United Kingdom · PR and communications · Mid-Level (2-5 years)

Communications Analyst

As a Communications Data Analyst, you transform raw data into insights that shape our PR impact.

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

See how AI is changing this job, and get the full read by email.

Start my free AI Fluency module

As a Communications Analyst, a good place to start on Prompt Engineering for Comms AI is Using and Checking AI Tools in Daily Work, a free Future Fluency module at Level 3. You'd practise using everyday AI tools on real tasks from your own week, and checking what they produce before you use it.

Free to start, no card.

Keep this job description

Where should we send it?

One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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Experience bandMid-Level (2-5 years)
Direct reportsNo direct reports
Reports toSenior Communications Analyst or Lead, Communications Analytics & Insights
UK framework levelUsually a coordinator, or early in a professional job

Also advertised as PR Measurement Specialist · Media Insights Analyst · Digital Comms Data Analyst

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

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 4 of 11 standards

OCNLR Level 4 Certificate in Digital Marketing OCN London · Level 4 · covers 2 of 11 standards

OCNLR Level 4 Diploma in Digital Marketing OCN London · Level 4 · covers 2 of 11 standards

OCNLR Level 4 Award in Digital Analytics OCN London · Level 4 · covers 2 of 11 standards

BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 2 of 11 standards

ATHE Level 4 Extended Diploma in Digital Marketing ATHE Ltd · Level 4 · covers 2 of 11 standards

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

The units you would start with

Data Analytics Primer NOCN Level 4 certificate for Data Analysts

Digital Analytics OCNLR Level 4 Certificate in Digital Marketing

Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts

Digital Business, Marketing Metrics and Analytics ATHE Level 4 Extended Diploma in Digital Marketing

The future skills this job leans on

AI Fluency working with AI as a thinking partner

Data Fluency turning numbers into a decision

Systems Fluency seeing the whole picture

Your Plan Illustration

Built for Communications Analyst

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

Data Analytics Primer NOCN · covers 4 of 11 standards Level 4
Digital Analytics OCN London · covers 2 of 11 standards Level 4
Data Analysis BCS, The Chartered Institute for IT · covers 2 of 11 standards Level 4
Digital Business, Marketing Metrics and Analytics ATHE Ltd · covers 2 of 11 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 Communications Analyst?

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

How the AI economy is changing work like this

A broad read on this kind of work, not an analysis of this job on its own. Roles that share a pattern get the same answer here.

Fading: AI does more of this

AI is taking over the repetitive tasks of drafting initial report summaries and classifying social media comments.

→

Rising: worth more because of AI

Your ability to interpret nuanced data insights and provide strategic recommendations becomes more valuable than ever.

The new skill this role is being asked for

Prompt Engineering for Comms AI

Why each one is rising

The future skills this job leans on

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

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

What happens when you start

Next, a free account. We build your Communications Analyst plan as you set up, starting with the free AI Fluency module. No card.

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

Ready to pay? Subscribe for £70 a month

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

We see you

You wonder if AI will replace the meticulous parts of your job, but deep down, you know your human intuition and understanding of context are irreplaceable. It's not the data itself, but the stories you can tell with it that make you valuable.

A Communications Analyst gathers and studies data on how PR and communications work land with audiences. The work involves pulling data, spotting trends, and working out what is landing and with whom.

4A day in the life

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

08:45

You start your day by checking the latest media mentions and social chatter, noting any spikes or anomalies.

11:00

You dive into building a dashboard on Power BI, connecting various data sources to create a visual that PR Managers can easily interpret.

14:30

You spend some time cleaning the data, ensuring consistency and reliability before beginning your analysis.

16:00

You prepare a summary of your findings for a campaign performance report, highlighting key insights and trends to discuss with your Senior Analyst.

5What you'd actually use

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

Meltwater / Cision (or similar media monitoring) Intermediate

Building basic queries, pulling pre-defined reports, tagging sentiment, and extracting media coverage lists for campaigns.

Google Analytics 4 (GA4) Intermediate

Navigating standard reports, building basic segments, understanding UTM tracking, and pulling traffic/conversion data related to comms campaigns.

Tableau / Power BI (or similar BI tool) Basic

Interpreting and filtering existing dashboards, creating simple charts and tables from clean data sets for reports.

Excel (Power Query, XLOOKUP, Pivot Tables) Advanced

Cleaning, merging, and analysing large datasets using advanced formulas, Pivot Tables, and Power Query for automation.

SQL (PostgreSQL) Basic

Running existing `SELECT` queries with `WHERE` clauses to extract specific data from internal databases for analysis.

PowerPoint / Google Slides Intermediate

Creating clear, concise, and visually appealing slides from provided data and insights for internal presentations.

Confluence / Notion (or similar documentation tool) Intermediate

Documenting data processes, methodologies, and key findings for team knowledge sharing.

6What you get to decide, and how that grows

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

The choice	Coming in	Where you are now	The step above
Data Cleaning Methodology	Follows established guidelines; consults supervisor for exceptions.	Independently chooses and applies appropriate cleaning methods; consults on novel data types.	Defines and refines data cleaning best practices for the team.
Report Content & Structure (Recurring)	Populates pre-defined templates with data.	Takes ownership of recurring reports, suggesting minor improvements to content or layout.	Designs new report formats and content based on evolving business needs.
Tool Selection (New Features/Integrations)	Uses existing tools as instructed.	Explores new features within existing tools; proposes minor tool enhancements to Senior Analyst.	Evaluates and recommends new tools or major platform integrations.
Prioritisation of Ad-Hoc Requests	Supervisor assigns priorities.	Prioritises routine ad-hoc requests based on urgency and impact, consulting Senior Analyst for conflicts.	Manages and negotiates priorities for a portfolio of requests across multiple stakeholders.

7How 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.

Data Accuracy

The precision and correctness of data collected, cleaned, and presented in reports.

Target · Less than 2% error rate on all manual data pulls and report generation.

If you're pulling a list of media mentions for a campaign, we expect fewer than 2 errors (like duplicates or irrelevant articles) per 100 entries. Same goes for numbers in dashboards.

Report Timeliness

The ability to deliver recurring reports and ad-hoc analysis requests by agreed-upon deadlines.

Target · 98% of all recurring weekly/monthly reports delivered on schedule.

The weekly media sentiment report needs to be in the PR Director's inbox by 9 am every Monday. Missing it means they're unprepared for their morning meeting.

Dashboard & Report Adoption

How often the comms team actually uses the dashboards and reports you create to inform their work.

Target · Achieve 75% weekly active usage on self-serve dashboards by the core comms team.

If you build a brilliant new dashboard, but only 2 out of 10 team members look at it regularly, it's not really helping. We want people to rely on your work.

UTM Tagging Compliance

Ensuring all outbound links from comms activities (press releases, social posts, newsletters) have correct UTM parameters for tracking.

Target · Maintain 95% compliance on all comms-generated links having correct UTMs.

If we send out 10 press releases in a month, at least 9.5 of them need to have perfectly configured UTMs so we can track their web traffic impact.

Insight Quality

The clarity, depth, and actionability of the 'so what?' from your analysis, not just the numbers themselves.

Your reports don't just show charts
they include a clear, concise summary of what the data means and what the team should consider doing next. You'll get feedback like, 'That's really helpful, I hadn't thought of it that way,' or 'Your insight helped us tweak the messaging for next week's launch.'

Proactive Problem Solving

Identifying potential data issues or reporting gaps before they become major problems.

You'll flag a drop in UTM tagging compliance before the Lead Analyst asks. You might notice a weird spike in negative sentiment and dig into it before anyone else spots it, bringing potential issues to the team's attention with potential causes.

Stakeholder Satisfaction (Internal)

How happy the PR and comms team are with the support and insights you provide.

They'll come to you directly with questions, trust your numbers, and see you as a reliable partner. You'll get positive comments in 1-on-1s with your manager about your helpfulness and responsiveness.

Process Improvement Contributions

Your ideas and contributions to making our data collection, cleaning, or reporting processes more efficient.

You might propose a new Excel template that saves 30 minutes on a weekly report, or suggest a better way to organise our social listening queries. Your ideas are listened to and sometimes implemented, even if they're small.

8Would you like it

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

What people enjoy

Solving Puzzles with Data

You love the challenge of taking disparate data points and piecing them together to form a clear picture. Finding that 'aha!' moment when a trend finally makes sense is what gets you going.

Spending an afternoon trying to correlate a spike in website traffic to a specific media mention, filtering out other marketing activities, and finally finding the link.

Making an Impact on Strategy

You want your work to actually be used. Knowing that your analysis helps the comms team refine their messaging or target new audiences is genuinely satisfying.

Seeing a PR campaign adjust its focus based on your report showing that a particular message isn't resonating with the target audience.

Continuous Learning & Improvement

You're always keen to learn new tools, better ways to analyse data, or different measurement frameworks. The idea of constantly improving your craft excites you.

Taking the initiative to learn a new feature in Meltwater or a more advanced Excel function to speed up a recurring report.

What frustrates people

The Attribution Black Hole: You'll spend hours trying to definitively prove a feature story in Forbes led to a specific enterprise sale, which is often impossible and politically fraught.
Dirty Data Drudgery: Expect to spend 30-40% of your time cleaning messy data: de-duping media clips, correcting faulty sentiment tags, and chasing down team members who forgot to use UTM codes.
Pressure to Be a Spin Doctor: You will face direct and indirect pressure to find a positive story in the data, even when a campaign underperformed. Your integrity will be tested.
'Can you just pull...': The constant stream of 'five-minute' data requests from leadership that are never five minutes and will completely derail your planned work and strategic projects.
Walled Garden Data: Fighting for access to data from other departments (Salesforce, Marketo, Finance) is a constant political battle. You'll be told 'it's complicated' or 'we're too busy.'
Explaining the Basics, Again: You will have to explain what statistical significance is, why correlation isn't causation, and why AVEs are a meaningless metric to the same people multiple times.

What this role does not give you

A perfectly clean, ready-to-analyse dataset every day.
Complete control over the strategic direction of communications (that's for more senior roles).
Zero interaction with non-technical stakeholders who might not 'get' data.
A guarantee that every piece of your analysis will lead to an immediate, visible change.

9Who you work with

This role directly impacts the effectiveness and strategic direction of our Public Relations and Communications efforts. Your analysis helps us understand our brand's reputation, the reach of our messages, and the return on investment for our comms activities. Basically, you help us prove that PR isn't just 'fluffy stuff' – it's a measurable business driver.

Inside the business

PR & Communications Team (your main internal client)
Marketing Team (especially Digital Marketing)
Product Marketing Managers
Content Team

Outside the business

Media Monitoring & Social Listening Vendors (e.g., Meltwater, Cision)
PR Agencies (if we use them)

10What you need before you start

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

Solid grasp of Excel, including advanced formulas, Pivot Tables, and Power Query. Honestly, if you're not comfortable with this, you'll struggle.
Experience with at least one media monitoring platform (e.g., Meltwater, Cision) and one web analytics tool (e.g., Google Analytics).
A foundational understanding of statistical concepts like averages, percentages, and basic correlations (and the difference between correlation and causation).
Ability to translate raw data into clear, concise written summaries and basic visualisations.
Demonstrable experience taking ownership of recurring analytical tasks and delivering them reliably.

11What to practise next

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

Advanced SQL & Database Understanding

As our data sources multiply and become more complex, relying solely on pre-built reports or basic queries won't cut it. You'll need to extract, transform, and load data more independently.

JOINs and Subqueries · Window Functions · Data Warehousing Basics

This month: Complete an online course on intermediate SQL (e.g., DataCamp, Udemy).
Next quarter: Work with a Senior Analyst to write a complex SQL query for a specific project.
Within 6 months: Be able to independently pull and transform data from 2-3 different database tables using SQL.

Quick win: Ask your Senior Analyst for more complex SQL tasks or challenges. Try to rewrite existing basic queries to be more efficient or pull more detailed information.

Basic Python for Data Analysis (Pandas)

Python offers unparalleled flexibility for data cleaning, transformation, and automation that Excel just can't match, especially with large or varied datasets. It's becoming the industry standard for serious data work.

Pandas DataFrames · Data Cleaning & Manipulation · Basic Visualisation with Matplotlib/Seaborn

This month: Start a beginner Python for Data Science course (e.g., Codecademy, freeCodeCamp).
Next quarter: Try to automate one small, repetitive Excel task using a Python script.
Within 6 months: Be able to import, clean, and perform basic analysis on a dataset using Python Pandas.

Quick win: Install Python and Jupyter Notebooks on your machine. Try running some basic code examples you find online. No pressure to be an expert, just get comfortable with the environment.

12Staying current once you are in

What people here do to keep up

Regularly engage with industry blogs and publications (e.g., AMEC, PRWeek, Marketing Week) to stay on top of new measurement techniques and trends.
Attend webinars or online courses on advanced Excel, SQL, or introductory Python for data analysis.
Participate in data visualisation communities or forums to learn best practices and get feedback on your work.
Seek out opportunities to present your findings to different internal teams to hone your communication skills.

13The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering for Comms AI

Essential for future readiness in this role.

Context windows and token limits
Temperature settings for different tasks
RAG architectures for proprietary data
Output validation and hallucination detection
Prompt chaining for complex analysis

14What you’ll use

What you’ll use

Skills this role draws on

Technical

Integrated Measurement Frameworks (e.g., AMEC IEF)
Attribution & Correlation Analysis (Basic)
Advanced Sentiment & Narrative Analysis
Share of Voice (SOV) & Competitor Intelligence
Audience Psychographics & Segmentation (Basic)
Survey Design & Analysis (Basic)

15The 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
Junior Communications Analyst / Associate
1-2 years
Skills to master
- Data cleaning, basic report generation, tool proficiency (Meltwater, GA4), understanding of comms metrics, attention to detail.
You're ready to move on when
- Consistently delivers accurate and timely reports with minimal supervision.
- Can clearly articulate basic data findings and answer routine questions.
- Shows initiative in learning new features within existing tools.
- Proactively identifies minor data quality issues.
2
Marketing Analyst / Digital Analyst (Entry-Level)
2-3 years
Skills to master
- Web analytics (GA4), campaign tracking (UTMs), basic SQL, understanding of digital marketing funnels, data visualisation basics.
You're ready to move on when
- Proficient in web analytics platforms and can track campaign performance.
- Understands how different marketing channels contribute to overall goals.
- Can perform basic data extraction and manipulation using SQL or Excel.
- Shows a keen interest in applying analytical skills to communications challenges.
3
Data Entry / Research Assistant (with analytical bent)
3-4 years
Skills to master
- Advanced Excel, data organisation, attention to detail, basic statistical understanding, strong research skills, eagerness to learn analytics tools.
You're ready to move on when
- Demonstrates exceptional accuracy and efficiency in handling large datasets.
- Has taken initiative to automate parts of their previous roles using Excel or similar tools.
- Can present complex information clearly and concisely.
- Expresses a strong desire to transition into a dedicated analytical role.

16How people get here · where they go next

Came from

Junior Data Analyst (Marketing/Comms)

2-3 years

You mastered the art of delivering accurate reports and building dashboards that communicate complex data simply.

You are here

Communications Analyst

Mid-Level (2-5 years)

Goes to

Senior Communications Analyst

3-5 years

This role involves leading complex measurement projects and providing strategic insights that influence PR campaigns.

The long view: This work can lead into roles such as Lead, Communications Analytics & Insights, or Manager, Communications Measurement & Strategy, taking on more strategy and oversight.

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 Communications Analyst is actually changing.

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Data Analytics Primer, worked against Communications Analyst.

Data Analytics Primer Level 4

Applied to your work in Communications Analyst

This unit aims to equip learners with a foundational understanding of data analytics, including its applications and the stages of the data analysis lifecycle. Learners will explore various data types and structures, understand the role of data within an organisation, and recognise the importance of GDPR and compliance requirements in data handling.

The Explorer Last time, we looked at how you could use an LLM to draft a summary of media mentions. What did you find?

You It was helpful, but it missed some context that was important.

The Explorer Let's try incorporating a prompt chaining technique to guide the LLM with more specific cues. Use one of your current projects as a test.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
6 Create

An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

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

A year from now

A year from now, you confidently lead data-driven discussions, using your enhanced skills to shape PR strategies with authority.

See Your Progress Grow Illustration

Communications Analyst

Integrated Measurement Frameworks (e.g., AMEC IEF)
Attribution & Correlation Analysis (Basic)
Advanced Sentiment & Narrative Analysis
Share of Voice (SOV) & Competitor Intelligence
Audience Psychographics & Segmentation (Basic)
Survey Design & Analysis (Basic)

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.

17The 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

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

Senior Communications Analyst
3-5 years in current role

Level 3 (Senior)
- Designing new measurement frameworks and report structures.
- Leading end-to-end measurement projects for major campaigns.
- More advanced SQL (JOINs, window functions) and potentially introductory Python for automation.
- Making data-driven recommendations that directly influence comms strategy.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of a Communications Analyst's day can be spent on repetitive tasks. Imagine getting that time back to focus on the truly interesting stuff – finding those 'aha!' insights. That's where AI comes in. We're not talking about replacing you; we're talking about giving you a superpower.

At Zavmo, we're actively exploring and integrating AI tools to make our teams more efficient and effective. For a Communications Analyst, this means using smart tech to handle the grunt work, freeing you up for deeper analysis and strategic thinking. Here's a glimpse of how AI could change your day-to-day:

Automated Report Population

Use AI scripts (think Python or Zapier) to automatically pull data from Meltwater, GA4, and internal database APIs each week. The AI then populates a pre-designed PowerPoint or Google Slides template with the latest charts and KPIs. No more manual copy-pasting for hours on end!

AI-Powered Narrative Theme Detection

Feed thousands of media articles and social posts into a Large Language Model (LLM) to identify and cluster emerging narrative themes, key message adoption, and nuanced sentiment (e.g., 'cautiously optimistic'). This moves beyond simple keyword counting to true topic modelling, giving you deeper insights much faster.

Proactive Competitor Briefing Agent

Set up an AI agent to scan competitor press releases, earnings call transcripts, and top-tier media coverage daily. The agent provides a concise, 250-word summarised brief in Slack each morning, highlighting key messaging shifts, product launches, and potential vulnerabilities. You'll be ahead of the curve, always.

'So What?' First Draft Generator

After completing your analysis, feed the key data points, charts, and target audience (e.g., 'CMO') into a custom GPT. Prompt it to 'act as a strategic communications analyst and write the executive summary, focusing on the three most important takeaways and one strategic recommendation.' This gives you a strong first draft to refine, saving you ages staring at a blank page.

Common questions

How do you become a Communications Analyst?

Common routes in include Junior Communications Analyst / Associate (1-2 years), Marketing Analyst / Digital Analyst (Entry-Level) (2-3 years) and Data Entry / Research Assistant (with analytical bent) (3-4 years). Times vary with prior experience.

Where can a Communications Analyst progress to?

This role can lead on to Senior Communications Analyst (3-5 years in current role), depending on the skills you build.

What new skills matter most for a Communications Analyst?

Increasingly, Prompt Engineering for Comms AI. These are the skills our record of this role lists as growing.

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

Communications Analyst

Where should we send it?

Two short quizzes about you

Will AI change your work as a Communications Analyst?

What's rising in its place

Prompt Engineering for Comms AI

Skills this role draws on

Technical

How you actually get there, here

Junior Communications Analyst / Associate

Marketing Analyst / Digital Analyst (Entry-Level)

Data Entry / Research Assistant (with analytical bent)

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

Roles this leads to

One to one, on the work you already do

A year from now, you confidently lead data-driven discussions, using your enhanced skills to shape PR strategies with authority.

Everything else the record holds

The career path, and where it branches

Senior Communications Analyst

Where AI is starting to help

Automated Report Population

AI-Powered Narrative Theme Detection

Proactive Competitor Briefing Agent

'So What?' First Draft Generator

Common questions

Want a read on where you stand?