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

Associate Market Intelligence Analyst

As an Associate Market Intelligence Analyst, you piece together the data puzzle that shapes our strategic vision.

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 or Senior Market Intelligence Analyst
UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Market Analyst · Market Research Assistant · Competitive Intelligence Support · Strategy Analyst (Entry)

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 redundant, but deep down, you know it can't replace your human intuition. The numbers are just numbers until you give them meaning.

1What this role really is

This isn't about calling the big shots yet; it's about getting the groundwork right. You'll be the person digging into the numbers, pulling the specific data points, and making sure the foundations of our market understanding are solid. Think of yourself as a detective, but with spreadsheets instead of a magnifying glass. Your work directly feeds into the bigger picture, helping the team paint a clear view of where our market is heading and who our rivals are.

2A day in the life

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

08:45

You start your day by checking the latest updates on Crayon, ensuring your competitive intelligence platform reflects the most recent industry shifts.

11:00

You dive into Excel, cleaning and formatting raw data from Capital IQ, making sure everything aligns perfectly for the senior analyst's review.

14:30

You connect to a pre-cleaned dataset in Tableau, crafting a simple dashboard that visually captures key market trends for the team meeting.

16:15

You upload a new survey flow in SurveyMonkey, checking for any hiccups before it goes live to gather primary research insights.

3What you'd actually use

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

Microsoft Excel (Power Query, basic formulas)Intermediate

Cleaning raw data, building pivot tables, using VLOOKUPs/XLOOKUPs, and applying basic formulas to summarise data.

SQL (SELECT queries)Intermediate

Writing simple SELECT statements to pull specific data from our Snowflake data warehouse, usually with guidance on table names and filters.

Syndicated Data Platforms (Capital IQ, PitchBook, Factiva)Intermediate

Navigating these platforms to pull company profiles, financials, news articles, and industry reports based on specific search criteria.

Data Visualization & BI (Tableau, Power BI)Basic

Connecting to pre-prepared datasets and building simple, pre-defined charts or adding data to existing dashboards.

Competitive Intelligence Platforms (Crayon, Klue)Basic

Consuming competitive intelligence and contributing by uploading relevant news articles or competitor datasheets as instructed.

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 choice	Coming in	Where you are now	The step above
Data Source Selection	Follow specific instructions from senior analyst; escalate if instructed source is unavailable or problematic.	Choose appropriate data sources for routine tasks based on established guidelines; consult for novel requests.	Select primary and secondary data sources for complex projects; recommend new vendor tools or subscriptions.
Data Cleaning & Transformation	Execute cleaning steps as instructed; escalate any unexpected data anomalies or complex issues.	Independently clean and transform datasets for routine analysis; propose improvements to cleaning processes.	Design and implement data cleaning methodologies for large, complex datasets; define data quality standards.
Report/Dashboard Design	Build charts and dashboards following specific templates or instructions; escalate design questions.	Design and build dashboards for specific business questions; seek feedback from stakeholders.	Architect comprehensive BI solutions and reporting frameworks; influence the adoption of new visualisation tools.
Project Prioritisation	Execute tasks in the order given by your manager; flag if deadlines conflict.	Prioritise your own tasks within a project, escalating if you foresee missing a deadline.	Manage priorities for your workstreams; negotiate deadlines with stakeholders; resolve minor conflicts.

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 Extraction Accuracy

The percentage of data points extracted from various sources that are correct and match the original source.

Target · 99% accuracy

If you pull 100 data points for a competitor's Q3 earnings, only one can be incorrect. We'll check it against the official transcript.

Report Input Timeliness

The percentage of raw data inputs or initial analysis components delivered by agreed-upon deadlines.

Target · 95% on-time delivery

If a senior analyst asks for a competitor's revenue figures by Tuesday, you've got it to them by Tuesday. Missing it means they can't finish their part.

Data Cleaning Efficiency

The time taken to clean and standardise raw data for analysis, measured against established benchmarks for similar tasks.

Target · Within 10% of estimated time

If cleaning a specific dataset usually takes 2 hours, you're aiming to get it done in roughly 2 hours, not 4.

Adherence to Methodologies

Following established processes and templates for data collection, formatting, and basic analysis.

Your work consistently follows the team's guidelines for data sourcing, naming conventions, and report structure. You're not reinventing the wheel on every task, but learning the 'right way' we do things here.

Proactive Learning & Asking Questions

Actively seeking to understand the 'why' behind tasks and asking clarifying questions rather than making assumptions.

You'll ask 'Why are we looking at this specific metric?' or 'What's this data going to be used for?' during task briefings. You're not afraid to say 'I don't know how to do that, can you show me?'

Feedback Incorporation

Effectively taking on board feedback from senior analysts and applying it to subsequent tasks.

If your manager points out a mistake in how you formatted a table, the next table you produce will have that correction applied. You don't make the same basic error twice.

6Would you like it

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

What people enjoy

Learning & Skill Development

You'll get a real kick out of mastering a new Excel function, figuring out a tricky SQL query, or understanding a new market concept. You're always looking for ways to do things better or learn a new trick.

Spending an extra 30 minutes after a task to figure out how a senior analyst built a specific pivot table, even if you weren't asked to.

Contributing to Important Decisions

Even though you're not making the big calls, you'll feel satisfied knowing that the accurate data you pulled is directly feeding into presentations to the CEO or key product decisions. Your work has a tangible impact.

Seeing a chart you helped create appear in a board deck, knowing your numbers are helping shape company direction.

Structured Problem Solving

You enjoy the process of taking a messy problem (like 'find all mentions of X competitor') and systematically breaking it down, gathering the pieces, and presenting a clean, organised answer.

Methodically going through a list of news articles, extracting specific data points, and categorising them according to a predefined framework.

What frustrates people

Sifting through hundreds of pages of market reports to find one specific number.
Dealing with inconsistent data formats from different sources, requiring lots of manual cleaning.
Being asked to re-pull data because the initial request wasn't clear, or the scope changed slightly.
Not always understanding the full context or strategic implication of every data task you're given.

What this role does not give you

High-level strategic decision-making authority.
Direct management of a team or large projects.
Constant external client interaction or presentations.
A role where you define the research questions from scratch.

7Who you work with

Your accurate and timely data collection is the bedrock for all market intelligence reports. Get it right, and the entire Corporate Strategy team can build robust recommendations. Get it wrong, and we're making decisions based on shaky ground, potentially missing opportunities or misjudging threats.

Inside the business

Senior Market Intelligence Analysts
Market Intelligence Managers
Product Managers (for basic data requests)
Sales Operations (for competitor insights)

Outside the business

Syndicated data vendors (e.g., Capital IQ support)
Market research report providers

8What you need before you start

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

A genuine interest in understanding markets, competitors, and strategic business questions.
Proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables are a must).
Basic understanding of SQL for data querying (e.g., SELECT statements).
Strong attention to detail and a methodical approach to tasks.
Ability to clearly communicate findings, even if it's just 'here's the data you asked for'.

9What to practise next

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

Advanced Excel & Data Modelling

You'll move beyond basic formulas to building more complex, dynamic models. This means understanding array formulas, named ranges, and how to structure a spreadsheet so it's robust and easy to update. It's about building models that can stand up to scrutiny.

Array Formulas · Scenario Management · Data Validation Rules · VBA (Basic Automation)

This month: Find some online tutorials for advanced Excel functions like INDEX/MATCH or SUMIFS and try to apply them to your current tasks.
Next quarter: Look for opportunities to build a small, dynamic model where you can change inputs and see outputs update automatically.
Within 6 months: Start exploring basic VBA to automate a repetitive data cleaning or formatting task you do regularly.
Within 12 months: Aim to build one 'self-service' Excel tool for a team member, where they can input data and get a specific output.

Quick win: Ask a senior analyst to show you one 'clever' Excel trick they use regularly. Then try to replicate it and understand how it works.

10Staying current once you are in

What people here do to keep up

Attend webinars or online courses on market research methodologies and competitive intelligence best practices.
Read industry publications and news to stay on top of market trends and competitor moves.
Join relevant professional networking groups (e.g., on LinkedIn) to connect with other market intelligence professionals.
Actively seek feedback from senior team members and identify areas for personal growth and skill development.

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 taking over repetitive data cleaning and initial report drafting, freeing you from the tedium of busywork.

→

Rising: worth more because of AI

Your ability to interpret nuanced data insights and provide context becomes even more valuable in the AI era.

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

Honestly, everyone's using large language models (LLMs) now, and they're only getting better. The folks who know how to ask the right questions (prompt engineering) will be able to get answers and summaries much faster than those who don't. It's about working smarter, not harder.

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

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 Interaction

Honestly, everyone's using large language models (LLMs) now, and they're only getting better. The folks who know how to ask the right questions (prompt engineering) will be able to get answers and summaries much faster than those who don't. It's about working smarter, not harder.

Clear Prompting
Context Windows
Output Validation
Summarisation Techniques

What you’ll use

Skills this role draws on

Technical

Market Sizing & Segmentation (Conceptual)
Competitive Analysis (Foundational)
Data Validation & Quality Checking
Basic Research Methodologies

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
Graduate Scheme / Internship Programme
6-18 months
Skills to master
- Structured problem-solving, corporate communication, foundational data analysis, understanding business context.
You're ready to move on when
- Successfully completed several data-heavy projects during your programme.
- Received positive feedback on your ability to learn quickly and follow instructions.
- Demonstrated a keen interest in the strategic side of the business.
2
Data Entry / Junior Analyst in another department
1-2 years
Skills to master
- Data cleaning, Excel proficiency, attention to detail, basic reporting.
You're ready to move on when
- You've automated some of your previous tasks using Excel or basic scripting.
- You've started asking 'why' the data is collected and what it means for the business.
- You're looking for a role with more analytical depth and strategic context.
3
Self-Taught Data Enthusiast
Variable, depending on commitment
Skills to master
- Excel, SQL, basic data visualisation (e.g., Tableau Public projects), understanding business case studies.
You're ready to move on when
- You have a portfolio of personal projects demonstrating your data analysis skills.
- You've completed online courses or certifications in relevant tools.
- You can articulate how your skills would apply to business problems, even without direct experience.

12How people get here · where they go next

Came from

Graduate Scheme / Internship Programme

6-18 months

You mastered foundational data analysis and developed a keen interest in the strategic side of business.

You are here

Associate Market Intelligence Analyst

Entry Level (0-2 years)

This isn't about calling the big shots yet; it's about getting the groundwork right. You'll be the person digging into the numbers, pulling the specific data points, and making sure the foundations of our market understanding are solid. Think of yourself as a detective, but with spreadsheets instead of a magnifying glass. Your work directly feeds into the bigger picture, helping the team paint a clear view of where our market is heading and who our rivals are.

Goes to

Market Intelligence Analyst (Level 002)

18-36 months

This role involves owning and delivering comprehensive reports, with greater autonomy and strategic input.

The long view:This Associate role is your gateway into the fascinating world of corporate strategy. We're here to help you grow, learn, and eventually, shape the future direction of our business. It won't always be easy, but it will definitely be rewarding if you've got that spark of curiosity and a drive to understand what makes markets tick.

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.

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

Big-picture guide

Your Navigator helps you see how each dataset fits into the broader market strategy, guiding you through the bigger picture.

The Coach

Real practice

Your Coach sets up scenarios where you refine your data analysis skills, offering feedback that sharpens your accuracy and efficiency.

The Explorer

Safe to try

Your Explorer encourages you to experiment with new data visualisation techniques, learning from both successes and missteps.

…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:

Data AnalysisLevel 3

Applied to your work in Associate Market Intelligence Analyst

This unit aims to equip learners with the skills to collate and analyse data from various sources using appropriate techniques. Learners will be able to interpret data analysis results and create structured reports, effectively communicating key insights and recommendations using visual aids.

The NavigatorLast time, we discussed how your data feeds into our quarterly market reports. Let's explore how this impacts our strategic decisions.

YouI’d love to understand more about how my data analysis influences these reports.

The NavigatorGreat! Why not start by identifying one key insight from your last dataset that could influence our next strategic move?

How the thinking builds

Remember
Understand
Apply
Analyse
Evaluate
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.

Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
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.
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.
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.
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 Extraction AccuracyThe percentage of data points extracted from various sources that are correct and match the original source.If you pull 100 data points for a competitor's Q3 earnings, only one can be incorrect. We'll check it against the official transcript.99% accuracy
Report Input TimelinessThe percentage of raw data inputs or initial analysis components delivered by agreed-upon deadlines.If a senior analyst asks for a competitor's revenue figures by Tuesday, you've got it to them by Tuesday. Missing it means they can't finish their part.95% on-time delivery
Data Cleaning EfficiencyThe time taken to clean and standardise raw data for analysis, measured against established benchmarks for similar tasks.If cleaning a specific dataset usually takes 2 hours, you're aiming to get it done in roughly 2 hours, not 4.Within 10% of estimated time

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 Navigator· your tutor

The NavigatorLast time, we discussed how your data feeds into our quarterly market reports. Let's explore how this impacts our strategic decisions.

YouI’d love to understand more about how my data analysis influences these reports.

The NavigatorGreat! Why not start by identifying one key insight from your last dataset that could influence our next strategic move?

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 (Level 002), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Market Intelligence Analyst (Level 002)→ your design

A year from now

A year from now, you confidently bridge the gap between raw data and strategic insights, becoming a trusted advisor in your team.

See Your Progress GrowIllustration

Associate Market Intelligence Analyst

Market Sizing & Segmentation (Conceptual)
Competitive Analysis (Foundational)
Data Validation & Quality Checking
Basic Research Methodologies

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.

Market Intelligence Analyst (Level 002)
18-36 months
From executing specific tasks to owning and reliably delivering a specific report or analysis end-to-end.
- Advanced SQL: Writing more complex queries with joins and subqueries.
- Dashboard Development: Designing and building interactive dashboards from scratch.
- Basic Primary Research: Running small-scale surveys or conducting initial interviews.
- TAM/SAM/SOM Modelling: Contributing to and understanding the components of market sizing models.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of the initial legwork in market intelligence can be a bit repetitive. Imagine cutting down on the tedious parts so you can spend more time actually learning and understanding the 'so what' behind the data. That's where AI comes in.

We're not talking about robots taking over your job. We're talking about smart tools that help you get through the boring bits faster. For an Associate, this means less time sifting through documents and more time getting to grips with what really matters. You'll be using AI to speed up data gathering, summarise long reports, and even help you draft initial analyses. This isn't just about efficiency; it's about making your job more interesting and impactful from day one.

Automated Earnings Call Summaries

Imagine feeding a competitor's earnings call transcript into an AI and getting a concise summary of key strategic points, product mentions, and financial shifts in minutes. You'll then verify and refine, saving you hours of listening and note-taking.

Initial Thematic Analysis

Got hundreds of customer reviews or competitor news articles? An LLM can quickly scan these and pull out the top 3-5 recurring themes or competitive threats. You'll use this as a starting point, then dive deeper into the most relevant areas.

Pre-Meeting Briefing Assistant

Before you meet with a senior analyst, an AI tool can scan recent internal reports and external news to give you a quick one-page brief on their current priorities or any relevant market updates. You'll come prepared and look sharp.

First Draft Narrative Generator

Once you've got your clean data and charts, you can give an AI model a prompt and some numbers. It'll generate a first draft of the narrative for a report. You'll then take that, add your own insights, and make it sound like you wrote it from scratch. It's a huge head start.

Common questions

How do you become an Associate Market Intelligence Analyst?

Common routes in include Graduate Scheme / Internship Programme (6-18 months), Data Entry / Junior Analyst in another department (1-2 years) and Self-Taught Data Enthusiast (Variable, depending on commitment). Times vary with prior experience.

Where can an Associate Market Intelligence Analyst progress to?

This role can lead on to Market Intelligence Analyst (Level 002) (18-36 months), 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 Interaction. 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 Zavmo curriculum screen: a three-month plan built for a customer support lead, five Ofqual-regulated units and a hundred and ninety-six credits. — 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 analytical and strategic thinking skills you'll pick up here are highly transferable. You could move into roles in Product Management, Corporate Development (M&A), Management Consulting, or even Investment Banking, as they all value strong market understanding and data analysis.

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.

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.

Associate Market Intelligence Analyst

What's rising in its place

Prompt Engineering & LLM Interaction

Skills this role draws on

Technical

How you actually get there, here

Graduate Scheme / Internship Programme

Data Entry / Junior Analyst in another department

Self-Taught Data Enthusiast

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

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

A conversation, not a course

No two people run this the same way

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

A year from now, you confidently bridge the gap between raw data and strategic insights, becoming a trusted advisor in your team.

Everything else the record holds

The career path, and where it branches

Market Intelligence Analyst (Level 002)

Where AI is starting to help

Automated Earnings Call Summaries

Initial Thematic Analysis

Pre-Meeting Briefing Assistant

First Draft Narrative Generator

Common questions

You’ve started things before

Less than one coaching session. Every month.

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