UK

United Kingdom · Events and experiential marketing · Principal/Manager (12-16 years)

Manager, Event Analytics & Insights

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 bandPrincipal/Manager (12-16 years)
  • Direct reports3-5 reports
  • Reports toDirector, Experiential Marketing Intelligence
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Event Data Analytics Manager · Head of Event Measurement · Senior Manager, Experiential Data

Built on 43,079 real UK job descriptions we analysed · grounded in what real qualifications cover

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 3 of 5 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 1 of 5 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 5 standards
OTHM Level 6 Diploma in Information Technology OTHM Qualifications · Level 6 · covers 1 of 5 standards
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 4 of 5 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
Advanced Data Analytics for Productivity NOCN Level 5 Certificate in Strategic Organisational Productivity Management
Advanced Data Analytics OTHM Level 6 Diploma in Information Technology
Data Analysis and Visualisation 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
Automation Fluency building AI into how work runs
Systems Fluency seeing the whole picture
Your Plan Illustration

Built for Manager, Event Analytics & Insights

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

  1. Data Analytics Pearson Education Ltd · covers 3 of 5 standards Level 5
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 1 of 5 standards Level 5
  3. Advanced Data Analytics for Productivity NOCN · covers 1 of 5 standards Level 5
  4. Advanced Data Analytics OTHM Qualifications · covers 1 of 5 standards Level 6
  5. Data Analysis and Visualisation OTHM Qualifications · covers 4 of 5 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 Manager, Event Analytics & Insights?

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 Data Storytelling & Interpretation
  • Advanced Data Governance & Privacy Leadership
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 Manager, Event Analytics & Insights plan as you set up, starting with the free Automation Fluency module. No card.

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

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Keep this read. One email with what AI is changing in this job, the new skills it asks for and where to start free. Nothing else follows unless you confirm your address.

3What this role really is

This job leads a team that measures whether events deliver value for money. It involves shaping event strategy with data, using analysis, managing people and presenting findings to senior leaders.

4What you'd actually use

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

Cvent, Bizzabo, Splash (Event Management Platforms) Strategic

Leading platform selection/evaluation, negotiating contracts, and designing the enterprise-wide data architecture for event platforms. You'll ensure data capture aligns with strategic objectives.

Salesforce (Sales/Service Cloud), HubSpot, Marketo (CRM & Marketing Automation) Strategic

Owning the CRM data model for marketing, defining data governance policies, and aligning CRM strategy with overall business goals. You'll ensure event data flows correctly and is used effectively for lead nurturing and sales follow-up.

Tableau, Power BI, Looker Studio (BI & Data Visualisation) Strategic

Managing the BI server environment, setting standards for enterprise reporting, and presenting high-level dashboards to the C-suite, defending the data and insights. You'll ensure visualisations tell a clear, compelling story.

SQL (PostgreSQL, T-SQL), Excel (Power Query, XLOOKUP) Architect

Designing database schemas and ETL pipelines for event data. Making strategic decisions on data warehousing vs. data lakes. You'll ensure your team has access to clean, structured data for their analysis.

Python (pandas, Matplotlib, scikit-learn), R (Advanced Analytics & Scripting) Strategic

Setting the direction for the team's advanced analytical capabilities, championing the use of predictive analytics in event strategy, and vetting new analytical tools and methodologies. You'll guide your team in building robust models.

Qualtrics, SurveyMonkey, Typeform (Survey & Feedback Tools) Strategic

Designing the end-to-end Voice of the Attendee programme, linking feedback data to operational improvements and financial outcomes. You'll ensure we're capturing the right feedback and acting on it.

Snowflake, Anaplan, Collibra (Executive & Planning Platforms) User/Architect

Using Anaplan for budget modeling and forecasting related to event analytics spend. Defining data governance rules in Collibra for event data. Architecting data flows into Snowflake for enterprise-wide analysis, ensuring event data is integrated into the broader business intelligence landscape.

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
Event Data Strategy & Roadmap Follows established strategy, flags potential issues. Proposes minor adjustments to existing strategy based on project learnings. Designs and recommends significant improvements to the data strategy, consults with Lead Strategist.
Team Hiring & Performance No involvement. Provides informal feedback on junior colleagues, may assist with onboarding. Mentors 1-2 junior analysts, provides input on their performance. May interview candidates.
Technology & Tool Selection Uses assigned tools, flags issues. Evaluates new features within existing tools, proposes minor tool enhancements. Researches and recommends new analytical tools or features within existing tech stack, with business case. Consults with Lead Strategist.
Budget Allocation (within function) No budget authority. Estimates project costs for manager review. Manages project-level budgets (up to £5K), flags overruns to manager.

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.

Event ROI Improvement
The measurable increase in Return on Investment (ROI) for our key event programmes, specifically focusing on pipeline generated and closed-won revenue attributed to events.
Target · Influence a 15-20% increase in overall event ROI year-over-year.

Your team's analysis leads to a shift in event spend, resulting in a £1.5M increase in attributed pipeline from the event channel in H2, compared to H1.

Event Cost Per Acquired Customer (CAC) Reduction
Reducing the cost associated with acquiring a new customer through our event channels, based on your team's insights and recommendations.
Target · Contribute to a 10-15% reduction in event-driven CAC within 18 months.

By optimising event selection and targeting based on your team's data, the CAC for event-sourced customers drops from £1,500 to £1,300 over the year.

Event Data Maturity Score
An internal assessment of our Events_Experiential_Marketing department's capability in data collection, analysis, and strategic application.
Target · Improve our Event Data Maturity score from 'Reactive' to 'Proactive' within 2 years (as per internal framework).

Moving from ad-hoc post-event reports to predictive models for attendance and engagement, and having data integrated across all major platforms.

Team Productivity & Accuracy
The efficiency and reliability of your team's analytical outputs, including report delivery times and error rates.
Target · Maintain a <5% error rate on all executive-level reports and deliver 90% of routine reports on schedule.

Your team consistently delivers accurate, timely insights, meaning no last-minute corrections are needed for board presentations, and event managers get their post-event analysis promptly.

Strategic Influence & Adoption
The extent to which your team's insights and recommendations are adopted by senior leadership and directly shape event strategy and budget decisions.
  • You'll see your team's recommendations directly reflected in annual event plans, budget re-allocations, and new event formats. Senior leaders will proactively seek your team's input before making major event decisions. You'll be invited to strategic planning meetings, not just reporting sessions.
Team Development & Mentorship
Your ability to grow and develop your direct reports, fostering a culture of continuous learning and high performance within the analytics team.
  • Your team members will show clear progression in their skills and responsibilities. They'll feel supported and challenged, leading to high retention and positive feedback in performance reviews. You'll see your junior analysts taking on more complex projects with confidence.
Data Governance & Quality Leadership
Your leadership in establishing and enforcing robust data governance standards for all event data, ensuring its accuracy, consistency, and usability across the organisation.
  • We'll have clear documentation for data definitions, collection processes, and reporting standards. Data quality issues (e.g., duplicates, missing fields) will significantly decrease. Other teams (like Sales Ops) will look to your team as the authority on event data integrity.
Stakeholder Trust & Collaboration
The level of trust and effective working relationships you build with key internal and external stakeholders, positioning your team as a valued strategic partner.
  • Stakeholders will consistently praise your team's clarity, responsiveness, and ability to translate complex data into understandable insights. They'll proactively bring you into discussions early in the planning cycle, rather than as an afterthought for reporting.

7Would you like it

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

What people enjoy
Driving Strategic Impact with Data

You'll spend your days translating complex data into actionable strategies that directly influence how we plan, execute, and budget for events. Seeing your team's insights lead to a major shift in event investment or a significant improvement in customer acquisition will be your biggest win.

Your team's analysis reveals that smaller, executive-level dinners have a 3x higher pipeline conversion rate than large trade shows. You present this to the VP of Marketing, leading to a £500K reallocation of budget towards these more impactful formats.

Building and Mentoring a High-Performing Team

A significant part of your role is about coaching, developing, and empowering your team of analysts. You'll find satisfaction in seeing them grow, tackle more complex challenges, and deliver impactful work under your guidance.

One of your junior analysts, with your mentorship, successfully designs and implements a new predictive model for event attendance, which then gets adopted across the department and saves the team significant planning time.

Solving Complex Data Puzzles

You're naturally drawn to untangling messy datasets, figuring out how to stitch together disparate sources, and designing robust measurement frameworks. The challenge of proving event ROI where direct attribution is tricky is what keeps you engaged.

You successfully integrate data from our event app, CRM, and survey tool to create a comprehensive view of attendee journey and engagement, solving 'the stitching problem' that has plagued the team for years.

What frustrates people
  • The 'Quick Number' Ambush: Getting a 4:30 PM email from a senior leader asking for a completely new data cut for a morning board meeting, which actually requires hours of data stitching and validation.
  • Disconnected Tech Stack: Wrestling with APIs and manual CSV exports because our event platforms, CRM, and marketing automation systems don't 'talk' to each other as seamlessly as advertised.
  • Political Pressure for 'Good News': Feeling the implicit (or explicit) pressure to frame data in a way that makes a high-cost, high-visibility event look successful, even when the numbers tell a different story.
  • The Black Hole of Sales Follow-Up: Building a perfect attribution model only to have it break down because sales reps aren't consistently logging their event-related activities in Salesforce, making true ROI impossible to track.
  • Fighting the 'Butts in Seats' Mentality: Constantly having to educate stakeholders that total registrants or attendees are vanity metrics, and that quality, engagement, and pipeline generation are what truly matter.
What this role does not give you
  • A perfectly clean, harmonised data environment from day one – you'll be building and refining this.
  • A purely individual contributor role where you're just heads-down analysing data all day – leadership, team development, and stakeholder management are key.
  • A quiet, predictable work schedule – the events world has its peaks and troughs, and urgent requests are part of the deal.
  • Guaranteed immediate adoption of every single insight your team produces – influencing change takes time and persistence.

8Who you work with

This role directly influences the allocation of our multi-million pound event budget, ensuring that investments are made in programmes that demonstrably drive pipeline, revenue, and strategic objectives. You'll set the standard for data quality and analytical rigour across the entire Events_Experiential_Marketing department, ultimately improving our ability to measure and optimise marketing spend.

Inside the business
  • Director, Experiential Marketing Intelligence
  • VP of Marketing
  • Head of Events
  • Sales Leadership (VP/Director)
  • Finance Business Partners
  • Product Marketing Leads
Outside the business
  • Event Technology Vendors (Cvent, Bizzabo)
  • Data Platform Providers (Snowflake)
  • External Agencies (for data collection/analysis support)

9What you need before you start

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

  • Proven experience (5+ years) leading complex data analytics projects, ideally within a marketing or events context.
  • Demonstrable experience (2+ years) managing and mentoring a team of data analysts, with a track record of developing talent.
  • Expert-level proficiency in SQL for complex data querying and manipulation, including CTEs and window functions.
  • Advanced proficiency in at least one BI tool (Tableau, Power BI) for designing and publishing executive-level dashboards.
  • Strong understanding of statistical methods, experimental design (A/B testing), and predictive modelling techniques.
  • Excellent communication and presentation skills, with a proven ability to translate complex data into actionable business insights for senior leadership.

10What to practise next

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

Cloud Data Warehousing & Orchestration (e.g., Snowflake, dbt)

As event data volumes grow and integration needs become more complex, managing and orchestrating data within cloud environments like Snowflake will be paramount. You'll need to understand how to design efficient data pipelines and ensure data quality at scale, guiding your team on best practices for using tools like dbt for data transformation.

Data Lake vs. Data Warehouse Architectures · ELT (Extract, Load, Transform) Methodologies · Data Orchestration Tools (e.g., Airflow, Prefect) · Data Modelling for Analytics

  • This month: Familiarise yourself with the core concepts of Snowflake (or our chosen cloud data warehouse) and how our existing data flows into it.
  • Next 3 months: Take an online course on cloud data warehousing best practices or dbt (data build tool) to understand modern data transformation techniques.
  • Next 6 months: Lead a project to optimise an existing event data pipeline, focusing on efficiency, cost, and data quality within our cloud environment.
  • Next 12 months: Design a new data model within Snowflake to support a complex, multi-event attribution analysis, guiding your team through its implementation.

Quick win: Shadow our Data Engineering team for a day to understand their processes for data ingestion and transformation. It'll give you valuable context.

Advanced Statistical Modelling & Causal Inference

Moving beyond correlation to understand true causation in event impact will be a key differentiator. You'll need to guide your team in applying more sophisticated statistical methods to isolate the true impact of events, especially in complex marketing mixes.

Quasi-Experimental Designs · Propensity Score Matching · Bayesian Statistics for Small Data · Econometric Modelling

  • This month: Read a foundational book or take an online course on causal inference or advanced econometrics.
  • Next 3 months: Identify a specific event programme where isolating causal impact is challenging. Work with your team to design a quasi-experimental approach to measure its effectiveness.
  • Next 6 months: Present a case study to the wider analytics community on how your team used advanced statistical methods to prove the causal impact of a specific event type.
  • Next 12 months: Explore how to integrate advanced causal inference methods into our standard event ROI frameworks, making our attribution models more robust.

Quick win: Start by critically evaluating past event reports: did they truly prove causation, or just correlation? Challenge the assumptions.

11Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences (e.g., Marketing Analytics Summit, Event Tech Live) to stay abreast of emerging trends and technologies in event and marketing analytics.
  • Actively participate in online data science communities (e.g., Kaggle, Stack Overflow) to continuously hone your technical skills and explore new methodologies.
  • Engage in leadership development programmes focused on coaching, strategic influence, and change management to further enhance your managerial capabilities.
  • Dedicate time to reading academic papers and industry reports on advanced statistical methods, causal inference, and AI applications in marketing.
  • Seek out opportunities to mentor junior analysts outside your direct team, broadening your impact and refining your coaching 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.

AI-Driven Data Storytelling & Interpretation

While AI can generate first drafts of reports, the real skill will be in critically assessing AI output, identifying its biases, and adding the human nuance and strategic context that only you can provide. Competitors will use AI to churn out reports; you'll use it to craft truly insightful narratives.

  • AI Output Validation
  • Human-AI Collaboration Workflows
  • Ethical AI in Analytics
  • Prompt Engineering for Strategic Insights

Advanced Data Governance & Privacy Leadership

With increasing data volumes and stricter privacy regulations (e.g., potential GDPR updates, ePrivacy Regulation), leading data governance will become even more critical. You'll need to not just enforce policies but proactively design systems that are privacy-by-design, especially with new event tech and AI tools.

  • Privacy-by-Design Principles
  • Data Lineage & Audit Trails
  • Consent Management Platforms (CMPs)
  • Data Minimisation Strategies

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Multi-Touch Attribution (MTA) Modeling
  • Lead-to-Revenue Funnel Analysis & Optimisation
  • Event ROI & ROO Frameworks
  • Predictive Modeling for Events
  • Data Architecture & ETL Design
  • A/B Testing & Experimentation Design

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

    Senior Event Data Analyst / Lead Event Data Strategist (Internal)

    3-5 years at L3/L4

    Skills to master

    • Deep technical expertise in event data platforms and advanced analytics, proven ability to lead complex projects, informal mentorship of junior colleagues, and initial exposure to senior stakeholder presentations.

    You're ready to move on when

    • Consistently delivers high-impact analyses that influence project-level decisions.
    • Proactively identifies and solves complex data challenges without significant oversight.
    • Demonstrates natural leadership qualities and a desire to mentor and develop others.
    • Has successfully presented complex findings to mid-level management, defending their conclusions.
  2. 2

    Analytics Manager (from another Marketing discipline)

    10-15 years total experience, with 3-5 years in management

    Skills to master

    • Strong foundational analytics and people management skills, with a rapid learning curve for the nuances of event data and experiential marketing. Ability to quickly adapt existing frameworks (e.g., digital attribution) to the event context.

    You're ready to move on when

    • Proven track record of building and leading high-performing analytics teams in a related marketing domain.
    • Demonstrates a keen interest and understanding of the unique challenges and opportunities in event data.
    • Can articulate how their existing analytical frameworks would translate to measuring event ROI.
    • Has successfully navigated complex stakeholder environments and driven data-driven change.
  3. 3

    Consultant (Data/Marketing Analytics)

    10-15 years total experience, with 5+ years in consulting

    Skills to master

    • Exceptional problem-solving, strategic thinking, and client management skills. Ability to quickly diagnose analytical challenges, design solutions, and influence adoption in diverse organisational settings. Will need to quickly internalise our specific event data landscape.

    You're ready to move on when

    • Has successfully led multiple data analytics engagements for marketing or events clients.
    • Demonstrates strong project management and delivery capabilities.
    • Excels at executive-level communication and stakeholder management.
    • Is eager to move from a project-based consulting model to building and owning an internal function.

15Where this role leads

The long view: This role can lead to VP-level marketing analytics roles, a Chief Data Officer position, or a move into a Chief Marketing Officer role.

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 Manager, Event Analytics & Insights is actually changing.

Where it leads

Roles this leads to

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

  • Principal Data Scientist / Architect (IC Path - L5 equivalent or higher)

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 Manager, Event Analytics & Insights.

Data Analytics Level 5

Applied to your work in Manager, Event Analytics & Insights

The objective of this unit is to enable learners to understand and apply data analytics techniques for decision-making. Learners will be able to apply descriptive, predictive, and prescriptive analytic methods, utilising statistical methods, to convert raw data into actionable insights and determine the best course of action.

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

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

See Your Progress Grow Illustration
Manager, Event Analytics & Insights
  • Multi-Touch Attribution (MTA) Modeling
  • Lead-to-Revenue Funnel Analysis & Optimisation
  • Event ROI & ROO Frameworks
  • Predictive Modeling for Events
  • Data Architecture & ETL Design
  • A/B Testing & Experimentation Design
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

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

  1. Director, Experiential Marketing Intelligence (L6)

    3-5 years in current role

    One level up (L5 to L6)

    • Portfolio Optimisation Making strategic decisions on multi-million pound investments across the entire experiential marketing portfolio.
    • Advanced Predictive Modelling Overseeing the development of enterprise-level predictive models for customer lifetime value and marketing mix optimisation.
    • M&A Due Diligence Providing analytical expertise for potential mergers and acquisitions related to marketing capabilities.
    • Industry Thought Leadership Representing the company externally as an expert in experiential marketing intelligence.

  2. Principal Data Scientist / Architect (IC Path - L5 equivalent or higher)

    3-5 years in current role

    Lateral move or higher IC level

    • Machine Learning Engineering Building and deploying production-grade machine learning models for marketing optimisation.
    • Cloud Data Architecture Designing and optimising complex, scalable data architectures within cloud environments.
    • Advanced Statistical Inference Applying cutting-edge statistical methods to solve the most challenging attribution and causal inference problems.
    • Experimentation Platform Design Contributing to the design and implementation of internal A/B testing and experimentation platforms.
Working with AI on the job

Working with AI

Where AI is starting to help

As a Manager, your time is precious. Imagine if your team could deliver deeper insights, faster, by offloading the grunt work to AI. That's not just a dream; it's the reality we're building here. We're actively integrating AI tools to make our Event Analytics team more productive, more strategic, and frankly, more impactful.

You'll be leading the charge on how your team uses AI to automate repetitive tasks, generate first drafts of reports, and even uncover hidden patterns in event data. This isn't about replacing human analysts; it's about empowering them to focus on the truly strategic, high-value work that only humans can do. Your role will involve championing these tools, identifying new applications, and ensuring your team is skilled in prompt engineering and AI validation.

Automated Data Cleaning & Standardisation

Use AI to automatically clean, de-duplicate, and standardise messy attendee lists from various sources. Your team can feed raw CSVs into a custom GPT or dedicated AI tool, saving hours of manual formatting and ensuring data hygiene from the get-go. This means less time on tedious prep, more time on actual analysis.

AI-Powered Insight Generation & Summarisation

Upload large datasets or complex reports into an AI tool and ask it to identify key trends, outliers, and potential correlations. It can even draft executive summaries or bullet points for your presentations, giving your team a significant head start on crafting the narrative. Think of it as a super-smart research assistant.

First-Draft Report & Presentation Builder

Give an AI model your key data points, charts, and a brief outline, and it can generate a first draft of an entire post-event report or a slide deck. This frees up your team to focus on refining the story, adding nuanced interpretations, and preparing for stakeholder questions, rather than staring at a blank page.

Strategic Scenario Modelling & Hypothesis Generation

Use AI to explore 'what if' scenarios for event planning. Input historical data and ask the AI to suggest optimal event formats, target audiences, or budget allocations to achieve specific goals. It can also help generate hypotheses for A/B tests or new event strategies, giving your team a creative boost.

Common questions

Common questions

How do you become a Manager, Event Analytics & Insights?

Common routes in include Senior Event Data Analyst / Lead Event Data Strategist (Internal) (3-5 years at L3/L4), Analytics Manager (from another Marketing discipline) (10-15 years total experience, with 3-5 years in management) and Consultant (Data/Marketing Analytics) (10-15 years total experience, with 5+ years in consulting). Times vary with prior experience.

Where can a Manager, Event Analytics & Insights progress to?

This role can lead on to Director, Experiential Marketing Intelligence (3-5 years in current role) and Principal Data Scientist / Architect (3-5 years in current role), depending on the skills you build.

What new skills matter most for a Manager, Event Analytics & Insights?

Increasingly, AI-Driven Data Storytelling & Interpretation and Advanced Data Governance & Privacy Leadership. These are the skills our record of this role lists as growing.

Free tools

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Three free tools, no account needed. Each one ends with a role, a level and a way in.

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17Where to go from here

Other roles at Level 5

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

 More jobs in events and experiential marketing

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

The skills built here, leading analytics teams, designing measurement frameworks, influencing senior stakeholders and using data to guide decisions, apply beyond events. They transfer to marketing analytics roles in other B2B or B2C industries, and to wider data leadership roles in sectors such as finance, retail or technology. Proving return on investment and leading data-driven change matters in most industries.

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 free Automation Fluency module 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.