from senior team members and apply it to improve your work.

11How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

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 starting to handle the repetitive data cleaning tasks that used to consume your mornings.

→
Rising: worth more because of AI

Your ability to discern the most relevant insights from AI-generated data becomes increasingly valuable.

The new skill this role is being asked for: Prompt Engineering & LLM Integration

Competitors are already using tools like ChatGPT and Claude to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't just a 'nice to have' anymore; it's becoming a core productivity skill.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

Your PlanIllustration

Built for Associate Market Intelligence Analyst

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

  1. Analyse the market in which your organisation operatesProQual Awarding Body · covers 2 of 10 standardsLevel 3
  2. Data AnalysisHighfield Qualifications · covers 2 of 10 standardsLevel 3
  3. Collating and analysing statistical insurance dataCity & Guilds Limited · covers 1 of 10 standardsLevel 3
  4. Analyse market research dataCity and Guilds of London Institute · covers 1 of 10 standardsLevel 3
  5. Marketing ResearchAQA Education · covers 1 of 10 standardsLevel 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.

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

Competitors are already using tools like ChatGPT and Claude to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't just a 'nice to have' anymore; it's becoming a core productivity skill.

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

What you’ll use

Skills this role draws on

Technical

  • TAM/SAM/SOM Analysis (Conceptual Understanding)
  • Win/Loss Analysis (Data Collection)
  • Primary Research Design (Support)
  • Competitive Benchmarking (Data Entry & Tracking)

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

    Graduate Analyst Programme

    0-1 year

    Skills to master

    • Data cleaning, basic reporting, understanding business context, foundational market research techniques.

    You're ready to move on when

    • Consistently accurate data outputs.
    • Proactive in asking clarifying questions and seeking learning opportunities.
    • Can independently complete routine data collection tasks.
  2. 2

    Market Research Assistant (from another industry)

    1-2 years

    Skills to master

    • Adapting market research skills to our specific industry, learning our tech stack, understanding our competitive landscape.

    You're ready to move on when

    • Quickly picks up industry-specific terminology and trends.
    • Can translate external research findings into relevant insights for our business.
    • Demonstrates strong organisational skills for managing multiple research projects.
  3. 3

    Data Analyst (from a non-MI function)

    1-2 years

    Skills to master

    • Applying analytical skills to market data, understanding competitive dynamics, developing qualitative research skills.

    You're ready to move on when

    • Strong technical proficiency in data manipulation and visualisation.
    • Shows keen interest in external market factors and competitor behaviour.
    • Asks insightful questions about the 'why' behind market shifts.

12How people get here · where they go next

Came from
Graduate Analyst Programme
0-1 year
You mastered the basics of data cleaning and reporting, setting a solid foundation for your analytical skills.
You are here
Associate Market Intelligence Analyst
Entry Level (0-2 years)
This role is all about getting your hands dirty with market data. You'll be the person digging through reports, tracking competitor moves, and helping the team build a clear picture of what's happening out there. It's a foundational role, meaning you'll learn the ropes from the ground up, working closely with more experienced analysts. Think of it as being the eyes and ears for the strategy team, gathering the raw ingredients for our big decisions.
Goes to
Market Intelligence Analyst
2-3 years
This role involves leading small research projects and developing data insights independently, expanding your strategic impact.

The long view:Your journey starts here, at the heart of our strategic insights. We're excited to see how you'll grow and contribute to our future. This role is a springboard, offering a clear path for development and a chance to truly understand what drives a successful business.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

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 Associate Market Intelligence Analyst is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

13The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

The Navigator
The Navigator
Big-picture guide
Your Navigator helps you see how each piece of data fits into the broader competitive landscape, guiding your strategic thinking.
The Coach
The Coach
Real practice
Your Coach sets up scenarios based on real market shifts, giving you feedback on your analysis and reporting skills.
The Explorer
The Explorer
Safe to try
Your Explorer encourages you to experiment with new AI tools, learning from the missteps and breakthroughs alike.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

14What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Analyse the market in which your organisation operatesLevel 3

Applied to your work in Associate Market Intelligence Analyst

This unit aims to enable learners to analyse customer needs, utilise research tools and techniques to analyse the market, and communicate research findings to inform managerial decisions within their organisation.

The ExplorerLast time, we looked at how you used ChatGPT to summarise an earnings call. How did that go?

YouIt was quicker than doing it manually, but I wasn't sure about some of the details it included.

The ExplorerLet's refine those prompts together, focusing on getting more precise outputs. Try it on your next market report summary.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  6. Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Associate Market Intelligence Analyst

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Data AccuracyThe percentage of market data points you collect or update that are free from errors.If you update 50 competitor pricing points, we'd expect no more than one to be incorrect when cross-referenced with the source.>98% accuracy
  • Timeliness of Ad-Hoc RequestsHow quickly you turn around specific data requests from the team.A senior analyst asks for Q3 earnings call transcripts for three specific competitors on Monday, you'd have them ready by Wednesday morning.95% of requests fulfilled within 48 hours
  • Competitor Profile CoverageEnsuring all assigned Tier 1 competitor profiles are updated with the latest information.You're responsible for keeping 5 competitor profiles current; all 5 should reflect recent product launches, funding rounds, or strategic shifts by the end of each quarter.100% of assigned profiles updated quarterly
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.
The Explorer· your tutor
The ExplorerLast time, we looked at how you used ChatGPT to summarise an earnings call. How did that go?
YouIt was quicker than doing it manually, but I wasn't sure about some of the details it included.
The ExplorerLet's refine those prompts together, focusing on getting more precise outputs. Try it on your next market report summary.

It knows your role, your work, your last session. That's what one-to-one really means. No two people are ever taught the same way.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Associate Market Intelligence Analyst to Market Intelligence Analyst, and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Market Intelligence Analyst→ your design
A year from now

A year from now, you become the go-to person for transforming raw data into actionable insights, trusted by your team for your analytical acumen.

See Your Progress GrowIllustration
Associate Market Intelligence Analyst
  • TAM/SAM/SOM Analysis (Conceptual Understanding)
  • Win/Loss Analysis (Data Collection)
  • Primary Research Design (Support)
  • Competitive Benchmarking (Data Entry & Tracking)
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.

15The 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

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

  1. Market Intelligence Analyst

    2-3 years (from Associate)

    Level 2 (Mid)

    • Designing and building interactive dashboards from scratch (Tableau/Power BI).
    • Developing robust, repeatable data pipelines for scraping and analysis (Python).
    • Leading small primary research projects (Qualtrics/SurveyMonkey) end-to-end.
    • Conducting basic Win/Loss interviews and synthesising findings.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of market intelligence work can be repetitive. Imagine having a smart assistant that handles the grunt work, freeing you up to focus on the interesting bits – the actual insights. Our team is already using AI to make our lives easier, and you'll be joining us on that journey.

At Zavmo, we're not just talking about AI; we're actively using it to boost our productivity. For an Associate Market Intelligence Analyst, this means less time on tedious tasks and more time learning and contributing. You'll be trained on how to use these tools from day one, helping you become a more efficient and impactful analyst, faster.

Earnings Call Autopilot

Use AI to transcribe and summarise competitor earnings calls in real-time. It automatically extracts key themes, management sentiment, and direct quotes relevant to our business, giving you a draft summary within minutes. You'll then verify and refine it, saving you hours of listening and note-taking.

Insight Accelerator

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

Competitor Profile Drafter

Use a generative AI assistant to create a 'Version 0.1' draft of a new competitor profile. Prompt it to scour the web for company history, funding, key products, and executive bios, giving you a structured starting point. You'll then verify and deepen the research, cutting down initial research time significantly.

Executive Summary Shaper

After you've compiled a detailed report, use AI to generate different executive summaries: a one-paragraph version for a quick update, or a three-bullet-point version for Slack. This helps you tailor your core message to different audiences quickly, ensuring your findings get seen and understood.

Common questions

Common questions

How do you become an Associate Market Intelligence Analyst?

Common routes in include Graduate Analyst Programme (0-1 year), Market Research Assistant (from another industry) (1-2 years) and Data Analyst (from a non-MI function) (1-2 years). Times vary with prior experience.

Where can an Associate Market Intelligence Analyst progress to?

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

What level is an Associate Market Intelligence Analyst in the UK?

This role aligns to RQF Level 2 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for an Associate Market Intelligence Analyst?

Increasingly, Prompt Engineering & LLM Integration. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows an Associate Market Intelligence Analyst, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 10 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming an Associate Market Intelligence Analyst: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

16Where to go from here

Other roles at Level 2

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

Other roles in Corporate Strategy

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll gain here – data analysis, strategic thinking, understanding market dynamics, and communicating insights – are highly transferable. You could move into Product Management, Corporate Development, Sales Strategy, or even venture capital. Market intelligence is a fantastic foundation for many different career paths in the tech sector and beyond.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth 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. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. 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.