United Kingdom · Marketing · Senior (5-8 years)

Senior Market Research and Insights Analyst

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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Experience bandSenior (5-8 years)
Direct reportsNo direct reports
Reports toInsights Manager
UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Senior Insights Specialist · Market Intelligence Lead · Research Consultant (Marketing) · Senior Consumer Insights Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 2 of 10 standards

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 1 of 10 standards

Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 10 standards

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 2 of 10 standards

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 2 of 10 standards

Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 2 of 10 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

Practical Data Science NOCN Level 4 certificate for Data Analysts

Data Science Foundations OTHM Level 7 Diploma in 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

AI Governance Fluency using AI responsibly

Systems Fluency seeing the whole picture

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Your Plan Illustration

Built for Senior Market Research and Insights Analyst

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

Data Analytics Pearson Education Ltd · covers 2 of 10 standards Level 5
Introduction to Data Science and Big Data NCC Education Limited · covers 1 of 10 standards Level 5
Practical Data Science NOCN · covers 2 of 10 standards Level 4
Data Science Foundations OTHM Qualifications · covers 2 of 10 standards Level 7

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 Research and Insights Analyst?

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

The new skills this role is being asked for

Prompt Engineering & LLM Integration for Research
Behavioural Economics Application in Research

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Systems Fluencyseeing the whole picture

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 Research and Insights Analyst 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 research and insights analyst designs studies and digs into the reasons behind consumer behaviour. The work involves turning findings into a story that makes sense to campaign managers and directors alike. It mixes careful investigation, scientific method and clear storytelling, all aimed at making marketing decisions better informed.

4What you'd actually use

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

Qualtrics / SurveyMonkey Advanced

Designing and programming complex surveys with intricate branching logic, conjoint analysis, and MaxDiff questions. Managing panel integrations and ensuring robust data quality protocols. You'll also be training junior team members on best practices.

SPSS / R Advanced

Conducting advanced statistical analyses (e.g., regression, factor analysis, cluster analysis) on large datasets. Writing original syntax or scripts for repeatable analyses and developing custom visualisations. You'll be moving beyond basic point-and-click.

Tableau / Power BI Advanced

Creating complex, interactive dashboards from multiple data sources, using calculated fields and parameters to enable self-service for stakeholders. You'll be designing these from scratch and ensuring they tell a clear story.

Brandwatch / Sprinklr Advanced

Building complex queries to track specific campaigns, competitive activity, or emerging trends in social media. Conducting root-cause analysis on sentiment shifts and integrating social data into broader research projects.

SQL Intermediate

Writing multi-table `JOIN`s, using aggregate functions, and common table expressions (CTEs) to extract and structure complex datasets from our data warehouse (e.g., Snowflake, BigQuery). You'll need to get the data you need, independently.

PowerPoint / Google Slides Expert

Crafting compelling narratives from scratch, translating complex findings into clear, executive-ready visuals and 'so what' summaries. You'll be presenting high-stakes findings, so your deck needs to be impeccable and persuasive.

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 choice	Coming in	Where you are now	The step above
Research Methodology Selection	Follows manager's prescribed methodology or uses existing templates.	Proposes appropriate methodologies for routine projects; seeks manager's approval for novel approaches.	Designs and justifies complex, bespoke methodologies for strategic questions; consults manager on highly experimental approaches or significant budget implications.
Project Timeline & Resource Allocation	Adheres to given timelines; escalates any potential delays immediately.	Manages own project timelines for standard projects; proposes adjustments with manager's input.	Develops comprehensive project plans and timelines for complex studies; independently adjusts resources within project scope; consults manager on major delays or resource needs beyond team capacity.
Vendor Selection & Management (Project-Specific)	Works with pre-selected vendors; follows established processes for data collection.	Evaluates and recommends vendors for routine projects based on predefined criteria; manager approves final selection.	Independently selects and manages vendors for complex research projects (within approved budget); negotiates terms for specific project needs; informs manager of selections and performance.
Interpretation of Findings & Recommendations	Presents findings as instructed; manager formulates recommendations.	Formulates initial recommendations for routine projects; manager reviews and refines.	Develops and defends actionable recommendations for all projects, including strategic initiatives; manager provides feedback on strategic alignment and broader 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 On-Time Delivery for Complex Studies

The percentage of multi-phase or bespoke research projects delivered by the agreed-upon deadline, including all stages from brief to final debrief.

Target · 90% of projects delivered on time.

You committed to delivering the Q2 brand perception study by 15 June. If it's delivered by 15 June with all components, that's a hit. If it slips to 17 June due to unforeseen issues, we'll review why, but the goal is to consistently meet commitments.

Insight-Driven Marketing Campaign Uplift

The measurable improvement in key marketing metrics (e.g., click-through rate, conversion rate, customer acquisition cost) directly attributable to insights from your research.

Target · Contribute to a 10-15% improvement in at least two major marketing campaign metrics per quarter.

Your customer segmentation study identified a key messaging gap. A campaign using your recommended messaging saw a 12% higher conversion rate than the control group, directly leading to an estimated £50K in incremental revenue.

Methodology Rigour & Data Quality

The accuracy and robustness of your research designs, including survey programming, sampling, and statistical analysis, leading to reliable and defensible findings.

Target · Fewer than 1 critical error (e.g., significant bias, statistical misinterpretation) per 5 major research projects.

You designed a conjoint analysis for a new product feature. The model's predictive power was high, and the results held up under scrutiny from the Product team, with no issues found in the survey logic or data cleaning.

Mentee Development & Support

The growth and increased capability of junior analysts you informally mentor, measured by their ability to take on more complex tasks and improve their analytical skills.

Target · At least one mentee demonstrates significant improvement in a core skill (e.g., advanced Excel, basic R scripting) and takes on a new, more challenging project within 12 months.

You spent time coaching a junior analyst on how to properly structure SQL queries for a multi-table join. They then successfully extracted a complex dataset independently for a critical project, which they couldn't have done before your guidance.

Stakeholder Trust and Influence

Your ability to build credibility with internal teams, leading them to proactively seek your input on strategic decisions and trust your recommendations, even when they're challenging.

You're regularly invited to early-stage planning meetings for new initiatives. Your opinions are sought on critical strategic questions. Stakeholders openly discuss challenges with you, rather than just presenting a problem. You're seen as a trusted advisor, not just a data provider.

Clarity and Impact of Insights Storytelling

The effectiveness of your presentations and reports in translating complex research findings into clear, compelling narratives that prompt action.

Your presentations are consistently praised for their clarity and conciseness. Leadership references your insights in their own strategic communications. Teams actively change their plans based on your recommendations. You get feedback like 'that was the clearest explanation I've heard all year.'

Proactive Problem Identification

Your initiative in identifying potential market shifts, customer pain points, or competitive threats through your research, even before a formal request is made.

You present unsolicited insights to your manager or relevant stakeholders that lead to new projects or adjustments in strategy. You spot trends in the data that others miss and bring them to attention. You're always thinking about the 'next question' beyond the immediate brief.

7Would you like it

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

What people enjoy

Solving Complex Puzzles

You love diving into a messy dataset or a tricky business question and systematically breaking it down. The feeling of uncovering a hidden pattern or a root cause is genuinely satisfying to you.

A flat-lining conversion rate isn't just a number; it's a challenge. You'll be the one building the research plan to figure out *why* it's happening, combining survey data with website analytics to piece together the full picture.

Driving Tangible Business Impact

You're not content with just delivering a report; you want to see your insights put into action. Knowing that your work directly led to a successful campaign or a better product is what gets you up in the morning.

After weeks of research, you present findings that clearly show a new feature is needed. Seeing that feature launched and embraced by customers, knowing your research was the catalyst, is your ultimate reward.

Continuous Learning & Skill Mastery

You're always looking for new methodologies, better tools, or different ways to approach a problem. You enjoy refining your craft, whether it's mastering a new statistical technique or improving your storytelling.

You've just finished a project using MaxDiff for feature prioritisation, and now you're already researching how conjoint analysis could give even richer insights for the next product launch. You're always pushing yourself to learn more.

What frustrates people

The 'Hypothesis in the Brief': Stakeholders who come to you not with a business question, but with a request to 'run a survey to prove my idea is right.' Your job is to find the truth, not validate someone's gut feeling.
Weaponised Data: You'll present neutral, objective findings, only to see different stakeholders cherry-pick stats to support their pre-existing political agendas. It can feel like your hard work is being twisted.
The 'Quick Pull': That 4:45 PM Friday email from a VP with 'a super quick question' that requires hours of data extraction and analysis for a Monday morning meeting. It happens, and it's rarely quick.
Ignoring the Uncomfortable Truth: You'll spend weeks on a rigorous study that proves a beloved feature is disliked by customers, only to have the findings dismissed because 'that's not what I believe.'
The Budget Squeeze: Fighting for budget for a robust study with a quality panel provider, only to be told to 'just use SurveyMonkey and email our customer list' for a critical strategic decision. Quality costs, and sometimes that's a battle.
The Storyteller's Burden: Knowing you have a game-changing insight but struggling to get non-analytical stakeholders to grasp the 'so what' and actually act on it. It's like speaking a different language sometimes.

What this role does not give you

A purely academic environment where theoretical perfection trumps practical application. We need actionable insights, not just interesting data.
A static, predictable workflow. Priorities shift, new questions emerge, and you'll often need to pivot quickly.
A role where you're just executing someone else's plan without critical input. We expect you to challenge, design, and lead.

8Who you work with

This role directly shapes our understanding of the market and our customers. Your insights will inform significant marketing budget allocation, influence product development cycles, and ultimately drive our competitive advantage. Get it right, and we're ahead of the curve; get it wrong, and we're playing catch-up.

Inside the business

Marketing Leadership (CMO, Head of Marketing)
Product Managers and Product Marketing
Campaign Managers and Brand Teams
Sales Teams (for market understanding)
Data Analytics Team (for data infrastructure)

Outside the business

External Research Agencies and Panel Providers
Industry Analysts and Consultants
Key Customers (for qualitative research)

9What you need before you start

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

Proven ability to independently manage market research projects from beginning to end, including questionnaire design, data collection oversight, analysis, and reporting (equivalent to our L2 Insights Analyst role).
Demonstrated experience with advanced statistical analysis techniques (e.g., regression, factor analysis) using tools like SPSS or R.
Strong track record of translating complex data into clear, actionable business recommendations for marketing or product teams.
Experience in both quantitative (survey-based) and qualitative (interviews, focus groups) research methodologies.
A solid understanding of sampling principles and how to mitigate bias in research.

10What to practise next

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

Advanced Predictive Modelling for Marketing

Moving beyond descriptive 'what happened' to 'what will happen' and 'what should we do'. This means building models that can forecast market response, predict customer churn, or identify high-potential segments before they're obvious. This will drive truly proactive marketing.

Regression techniques (e.g., logistic, multivariate) · Classification algorithms (e.g., decision trees, SVMs) · Time Series Analysis (e.g., ARIMA, Prophet) · Causal Inference · Model Validation & Interpretation

This week: Identify a business problem that could benefit from predictive analytics (e.g., predicting campaign success).
This month: Take an online course on predictive modelling in R or Python (e.g., DataCamp, Coursera).
Month 2: Build a small-scale predictive model using existing internal data (e.g., customer churn prediction) and present the findings.
Month 3: Work with the Data Science team to understand how their predictive models are built and how market research inputs can enhance them.

Quick win: Start incorporating basic regression analysis into your existing survey data analysis to identify key drivers of satisfaction or purchase intent, even if it's just a simple linear model.

Data Integration & ETL for Insights

Market insights are no longer just from surveys. They come from CRM, website analytics, social media, sales data, and more. The ability to pull, clean, and combine these disparate data sources will be crucial for holistic understanding and advanced analytics.

Data Warehousing concepts (e.g., Snowflake, BigQuery) · ETL (Extract, Transform, Load) processes · API Integration basics · Data Governance & Quality · Schema Design principles

This week: Deepen your SQL skills, focusing on complex joins and subqueries across multiple tables in our data warehouse.
This month: Work with the Data Engineering team to understand our core data pipelines and source systems.
Month 2: Build a small script (e.g., Python) to pull data from a marketing API (e.g., Facebook Ads, Google Analytics) and combine it with survey data.
Month 3: Propose a new integrated dashboard that combines data from at least three different sources to answer a key business question.

Quick win: Start by regularly querying our data warehouse directly for your projects, rather than relying on pre-built reports. This will force you to understand the underlying data structures.

11Staying current once you are in

What people here do to keep up

Regularly attend industry conferences (e.g., MRS Annual Conference, ESOMAR) to stay abreast of new trends and network with peers.
Participate in online courses or workshops on advanced statistical modelling, data visualisation, or emerging AI tools for research.
Read leading market research publications and journals to keep your knowledge current and inspire new approaches.
Seek out opportunities to present your research internally and externally, honing your storytelling and presentation skills.
Actively mentor junior colleagues; teaching is one of the best ways to solidify your own understanding and develop leadership 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 for Research

Competitors are already using Large Language Models (LLMs) to draft reports in 10 minutes that used to take 2 hours, or to rapidly synthesise secondary research. Analysts who figure this out will outproduce peers 3:1. This isn't future tech; it's happening now.

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

Behavioural Economics Application in Research

Understanding how and why people make decisions, rather than just what they say, is becoming crucial. Traditional research often misses the subconscious biases that drive behaviour. Applying behavioural economics principles will give us a deeper, more predictive understanding of our customers.

Cognitive Biases (e.g., anchoring, confirmation bias)
Nudge Theory
System 1 & System 2 Thinking
Choice Architecture
Loss Aversion & Framing Effects

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Quantitative Methodologies
Qualitative Methodologies
Survey Design & Sampling
Market Sizing & Forecasting (TAM/SAM/SOM)
Customer Segmentation
Competitive Intelligence

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
Insights Analyst (Internal Promotion)
2-3 years as an Insights Analyst
Skills to master
- Mastering independent project management, advanced analytical techniques (e.g., regression), and initial exposure to qualitative research. Building strong internal stakeholder relationships.
You're ready to move on when
- Consistently delivering high-quality, actionable insights on routine projects without significant oversight.
- Proactively identifying opportunities for deeper analysis or new research.
- Demonstrating strong communication skills, particularly in presenting findings clearly.
- Taking initiative to help and guide newer team members.
2
Market Research Agency Specialist
4-6 years at a market research agency
Skills to master
- Broad exposure to various research methodologies, client management, project execution under tight deadlines, and potentially specialisation in a particular industry or technique.
You're ready to move on when
- Experience managing multiple client projects simultaneously, from proposal to final report.
- Comfortable with end-to-end research design and execution.
- Strong analytical and reporting skills, often across different sectors.
- Ability to adapt quickly to new business problems and industries.
3
Data Analyst (with Marketing Focus)
3-5 years as a Data Analyst (with a focus on consumer or marketing data)
Skills to master
- Advanced SQL, Python/R for data manipulation and statistical modelling, dashboarding (Tableau/Power BI), and a keen interest in understanding the 'why' behind the numbers, not just the 'what'.
You're ready to move on when
- Demonstrated ability to extract, clean, and analyse complex datasets from various sources.
- Strong statistical foundation and experience building predictive models.
- A clear passion for consumer behaviour and market dynamics, evidenced by side projects or previous roles.
- Good communication skills, translating technical findings into business language.

15Where this role leads

The long view: This work can lead to managing a research team as an insights manager, or shaping strategy at a higher level as a director of market insights.

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 Research and Insights Analyst is actually changing.

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 Research and Insights Analyst.

Data Analytics Level 5

Applied to your work in Senior Market Research and Insights Analyst

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 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.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

Start my plan, free

See Your Progress Grow Illustration

Senior Market Research and Insights Analyst

Quantitative Methodologies
Qualitative Methodologies
Survey Design & Sampling
Market Sizing & Forecasting (TAM/SAM/SOM)
Customer Segmentation
Competitive Intelligence

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

Lead Insights Strategist (L4)
3-5 years in the Senior Analyst role

You'd move from leading complex projects to managing entire research programmes and becoming the go-to expert for a specific business unit. This means a broader scope and more strategic influence.
- Research Roadmap Development Defining the long-term research strategy for a specific domain or business unit.
- Advanced Vendor Management Strategic selection and negotiation with key research partners.
- Team Leadership (informal/formal) Leading small project teams or potentially managing 1-2 direct reports.
- Cross-Functional Strategy Integration Ensuring insights from various sources (market, UX, data science) are cohesively applied.
Principal Insights Methodologist (IC Path)
3-5 years in the Senior Analyst role

This is a specialist Individual Contributor (IC) path. You'd become the ultimate expert in research methodology, designing cutting-edge approaches and solving the toughest analytical challenges, without necessarily managing people.
- Advanced Statistical Modelling (e.g., Bayesian methods, structural equation modelling).
- Experimental Design & Causal Inference Designing rigorous experiments to prove cause-and-effect.
- Data Science for Research Applying machine learning techniques to market research data.
- Research Tool Architecture Evaluating and recommending enterprise-level research platforms.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, market research can be incredibly time-consuming. From sifting through thousands of verbatim comments to drafting executive summaries, there's a lot of grunt work. But what if you could cut down on that significantly? We're embracing AI not to replace your brilliant mind, but to free it up for the truly strategic, creative thinking that only humans can do.

As a Senior Market Research and Insights Analyst, you're already juggling complex projects. Imagine having a smart assistant that handles the tedious, repetitive parts, allowing you to focus on designing innovative methodologies, digging deeper into the 'why', and crafting even more compelling stories. Our AI Productivity Hub is packed with tools and guides specifically for you, helping you work smarter, not just harder.

Automated Thematic Analysis of Verbatims

Stop manually coding thousands of open-ended survey responses or online reviews. Use AI to automatically ingest, categorise, and quantify themes, giving you a high-level view in minutes instead of days. You'll then refine and interpret, not just sort.

First-Draft Executive Summaries

Feed your quantitative data tables and key charts into an LLM with a prompt like, 'You are a market research director. Write a 3-paragraph executive summary for the CMO based on this data, identifying the top 3 findings and one key recommendation.' Get a solid first draft in minutes, then apply your human nuance.

AI-Powered Secondary Research Synthesis

Need to understand a new market fast? Use AI tools to rapidly scan, summarise, and extract key insights from dozens of industry reports, competitor press releases, and academic papers. Build a comprehensive market landscape overview in a fraction of the time it used to take.

AI-Assisted Questionnaire Design

Use an LLM as a brainstorming partner to generate question variations, check for leading or biased language, and suggest alternative scales or question formats. This helps you refine your survey instruments faster and improve overall data quality, leaving you to focus on the strategic flow.

Common questions

How do you become a Senior Market Research and Insights Analyst?

Common routes in include Insights Analyst (Internal Promotion) (2-3 years as an Insights Analyst), Market Research Agency Specialist (4-6 years at a market research agency) and Data Analyst (with Marketing Focus) (3-5 years as a Data Analyst (with a focus on consumer or marketing data)). Times vary with prior experience.

Where can a Senior Market Research and Insights Analyst progress to?

This role can lead on to Lead Insights Strategist (3-5 years in the Senior Analyst role) and Principal Insights Methodologist (IC Path) (3-5 years in the Senior Analyst role), depending on the skills you build.

What new skills matter most for a Senior Market Research and Insights Analyst?

Increasingly, Prompt Engineering & LLM Integration for Research and Behavioural Economics Application in Research. These are the skills our record of this role lists as growing.

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 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.

Senior Market Research and Insights Analyst

Where should we send it?

Two short quizzes about you

Will AI change your work as a Senior Market Research and Insights Analyst?

What's rising in its place

Prompt Engineering & LLM Integration for Research

Behavioural Economics Application in Research

Skills this role draws on

Technical

How you actually get there, here

Insights Analyst (Internal Promotion)

Market Research Agency Specialist

Data Analyst (with Marketing Focus)

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

Lead Insights Strategist (L4)

Principal Insights Methodologist (IC Path)

Where AI is starting to help

Automated Thematic Analysis of Verbatims

First-Draft Executive Summaries

AI-Powered Secondary Research Synthesis

AI-Assisted Questionnaire Design

Common questions

Want a read on where you stand?