UK

United Kingdom · PR and communications · Principal/Manager (12-16 years)

Manager, Communications Analytics & Insights

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports3-5 reports
  • Reports toDirector, Communications Performance & Analytics
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Head of PR Measurement · Senior Manager, Communications Performance · Analytics Lead, Corporate Communications

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 1 of 1 standard
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 1 standard
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 1 of 1 standard
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 1 of 1 standard
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 1 of 1 standard
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 1 of 1 standard

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
Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analysis Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF)

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, Communications Analytics & Insights

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

  1. Data Analytics Pearson Education Ltd · covers 1 of 1 standards Level 5
  2. Data Analysis and Visualisation OTHM Qualifications · covers 1 of 1 standards Level 7
  3. Data Analytics Primer NOCN · covers 1 of 1 standards Level 4
  4. Data Analysis Highfield Qualifications · covers 1 of 1 standards Level 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Manager, Communications 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 Measurement Strategy & Validation
  • Integrated Marketing & Comms Attribution
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, Communications 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 involves leading communications measurement, managing a small team, and proving the value of communications work through data.

4What you'd actually use

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

Cision Communications Cloud / Meltwater / Signal AI (Strategic Platform Management) Expert

Evaluating and selecting the optimal media monitoring and intelligence platforms for the organisation, negotiating contracts, overseeing API integrations with other systems, and ensuring the team gets maximum value from these tools. You're the one who decides which tools we use and how they fit into our overall data strategy.

Brandwatch / Sprinklr (Enterprise Social Listening Strategy) Expert

Defining the enterprise-wide strategy for social listening, integrating this data with other business intelligence (e.g., CRM) to create a holistic voice-of-customer programme. You'll oversee complex query design and ensure the insights generated are tied to strategic business objectives.

Google Analytics 4 (GA4) / Adobe Analytics (Measurement Architecture) Expert

Defining the enterprise-wide event tracking and attribution model strategy for web analytics. You'll be responsible for connecting web analytics data to business outcomes (e.g., MQLs, revenue) and ensuring the comms team understands its impact on digital channels.

Tableau Server / Power BI Premium (Enterprise Dashboard Management) Expert

Managing the enterprise-wide deployment of interactive dashboards, ensuring data governance, security, and accessibility. You'll present key insights from these dashboards to the C-suite and ensure they are used for strategic decision-making across the comms function.

SQL / Python (pandas) (Data Architecture & Advanced Analysis) Advanced

Directly querying large databases for complex analyses that platform UIs can't handle. You'll architect data pipelines with engineering teams, ensuring robust data ingestion, transformation, and storage for all communications measurement data. This is about building the backbone of our measurement capability.

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
Campaign Measurement Framework Design Follows pre-defined templates, seeks guidance on any customisation. Independently designs frameworks for routine campaigns, consults manager on complex ones. Designs complex frameworks for strategic campaigns, makes recommendations to comms leads.
Vendor Selection & Management Uses existing tools, reports issues to manager. Evaluates new features within existing tools, provides feedback on vendor performance. Researches and recommends new tools or vendors, participates in demos.
Team Hiring & Performance No hiring authority; receives performance feedback. Provides input on junior hires, receives performance reviews. Interviews junior candidates, mentors new joiners, contributes to performance reviews.
Budget Allocation for Measurement Tools/Projects No budget authority; uses allocated resources. Requests resources for specific tasks, tracks project expenses. Proposes budget for specific projects or tool upgrades (up to £5K).

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.

Strategic Influence Score
How often your team's measurement insights are directly cited or used in quarterly business reviews (QBRs) or strategic planning sessions by comms leadership.
Target · Measurement insights cited in at least 50% of comms QBRs annually.

In the Q3 comms review, the Head of PR specifically referenced your team's analysis on message pull-through in Tier 1 media to justify shifting focus for the next campaign. That counts.

Communications Budget Optimisation
Identifying and quantifying opportunities to reallocate communications budget to higher-performing activities based on your team's data, or demonstrating cost savings through more efficient measurement processes.
Target · Identify opportunities to reallocate >10% of the comms budget annually, or deliver £50K+ in cost savings.

Your analysis showed that a particular influencer programme wasn't driving any measurable web traffic or brand mentions. Based on this, we reallocated £75K from that programme to a more effective thought leadership content series.

Measurement Capability Maturity Score
Improving the organisation's overall communications data maturity, moving us from reactive reporting to proactive, predictive insights. This is often based on an internal assessment framework.
Target · Improve our internal data maturity score by at least one level (e.g., from 'Reactive' to 'Proactive') within 18 months.

After 12 months, our internal audit showed we've moved from simply reporting media mentions to actively linking comms activities to brand perception shifts, thanks to your new frameworks and team training.

Team Data Accuracy & Timeliness
The combined error rate across all recurring reports produced by your team, and their adherence to deadlines.
Target · <1% error rate in all reports; 95%+ of reports delivered on time.

Your team delivered all 12 monthly reports on time last quarter, and a spot check of 5 reports found only one minor data discrepancy, which was quickly corrected.

Stakeholder Trust & Collaboration
How well your team is seen as a trusted partner by the wider comms and marketing teams, proactively sought out for advice, and effectively collaborates on projects.
  • Comms leads regularly come to your team for advice before launching new campaigns. Your team is consistently included in early-stage planning meetings. Feedback from internal surveys praises your team's helpfulness and expertise. You're seen as an enabler, not just a reporter.
Team Development & Mentorship
The growth and development of your direct reports, including their skill progression, engagement, and retention.
  • Your team members are actively pursuing new skills (e.g., SQL, advanced Tableau). You've successfully mentored junior analysts, leading to internal promotions or increased responsibilities. Your team's engagement scores are consistently high in internal surveys. They feel supported and challenged.
Vendor Relationship Management
The effectiveness of your relationships with external data and research vendors, ensuring we get maximum value from our contracts and tools.
  • You've successfully negotiated contract renewals, securing better terms or new features. Vendors proactively share product roadmaps and best practices with you. Any issues with data quality or tool functionality are resolved quickly and efficiently, often before they become major problems.
Clarity of Data Storytelling
The ability of your team (under your guidance) to translate complex data into clear, concise, and actionable narratives for non-technical leadership.
  • Executive summaries of reports are consistently praised for their clarity and 'so what?' factor. Leadership can easily understand the implications of the data without needing a deep dive into the methodology. Your presentations are engaging and lead to clear next steps.

7Would you like it

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

What people enjoy
Building a High-Performing Team

You'll spend time coaching your direct reports, helping them unstick tricky data problems, and celebrating their successes. You'll design development plans and look for opportunities for them to grow. Seeing your team thrive and deliver excellent work is a big win for you.

You've just helped one of your analysts land a promotion by giving them the tools and confidence to lead a complex project, and you feel a real sense of pride in their achievement.

Driving Strategic Impact through Data

You're constantly looking for the 'so what?' in the numbers. You enjoy presenting findings to senior leadership and seeing your team's insights directly influence major comms decisions. You want to move the needle on reputation, brand awareness, or even sales through better measurement.

Your team's quarterly report directly led to a significant shift in our content strategy, and you can see the positive impact on our brand sentiment scores just two months later.

Optimising Systems & Processes

You get a real kick out of streamlining workflows, automating repetitive tasks, and building robust, scalable measurement frameworks. You're always thinking about how we can do things better, faster, and more accurately, both for your team and the wider department.

You've just implemented a new data validation process that cut down report generation time by 20% and significantly reduced manual errors, making everyone's life easier.

What frustrates people
  • Constant pressure to prove ROI for comms, which is often indirect and long-term.
  • Fighting against the desire for 'vanity metrics' from senior comms leaders.
  • Dealing with 'garbage in, garbage out' from monitoring tools, meaning your team spends ages cleaning data.
  • Last-minute, 'urgent' requests that derail planned work and stress your team.
  • Explaining complex statistical nuance to executives who just want a simple headline.
  • Being accountable for your team's performance and mistakes, even when you delegate effectively.
  • Vendor tools not delivering on promises or having frustrating limitations.
What this role does not give you
  • A purely individual contributor role with no management responsibilities.
  • A static, predictable environment where processes never change.
  • A role where all your recommendations are always immediately adopted.
  • Freedom from budget constraints or vendor negotiations.
  • A job where you never have to deal with messy, imperfect data.

8Who you work with

This role directly impacts the strategic effectiveness and budget allocation of our entire communications function. By providing robust, data-driven insights, you'll help us optimise campaign performance, strengthen our brand reputation, and ultimately contribute to key business objectives like customer acquisition and retention. You're essentially the guardian of our comms ROI, making sure every pound spent delivers real value.

Inside the business
  • Director, Communications Performance & Analytics (your boss)
  • Head of PR & Media Relations
  • Head of Internal Communications
  • Marketing Leadership (CMO, Head of Digital Marketing)
  • Product Marketing Leads
  • Regional Communications Leads
Outside the business
  • Media Monitoring & Social Listening Vendors (e.g., Cision, Brandwatch)
  • External Research Agencies (e.g., Kantar, Nielsen)
  • PR Agencies (for shared measurement frameworks)
  • Industry Bodies (e.g., AMEC)

9What you need before you start

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

  • Proven experience (typically 8-12 years) in communications measurement, data analytics, or a related field, with a significant portion spent in a senior or lead role.
  • Demonstrable experience managing and mentoring junior analysts, including performance reviews and career development.
  • Track record of designing and implementing comprehensive measurement frameworks that link communications activities to business outcomes.
  • Expert-level proficiency with at least two major media monitoring platforms (e.g., Cision, Meltwater, Signal AI) and one major social listening tool (e.g., Brandwatch, Sprinklr).
  • Advanced data visualisation skills using Tableau or Power BI, including managing enterprise-level dashboards.
  • Strong understanding of web analytics (GA4 or Adobe Analytics) and how to extract comms-relevant insights.
  • Experience with SQL or Python (pandas) for complex data manipulation and analysis, or a clear path to quickly acquire this skill.
  • Exceptional ability to translate complex data into clear, actionable insights for senior leadership.

10What to practise next

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

Data Engineering & Pipeline Management

As we collect more data from more sources, managing its flow, quality, and accessibility becomes critical. You'll need to understand the principles of data engineering to work effectively with IT/engineering teams and ensure your team has reliable data.

ETL (Extract, Transform, Load) Processes · API Integrations · Data Warehousing & Data Lakes · Data Quality & Governance Frameworks

  • This quarter: Spend time with our internal IT/Data Engineering team. Understand their data architecture, what tools they use, and how data flows through the organisation.
  • Next 6 months: Take an online course on SQL for data engineering or an introduction to cloud data platforms (e.g., AWS S3, Google Cloud Storage).
  • Next 9 months: Lead a project to automate data ingestion from one of your key media monitoring platforms into our internal data warehouse, working directly with engineering.
  • Next 12 months: Develop a data quality monitoring dashboard for your key comms data sources, flagging any anomalies automatically.

Quick win: Start documenting the current data flow for your team's most critical reports. Where does the data come from? How is it cleaned? Where does it go? This helps identify bottlenecks and potential automation points.

11Staying current once you are in

What people here do to keep up
  • Active participation in industry bodies like AMEC, attending conferences, and contributing to discussions on measurement best practices.
  • Regularly engaging with online courses or workshops on advanced analytics, data science, or AI applications in communications.
  • Mentoring junior professionals within the industry or through formal programmes, sharing your expertise and building your network.
  • Reading key industry publications and academic research on communications effectiveness and measurement trends.

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 Measurement Strategy & Validation

AI is rapidly automating routine data tasks and generating insights. Your role shifts from just using AI to strategically deploying it across your team, validating its outputs, and understanding its limitations. Competitors will be using AI to generate reports in minutes, not hours, so you need to lead the charge here.

  • Prompt Engineering for Measurement
  • AI Output Validation & Hallucination Detection
  • Ethical AI Use in Communications
  • Integrating AI with Existing Tools

Integrated Marketing & Comms Attribution

The lines between PR, marketing, and sales are blurring. Leadership increasingly wants to see a holistic view of how all efforts contribute to the bottom line. You'll need to move beyond just comms-specific metrics and understand how PR fits into a multi-touch attribution model.

  • Multi-Touch Attribution Models
  • Shared Metrics & KPIs Across Functions
  • Data Integration & Standardisation
  • Econometric Modelling Basics

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • AMEC Integrated Evaluation Framework (IEF) & Measurement Architecture
  • Advanced Sentiment & Thematic Analysis Oversight
  • Correlation, Causation & Attribution Modelling
  • Strategic Survey Design & Advanced Statistical Analysis

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 Communications Measurement Analyst (L3-L4)

    3-5 years in a senior/lead analyst role, often managing projects or mentoring junior team members informally.

    Skills to master

    • Designing complex measurement frameworks, advanced data visualisation, stakeholder management, and informal leadership/mentorship.

    You're ready to move on when

    • You've consistently delivered high-impact insights that led to strategic changes.
    • You're the 'go-to' person for complex analytical challenges.
    • You've successfully mentored junior colleagues and taken on project leadership responsibilities without formal title.
    • You've demonstrated the ability to influence senior stakeholders with data-backed arguments.
  2. 2

    Analytics Manager from a related field (e.g., Marketing Analytics, Business Intelligence)

    5-8 years in a similar analytical management role, then 1-2 years specialising in comms-specific data.

    Skills to master

    • Translating core analytical management skills to the unique challenges of comms measurement, understanding media monitoring tools, and navigating PR-specific stakeholder dynamics.

    You're ready to move on when

    • You have a proven track record of managing an analytics team and driving data-driven decisions in a different domain.
    • You've actively sought out opportunities to learn about communications measurement and its specific tools/methodologies.
    • You can articulate how your previous experience directly translates to solving comms measurement challenges.
    • You've demonstrated strong leadership and stakeholder management skills in complex environments.
  3. 3

    Senior Consultant (PR/Comms Measurement) from an Agency

    4-6 years as a senior consultant, often managing client accounts and measurement projects.

    Skills to master

    • Adapting agency-side measurement frameworks to an in-house corporate environment, managing internal stakeholders, and building long-term internal capabilities.

    You're ready to move on when

    • You've successfully managed multiple client measurement programmes, often leading small teams.
    • You're adept at translating client needs into robust measurement plans and presenting findings.
    • You understand the challenges of building and scaling an internal measurement function.
    • You're ready to move from a project-based consultancy model to a continuous, in-house leadership role.

15Where this role leads

The long view: This work can lead into senior roles. These include VP of Global Insights and Communications Strategy, Head of Marketing Analytics and BI, or Chief Data Officer.

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, Communications 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 Communications Measurement Strategist (L5/L6 IC Path)

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, Communications Analytics & Insights.

Data Analytics Level 5

Applied to your work in Manager, Communications 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, Communications Analytics & Insights
  • AMEC Integrated Evaluation Framework (IEF) & Measurement Architecture
  • Advanced Sentiment & Thematic Analysis Oversight
  • Correlation, Causation & Attribution Modelling
  • Strategic Survey Design & Advanced Statistical Analysis
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, Communications Analytics & Insights is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director, Communications Performance & Analytics (L6)

    3-5 years as Manager, Communications Analytics & Insights.

    This is a significant step up, moving from managing a team and function to setting the overall measurement strategy for the entire communications department and influencing broader business unit strategy.

    • Integrating comms data with other business intelligence at an enterprise level.
    • Leading M&A due diligence and integration from a communications data perspective.
    • Shaping go-to-market strategy based on comprehensive market insights.
    • Developing and nurturing strategic partnerships with external data providers and research firms.

  2. Principal Communications Measurement Strategist (L5/L6 IC Path)

    3-5 years as Manager, Communications Analytics & Insights, or moving directly from a Lead role.

    This is an individual contributor (IC) path, offering increased technical depth and strategic influence without direct people management. It's a lateral move in some ways, but a significant increase in technical scope.

    • Developing proprietary measurement methodologies or intellectual property.
    • Leading cross-functional data science projects that integrate comms data.
    • Acting as an internal expert consultant for the most challenging measurement problems.
    • Driving innovation in measurement tools and techniques across the organisation.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, managing a comms measurement team means juggling a lot. From endless data cleaning to trying to prove ROI, it's a constant battle. But what if you could give your team back hours every week, freeing them up for deeper analysis and more strategic work? That's where AI comes in.

As the Manager of Communications Analytics & Insights, you're not just using AI yourself; you're driving its adoption across your team. You'll be looking for ways to automate the tedious, repetitive tasks so your analysts can focus on what really matters: uncovering game-changing insights. This isn't about replacing people; it's about making your team incredibly powerful and efficient.

Automated Thematic & Sentiment Tagging

Imagine your team no longer spending days manually tagging thousands of media mentions. Use advanced NLP models to automatically categorise coverage by custom themes (e.g., 'Innovation', 'ESG', 'Leadership') and even refine sentiment scores. This means faster, more consistent data for analysis, freeing up your team for the 'why' behind the numbers. You'll oversee the setup and validation, ensuring accuracy.

Proactive Anomaly & Trend Detection

Deploy AI-driven tools to constantly monitor real-time data streams from all your platforms. These tools can automatically flag unusual spikes in negative sentiment, emerging competitor narratives, or unexpected conversation topics. This means your team can identify potential crises or opportunities in minutes, not days, allowing for much faster and more strategic responses. You'll guide the team on what to look for and how to react.

Rapid Research Summarisation & Synthesis

Empower your team to use GenAI to instantly summarise long-form articles, broadcast transcripts, or complex analyst reports. This extracts key messages, sentiment, and critical quotes at lightning speed. Your analysts can then spend less time reading and more time synthesising information, allowing them to build more comprehensive and timely insights for leadership. You'll ensure they're validating the AI's output, of course.

First-Draft Executive Summary Generation

After your team has pulled all the data and created the charts, use GenAI to generate a first draft of the monthly or quarterly measurement report's executive summary. By feeding in key data points and visuals, the AI can translate raw numbers into a business-focused narrative, saving your analysts significant time on initial drafting. You'll then refine it, adding your strategic oversight and unique voice.

Common questions

Common questions

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

Common routes in include Senior Communications Measurement Analyst (L3-L4) (3-5 years in a senior/lead analyst role, often managing projects or mentoring junior team members informally.), Analytics Manager from a related field (e.g., Marketing Analytics, Business Intelligence) (5-8 years in a similar analytical management role, then 1-2 years specialising in comms-specific data.) and Senior Consultant (PR/Comms Measurement) from an Agency (4-6 years as a senior consultant, often managing client accounts and measurement projects.). Times vary with prior experience.

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

This role can lead on to Director, Communications Performance & Analytics (3-5 years as Manager, Communications Analytics & Insights.) and Principal Communications Measurement Strategist (3-5 years as Manager, Communications Analytics & Insights, or moving directly from a Lead role.), depending on the skills you build.

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

Increasingly, AI-Driven Measurement Strategy & Validation and Integrated Marketing & Comms Attribution. These are the skills our record of this role lists as growing.

Free tools

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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 PR and communications

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

Leading analytical teams, managing complex data, turning insights into strategy, and influencing senior stakeholders are skills that carry across sectors. This can lead to marketing analytics, business intelligence, data science leadership, or product management roles, particularly in technology, finance, or consultancy. Being able to prove the value of a function like communications, where results are not always obvious, is a distinct strength.

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.