UK

United Kingdom · Marketing · 12-16 years

VP of Insights & Analytics

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 band12-16 years
  • Reports toChief Executive Officer (CEO)
  • UK framework levelUsually someone running a function, or a director

Also advertised as Chief Insights Officer · Global Head of Customer Insights · Chief Marketing Intelligence Officer

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

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 3 of 6 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 6 standards
Level 6 Certificate in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 6 standards
Level 6 Diploma in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 6 standards
TQUK Level 6 Diploma in Digital Leadership (RQF) Training Qualifications UK Ltd · Level 6 · covers 1 of 6 standards
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 4 of 6 standards

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

The units you would start with

Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Data-led Decision Making Level 6 Award in Data-led Decision Making
Data science TQUK Level 6 Diploma in Digital Leadership (RQF)
Data Analytics Primer NOCN Level 4 certificate for Data Analysts

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
Sustainability Fluency building care for people and planet into the work
Foresight Fluency seeing round the corner
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Your Plan Illustration

Built for VP of Insights & Analytics

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 3 of 6 standards Level 7
  2. Data-led Decision Making Institute of Sales Professionals · covers 1 of 6 standards Level 6
  3. Data science Training Qualifications UK Ltd · covers 1 of 6 standards Level 6
  4. Data Analytics Primer NOCN · covers 4 of 6 standards Level 4
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a VP of Insights & Analytics?

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

  • AI-Driven Market Prediction & Foresight
  • Behavioural Economics for Market Shaping
Why each one is rising

The future skills this job leans on

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

What happens when you start

Next, a free account. We build your VP of Insights & Analytics plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

This is a senior leadership role covering insights and analytics, making sure customer understanding shapes company decisions.

4What you'd actually use

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

Qualtrics (Enterprise Governance & Strategy) Strategic

Overseeing enterprise license management, governing platform usage, evaluating ROI against alternative XM platforms (e.g., Medallia, Forsta), and ensuring the platform supports global research needs and data security.

R / Python (Analytical Standards) Architect

Dictating the analytical standards, methodologies, and toolsets for the entire insights organisation. Understanding the limitations and appropriate application of different statistical approaches for complex business problems, rather than hands-on coding.

Tableau / Power BI (Executive Dashboards) Strategic

Overseeing the development and strategic use of executive-level insights dashboards that integrate survey data with business KPIs from enterprise data warehouses (e.g., Snowflake, BigQuery), ensuring they tell a clear, actionable story for senior leadership.

NVivo (Qualitative Strategy & Investment) Strategic

Championing the value of deep qualitative data, securing budget and resources for extensive qualitative exploration, and ensuring the insights team uses the right tools to uncover the 'why' behind complex consumer behaviours.

Brandwatch / Sprinklr (Social Intelligence Strategy) Strategic

Selecting and managing the enterprise social intelligence platform, connecting its insights to overarching brand strategy, competitive intelligence, and crisis management, ensuring comprehensive market listening.

Miro (Executive Workshop Facilitation) Strategic

Integrating collaborative tools into the department's end-to-end insights generation process and facilitating high-level virtual workshops with executive peers for strategic alignment and problem-solving.

SQL (via BigQuery/Snowflake) (Data Architecture Partnership) Architect

Partnering with data engineering and IT leadership to define enterprise-level data requirements, schemas, and governance for the marketing data mart and broader customer data platform, ensuring data quality and accessibility for insights generation.

5What you get to decide, and how that grows

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

The choiceComing in Where you are nowThe step above
Enterprise Insights Strategy N/A (Executes pre-defined tasks) N/A (Manages specific projects) N/A (Leads workstreams, recommends strategy)
Budget Allocation (Insights Function) N/A (No budget authority) N/A (No direct budget authority) N/A (Recommends spend up to £5K)
Organisational Design & Talent N/A (No authority) N/A (No authority) N/A (Mentors junior staff)
Data Governance & Ethics N/A (Follows policies) N/A (Follows policies) N/A (Applies policies)

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.

ROI of Insights-Driven Initiatives
The measurable financial return (revenue lift, cost savings) directly attributable to strategic decisions informed by your team's insights.
Target · Demonstrable link to >£10M in annual revenue lift or cost savings across the enterprise.

Your insights lead to a product repositioning that increases market share by 2% and generates an additional £15M in revenue within 12 months.

Brand Equity & Customer Satisfaction (CSAT) Improvement
The positive shift in key brand health metrics and overall customer satisfaction scores, reflecting a deeper understanding and responsiveness to customer needs.
Target · Increase Brand Equity scores by 5 points and CSAT by 10 points year-on-year.

Through targeted messaging and product enhancements informed by insights, our Net Promoter Score (NPS) rises from +30 to +45, and brand recall improves by 7%.

Customer Lifetime Value (CLTV) Growth
The increase in the predicted total revenue a customer will generate over their relationship with the company, driven by insights that improve retention and upsell.
Target · Achieve a 10% year-on-year increase in average CLTV across key customer segments.

Insights into customer churn drivers enable the marketing team to implement a retention programme that reduces churn by 15%, directly impacting CLTV.

Insights Function Budget Adherence & Efficiency
Managing the multi-million pound budget for the entire Insights & Analytics function effectively, ensuring optimal allocation of resources and demonstrating efficiency gains.
Target · Manage the annual budget within +/- 3% variance, while demonstrating a 5% year-on-year improvement in insights delivery efficiency (e.g., time-to-insight for strategic projects).

Successfully negotiate new vendor contracts, saving £500K annually, and implement new AI tools that reduce time-to-deliver strategic reports by 20%.

Board & C-Suite Confidence in Insights
The degree to which the Board and Executive Leadership Team rely on and trust the insights provided for critical strategic decisions, seeing you as an indispensable advisor.
  • Regular invitations to Board meetings to present insights, direct consultation by the CEO on major strategic shifts, proactive requests for insights before key decisions are made, positive feedback in 360-degree reviews from executive peers.
Market Leadership & Innovation through Insights
Our ability to anticipate market shifts, identify new opportunities, and drive innovation that sets us apart from competitors, directly stemming from your team's foresight.
  • Successful launch of new products/services based on insights (e.g., first-mover advantage), industry recognition for customer-centric innovation, positive analyst reports highlighting our understanding of the market, our insights being cited in thought leadership pieces.
Organisational Culture of Customer-Centricity
The extent to which customer understanding is woven into the fabric of the company, influencing decision-making at all levels, not just within Marketing.
  • Customer insights being a standing agenda item in executive meetings, company-wide adoption of customer personas and journey maps, examples of teams outside Marketing proactively using insights in their daily work, employee surveys showing high awareness and value placed on customer understanding.
Strategic Partnership & Influence
Your ability to build strong, influential relationships with key internal and external stakeholders, ensuring insights are not just produced but acted upon.
  • Successful cross-functional initiatives where insights played a pivotal role, strong relationships with key external partners (e.g., agencies, data providers), being sought out by investors for market perspective, successful negotiation of complex data-sharing agreements.

7Would you like it

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

What people enjoy
Shaping Enterprise Strategy

You'll spend your days in strategic planning meetings, advising the CEO on market entry strategies, presenting to the Board on consumer trends, and working with product leadership to define multi-year roadmaps. Your insights will be the foundation for where the company goes next.

Leading the strategic review that identifies a new, untapped market segment, resulting in a multi-million pound investment and a new product line.

Driving Market Transformation

You'll be at the forefront of identifying and responding to major market shifts, technological advancements, and evolving consumer expectations. Your work will directly lead to us innovating faster, adapting better, and potentially even shaping the market itself.

Anticipating a major shift in consumer privacy concerns and proactively guiding the company to adopt new data practices, turning a potential threat into a competitive advantage.

Building a Customer-Centric Culture

You'll be responsible for instilling a deep understanding and appreciation for the customer across the entire organisation. This means championing training programmes, establishing new metrics, and ensuring every department truly puts the customer first.

Implementing a company-wide 'Voice of the Customer' programme that results in measurable improvements in cross-functional collaboration and customer-focused product development.

What frustrates people
  • Dealing with executive-level 'gut feelings' that contradict robust data, and having to delicately navigate those conversations.
  • The slow pace of change within a large organisation, even with compelling insights.
  • Budget constraints that limit the scope of truly innovative or foundational research.
  • Recruiting and retaining top-tier insights talent in a competitive market.
  • The constant pressure to demonstrate quantifiable ROI for every insights initiative at an enterprise scale.
What this role does not give you
  • Daily hands-on data analysis or survey programming.
  • A quiet, predictable work environment free from political complexities.
  • The ability to make unilateral decisions without extensive consultation and buy-in.
  • Immediate gratification from seeing every single insight directly translated into action.

8Who you work with

This role directly drives enterprise strategy by embedding customer insights into every major business decision. You'll be accountable for ensuring our products, services, and marketing efforts truly resonate with our target audiences, ultimately shaping our market position, brand equity, and long-term profitability. Your influence will extend across product development, marketing campaigns, sales strategies, and even M&A activities, making sure customer understanding is a competitive advantage.

Inside the business
  • CEO and Executive Leadership Team
  • Board of Directors
  • Chief Product Officer
  • Chief Commercial Officer
  • Chief Financial Officer
  • General Counsel (for data privacy and ethics)
Outside the business
  • Investors and Analysts
  • Industry Regulators
  • Key Strategic Partners
  • Market Research Agencies and Vendors
  • Media and Public Relations

9What you need before you start

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

  • 20+ years of progressive experience in consumer insights, market research, or advanced analytics, with at least 10 years in senior leadership roles (Director/VP level) managing large, multi-functional teams.
  • Demonstrable track record of driving significant business impact (e.g., multi-million pound revenue growth, market share gains) through insights at an enterprise level.
  • Extensive experience presenting to and influencing C-suite executives and Boards of Directors.
  • Proven ability to build, scale, and lead a global insights organisation, including budget management (P&L responsibility >£10M) and talent development.
  • Deep expertise in both quantitative and qualitative research methodologies, advanced analytics, and data science, with a strategic understanding of their application to complex business problems.
  • Strong understanding of data governance, privacy regulations (e.g., GDPR), and ethical AI principles.

10What to practise next

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

Data Mesh & Federated Data Governance

As organisations grow, centralised data teams become bottlenecks. A data mesh approach, where data ownership is distributed to domain teams, is emerging as a way to scale data access and insights generation. You'll need to understand how to govern this decentralised model.

Data as a Product · Domain-Oriented Data Ownership · Self-Serve Data Infrastructure · Federated Governance

  • This quarter: Read up on data mesh architecture and its implications for insights teams.
  • Next 6 months: Partner with the Chief Data Officer and IT leadership to understand our current data architecture and future roadmap.
  • Next 12 months: Champion a pilot data mesh initiative within a specific marketing domain to demonstrate its benefits for insights agility.
  • Ongoing: Advocate for the necessary infrastructure and cultural shifts to support a more distributed, insights-driven data ecosystem.

Quick win: Identify a key data bottleneck for your insights team and propose how a 'data as a product' mindset could alleviate it. Start a conversation with IT.

Ethical AI & Explainable AI (XAI) for Insights

The increasing use of AI in insights generation brings critical ethical considerations, especially regarding bias, fairness, and transparency. As a C-suite leader, you'll be accountable for ensuring our AI practices are ethical and that our models can be understood and trusted by the Board, regulators, and consumers.

AI Bias Detection & Mitigation · Model Interpretability & Explainability · Data Privacy in AI · AI Governance Frameworks

  • This quarter: Attend an executive workshop on AI ethics and governance.
  • Next 6 months: Establish an internal working group (with Legal and Data Science) to develop our company's AI ethics principles for insights.
  • Next 12 months: Implement a mandatory training programme for all insights professionals on ethical AI practices and XAI techniques.
  • Ongoing: Regularly review and audit AI models used in insights for bias and interpretability, reporting key findings to the Board.

Quick win: Review one key AI model currently used by your team. Can your team clearly explain how it works and why it makes certain predictions? If not, start the conversation about XAI.

11Staying current once you are in

What people here do to keep up
  • Regularly engage with leading industry associations (e.g., MRS, ESOMAR, IAPP) at an executive level, participating in thought leadership and policy discussions.
  • Maintain a strong network within the C-suite and investor community, staying abreast of market sentiment and strategic priorities.
  • Actively mentor emerging leaders within your organisation and the wider industry, contributing to the development of future insights talent.
  • Publish thought leadership pieces or speak at major industry conferences on the future of insights, AI, and customer-centricity.
  • Participate in non-executive director roles or advisory boards to broaden your strategic perspective beyond our immediate industry.

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.

AI-Driven Market Prediction & Foresight

Traditional forecasting methods are struggling to keep pace with rapid market shifts. Advanced AI, particularly generative models and predictive analytics, can now process vast, unstructured datasets to identify weak signals and predict future consumer behaviours and market disruptions with unprecedented accuracy. This isn't just about 'what' will happen, but 'why' and 'when'.

  • Generative AI for Trend Spotting
  • Causal Inference with AI
  • Simulation & Scenario Planning
  • Ethical AI in Prediction

Behavioural Economics for Market Shaping

Understanding what consumers do is no longer enough; we need to understand why they do it, often irrationally. Behavioural economics provides the scientific framework to design products, services, and marketing interventions that nudge consumer behaviour in desired directions, moving beyond simple persuasion to actual market shaping. This is critical for driving adoption of new technologies or sustainable practices.

  • Nudge Theory & Choice Architecture
  • Cognitive Biases & Heuristics
  • Social Norms & Identity
  • Experimental Design (A/B Testing Advanced)

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise Survey Design & Methodology
  • Advanced Qualitative Strategy & Synthesis
  • Market & Customer Segmentation (Strategic)
  • Conjoint & MaxDiff Analysis (Strategic Interpretation)
  • Economic & Financial Modelling for Insights
  • Storytelling with Data (Board & Investor Level)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    VP, Global Marketing Insights (from another large enterprise)

    Direct lateral move, or 2-3 years as a Director of Insights at a larger, more complex organisation.

    Skills to master

    • Deep understanding of our specific industry dynamics, navigating our unique organisational culture, and building immediate credibility with the CEO and Board.

    You're ready to move on when

    • Proven track record of managing multi-million pound insights budgets and large global teams.
    • Demonstrable experience in influencing C-suite and Board-level strategic decisions.
    • Strong external network and reputation as a thought leader in consumer insights.
    • Ability to articulate a clear vision for the future of insights within our company context.
  2. 2

    Chief Data Officer (CDO) / Chief Analytics Officer (CAO) (from a data-heavy organisation)

    Often a lateral move, or 1-2 years in a CDO/CAO role at a smaller company.

    Skills to master

    • A deeper appreciation for the qualitative aspects of consumer insights, balancing technical data expertise with human understanding, and translating data strategy into consumer-centric outcomes.

    You're ready to move on when

    • Extensive experience with enterprise data strategy, governance, and architecture.
    • Proven leadership in building and scaling data science and analytics teams.
    • Ability to connect technical data capabilities directly to business value and consumer understanding.
    • Strong communication skills to bridge the gap between technical and business leadership.

15Where this role leads

The long view: This work can lead to board level roles, or to advisory and consulting work in insights and data strategy.

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 VP of Insights & Analytics is actually changing.

Where it leads

Roles this leads to

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

  • Chief Executive Officer (CEO) / Chief Commercial Officer (CCO)

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 Analysis and Visualisation, worked against VP of Insights & Analytics.

Data Analysis and Visualisation Level 7

Applied to your work in VP of Insights & Analytics

1. To enable the learner to critically analyse the theoretical underpinnings of data analytics and their impact on decision-making in business management contexts. 2. To enable the learner to assess diverse data analysis activities, techniques, and tools applicable to business management scenarios. 3. To enable the learner to compare and contrast various predictive analytic techniques, evaluating their strengths and weaknesses in forecasting future business events. 4. To enable the learner to evaluate how predictive analytic techniques can be practically implemented for forecasting purposes within the business sector. 5. To enable the learner to evaluate prescriptive analytic techniques, illustrating their application with relevant examples from the business management domain. 6. To enable the learner to apply a suitable programming language or data analysis tool to conduct data analysis and visualisation tasks related to business management problems.

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

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

Start my VP of Insights & Analytics plan, free
See Your Progress Grow Illustration
VP of Insights & Analytics
  • Enterprise Survey Design & Methodology
  • Advanced Qualitative Strategy & Synthesis
  • Market & Customer Segmentation (Strategic)
  • Conjoint & MaxDiff Analysis (Strategic Interpretation)
  • Economic & Financial Modelling for Insights
  • Storytelling with Data (Board & Investor Level)
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

VP of Insights & Analytics is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Marketing Officer (CMO)

    3-5 years as VP of Insights & Analytics

    Significant increase in overall P&L responsibility, broader remit across all marketing functions (brand, digital, product marketing, comms), and direct accountability for market share and revenue growth.

    • Full Marketing P&L Ownership Managing the entire marketing budget and demonstrating ROI across all activities.
    • Agency & Vendor Management (Strategic) Overseeing relationships with creative, media, and PR agencies at a global level.
    • Product-Market Fit Strategy Guiding product development from a broader market and commercial perspective.
    • Crisis Communications Leading the company's response to public relations crises and managing brand reputation.

  2. Chief Executive Officer (CEO) / Chief Commercial Officer (CCO)

    5-8 years as VP of Insights & Analytics, potentially with an interim role as CMO or CCO.

    Ultimate accountability for the entire company's performance (CEO) or all revenue-generating activities (CCO), including sales, business development, and customer success.

    • Full P&L Management (Company-wide) Ultimate responsibility for all financial outcomes of the organisation.
    • Sales & Revenue Operations Direct oversight of all sales channels, revenue generation, and commercial strategy.
    • Operations & Supply Chain (Strategic) Understanding and influencing the operational backbone of the business.
    • Legal & Regulatory Compliance (Enterprise) Ensuring company-wide adherence to all laws and regulations.
Working with AI on the job

Working with AI

Where AI is starting to help

At the executive level, your time is precious. It's about vision, strategy, and influence, not manual data wrangling. Here's the thing: AI isn't just for junior analysts anymore; it's a powerful strategic partner that can amplify your impact and free you up to focus on what truly matters.

Imagine having a co-pilot that can instantly synthesise vast amounts of market intelligence, draft compelling board presentations, and even flag potential strategic blind spots. That's the reality of AI for the modern VP of Insights & Analytics. We're not talking about replacing your team, but equipping them – and you – with tools that accelerate insight generation and elevate strategic decision-making.

Qualitative Analysis Autopilot (Enterprise Scale)

Use advanced AI models to automatically transcribe, translate, and perform deep thematic analysis on thousands of hours of global focus group recordings, IDIs, and customer service interactions. It identifies cross-cultural themes, sentiment shifts, and illustrative quotes, turning a multi-week, multi-region task into a few days, allowing your Directors to focus on strategic interpretation.

Open-End Answer Synthesizer (Strategic Overview)

Feed millions of open-ended survey responses and social media verbatims into an AI model. It automatically clusters responses into meaningful, high-level strategic topics and summarises the sentiment for each, providing you with a rapid, executive-level overview of customer sentiment across entire product lines or markets, without getting lost in the weeds.

Strategic Hypothesis Generation Assistant

Use AI as your ultimate research partner for market foresight. Ask it to synthesise the top 100 academic papers on a future trend, summarise competitor earnings calls, or identify emerging cultural shifts related to your entire product portfolio. This rapidly builds foundational knowledge for new strategic initiatives, allowing your team to explore novel opportunities faster.

First-Draft Board Storyteller

Provide an AI model with your key strategic data points, executive-level charts, and a target audience (e.g., 'Board of Directors'). It will generate a first draft of a comprehensive board presentation or investor briefing, creating a compelling narrative structure, identifying key talking points, and even suggesting counter-arguments that you can then refine and tailor.

Common questions

Common questions

How do you become a VP of Insights & Analytics?

Common routes in include VP, Global Marketing Insights (from another large enterprise) (Direct lateral move, or 2-3 years as a Director of Insights at a larger, more complex organisation.) and Chief Data Officer (CDO) / Chief Analytics Officer (CAO) (from a data-heavy organisation) (Often a lateral move, or 1-2 years in a CDO/CAO role at a smaller company.). Times vary with prior experience.

Where can a VP of Insights & Analytics progress to?

This role can lead on to Chief Marketing Officer (CMO) (3-5 years as VP of Insights & Analytics) and Chief Executive Officer (CEO) / Chief Commercial Officer (CCO) (5-8 years as VP of Insights & Analytics, potentially with an interim role as CMO or CCO.), depending on the skills you build.

What new skills matter most for a VP of Insights & Analytics?

Increasingly, AI-Driven Market Prediction & Foresight and Behavioural Economics for Market Shaping. These are the skills our record of this role lists as growing.

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17Where to go from here

Other roles at Level 6

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

 More jobs in marketing

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

Skills in consumer insights and analytics carry across sectors such as FinTech, Healthcare, Retail, Media, and public sector advisory work, wherever understanding behaviour and data matters for strategy.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my VP of Insights & Analytics 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.