UK

United Kingdom · Corporate strategy · Mid-Level (2-5 years)

Competitive Analysis Assistant

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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Free to start: a plan built for this role, and a Future Fluency module to try first. No card.

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Where should we send it?

One email: what AI is changing in this job, 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 Competitive Analysis Assistant
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Competitive Intelligence Analyst · Market Intelligence Analyst · Strategy Analyst (Competitive Focus)

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

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 3 of 5 standards
BCS Level 4 Diploma - Digital Modular Programme for Data Analysts BCS, The Chartered Institute for IT · Level 4 · covers 2 of 5 standards
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 2 of 5 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 2 of 5 standards
OCNLR Level 4 Certificate in Digital Marketing OCN London · Level 4 · covers 1 of 5 standards
OCNLR Level 4 Diploma in Digital Marketing OCN London · Level 4 · covers 1 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 Primer NOCN Level 4 certificate for Data Analysts
Data Analysis BCS Level 4 Diploma - Digital Modular Programme for Data Analysts
Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England
Digital Analytics OCNLR Level 4 Certificate in Digital Marketing

The future skills this job leans on

Data Fluency turning numbers into a decision
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Your Plan Illustration

Built for Competitive Analysis Assistant

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

  1. Data Analytics Primer NOCN · covers 3 of 5 standards Level 4
  2. Data Analysis BCS, The Chartered Institute for IT · covers 2 of 5 standards Level 4
  3. Data Analytics Pearson Education Ltd · covers 2 of 5 standards Level 4
  4. Digital Analytics OCN London · covers 1 of 5 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 Competitive Analysis Assistant?

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

  • Structured Strategic Storytelling
  • Basic Financial Statement Analysis
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 Competitive Analysis Assistant plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

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

Start my Competitive Analysis Assistant plan, free Ready to pay? Subscribe for £70 a month

3What this role really is

This job involves researching competitors, looking at their products, marketing and finances to see how a business compares. You dig into the detail and connect the dots to build a clearer picture of the market.

4What you'd actually use

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

AlphaSense / Tegus (Intelligence Platforms) Intermediate

Pulling specific reports, setting up alerts for competitor news, and finding relevant data points or expert transcripts for your analysis.

Similarweb / SEMrush (Web & SEO Analytics) Intermediate

Pulling standard reports on competitor web traffic, keywords, and ad spend to understand their digital footprint and strategy.

Advanced Excel Advanced

Mastering VLOOKUP/XLOOKUP, PivotTables, and Power Query for cleaning, structuring, and analysing data sets. You'll be building models and manipulating data here constantly.

Tableau / Power BI (Data Visualisation) Intermediate

Connecting to clean data sources to create basic charts, graphs, and tables for your reports and presentations, making data easier to understand.

Salesforce / HubSpot (Internal Data Sources) Basic

Viewing dashboards and pulling basic reports to understand high-level win/loss reasons and sales pipeline dynamics. You won't be writing complex queries yet, but you'll know your way around.

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
Data Source Selection Follows pre-defined list of approved sources; asks supervisor for new sources. Independently selects appropriate public and subscription data sources (e.g., AlphaSense, Similarweb) for routine competitor analysis; consults Senior Analyst on novel or expensive sources. Defines and recommends new data sources and intelligence platforms; makes decisions on data collection methodology for complex projects.
Report Content & Structure Uses existing templates; content reviewed by supervisor. Designs content and structure for routine competitive reports (e.g., weekly updates, battlecards); seeks feedback from Senior Analyst and stakeholders before finalising. Designs new report formats and dashboards for specific strategic questions; owns the narrative and recommendations for key stakeholders.
Prioritisation of Ad-hoc Requests Supervisor dictates priority for all requests. Prioritises own workload for routine requests based on agreed SLAs; escalates conflicting 'urgent' requests to Senior Analyst for resolution. Manages and prioritises all incoming requests for their workstreams; pushes back on low-value requests with data-backed reasoning.
Win/Loss Interview Scope Conducts interviews using a script provided by supervisor. Develops interview questions for sales reps based on current competitive gaps; seeks approval from Senior Analyst for customer interviews. Designs the entire win/loss interview programme, including target segments and question frameworks; trains others on interview techniques.

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.

Data Accuracy
The percentage of competitive data points (e.g., pricing, feature lists, market share figures) that are verified correct against primary sources.
Target · <5% error rate

If a battlecard lists Competitor A's pricing as £100, and an audit finds it's actually £120, that's an error. We want very few of those.

Report Timeliness
Percentage of routine competitive reports (e.g., weekly intel updates, monthly competitor deep-dives) delivered on or before their agreed deadline.
Target · 90% on-time delivery

If the weekly intel brief is due Friday 17:00, it needs to be in inboxes by then. Missing it means our teams are behind.

Battlecard Utilisation
The number of times battlecards you've created or updated are accessed by the sales team.
Target · Average 50+ views per battlecard per month

If your battlecard for 'Competitor Z' gets 70 views in a month, that shows it's being used and is helpful to the sales team.

Win/Loss Data Contribution
The number of raw win/loss interview summaries you've processed and categorised accurately.
Target · Process 15-20 win/loss interviews monthly

You'll take the notes from a sales call, pull out the key competitive reasons for a win or loss, and log them correctly in our system.

Insight Clarity & Actionability
How easy it is for a stakeholder to understand your findings and what they should do with them. It's about 'so what?'
  • Stakeholders (e.g., Sales Enablement, Product Marketing) confirm they understand your reports and can immediately apply the insights. You'll know you're doing well if they don't have to ask for clarification, and they actually change their approach based on your work.
Proactive Information Sharing
Not just reacting to requests, but spotting trends or competitor moves and bringing them to the team's attention before being asked.
  • You're regularly flagging new competitor product launches, marketing campaigns, or strategic shifts to the Senior Analyst or relevant teams. They'll say things like, 'Glad you caught that, I hadn't seen it!'
Stakeholder Feedback
How satisfied our internal 'customers' (Sales, Product, Marketing) are with the support and insights you provide.
  • Positive comments in team meetings or direct emails from stakeholders. They'll actively seek your input on their projects, which is a good sign you're building trust and providing value.
Research Rigour
The depth and breadth of your research, ensuring you're not just taking information at face value but verifying it across multiple sources.
  • Your reports consistently cite multiple sources (e.g., competitor website, news articles, financial filings, expert network summaries). You'll be able to explain how you know something, not just what you know.

7Would you like it

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

What people enjoy
Solving Puzzles

You'll spend a good chunk of your day piecing together fragments of information – a job posting here, an earnings call transcript there, a subtle product change. It's like being a detective, constantly trying to solve the mystery of 'what's next for our competitors?'

Finding a connection between a competitor's recent acquisition, their hiring patterns, and a shift in their marketing messaging to predict a new market entry six months before it happens.

Direct Impact on Strategy

Your analysis won't just sit in a folder. You'll see your insights directly influence sales pitches, product roadmap discussions, and marketing campaigns. It's pretty satisfying to know your work is genuinely shaping the company's direction.

Your research on a competitor's pricing strategy leads to an adjustment in our own pricing, which then results in a measurable increase in win rates.

Continuous Learning

The competitive landscape is always changing, which means you'll constantly be learning about new technologies, market trends, and business models. If you love staying on top of what's happening in the industry, you'll thrive here.

Researching a brand-new competitor who just raised a huge funding round, understanding their tech, and figuring out their potential threat to our business.

What frustrates people
  • The 'CEO read an article' fire drill that completely derails your carefully planned week.
  • Trying to get solid data on private competitors – it's like looking into a black hole sometimes.
  • Sifting through biased or incomplete Salesforce notes for win/loss analysis, where every loss is 'price'.
  • The 'so what?' problem: presenting great data and still having to fight to explain its relevance.
  • Having to tell a product team that a competitor's feature is genuinely better than ours.
What this role does not give you
  • A predictable, unchanging daily routine – expect curveballs.
  • Immediate, tangible ROI on every single piece of analysis you do.
  • A role where you're always the bearer of good news or universally popular for your findings.

8Who you work with

You'll directly influence how our sales team approaches deals and how our product team thinks about future features. Your work helps us avoid nasty surprises from competitors, giving us a real edge in the market. Get it right, and you're helping us win. Get it wrong, and we could be making expensive mistakes.

Inside the business
  • Product Management (especially Product Marketing)
  • Sales Enablement & Sales Leadership
  • Marketing Team
  • Corporate Strategy Team (your direct team)
Outside the business
  • Industry analysts (occasionally)
  • Expert network consultants (via senior team members)

9What you need before you start

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

  • At least 2 years of experience in an analytical role, ideally within a business, market research, or finance setting, where you regularly dealt with data and drew conclusions.
  • Proven ability to use Advanced Excel for data manipulation, analysis, and basic modelling. We'll expect you to be comfortable with complex formulas and pivot tables.
  • Experience with at least one competitive intelligence platform (e.g., AlphaSense, Crayon) or web analytics tool (e.g., Similarweb, SEMrush) in a previous role, even if it was just pulling standard reports.
  • A track record of clear, concise written communication, especially in summarising complex information for non-technical audiences.
  • A degree in Business, Economics, Marketing, or a related analytical field, or equivalent practical experience that demonstrates strong analytical capabilities.

10What to practise next

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

Basic Python for Data Scraping & Automation

Manual data collection is slow and prone to errors. Learning basic Python (with libraries like pandas and BeautifulSoup) will let you automate web scraping, clean messy data much faster than Excel, and integrate different data sources seamlessly. It's a huge productivity booster.

Python Basics (variables, loops, functions) · Pandas Library · BeautifulSoup Library · API Interactions

  • This week: Start a free online Python course (e.g., Codecademy, DataCamp) focusing on data science basics.
  • This month: Try to automate a small, repetitive data collection task you currently do manually using Python.
  • Next quarter: Work with your Senior Analyst to identify a more complex scraping or data cleaning project where you can apply your Python skills.
  • Ongoing: Join relevant online communities (e.g., Stack Overflow, Reddit's r/datascience) to learn from others and troubleshoot problems.

Quick win: Write a small Python script to pull a list of job titles from a competitor's careers page. It's a simple start but shows immediate value.

Advanced Data Visualisation & Dashboarding

While you can build basic charts now, the expectation will be to create interactive, executive-ready dashboards that tell a complete story at a glance. This means moving beyond simple charts to more sophisticated visualisations and dashboard design principles.

Dashboard Design Principles · Calculated Fields & Parameters · Data Blending & Joins · Storytelling with Dashboards

  • This month: Take an online course specifically on advanced Tableau or Power BI dashboard design.
  • Next quarter: Re-design one of our existing static reports into an interactive dashboard, even if it's just for internal team use.
  • Month 3-6: Seek feedback from a senior leader on one of your dashboards – what worked, what didn't, what could be clearer?
  • Ongoing: Explore online galleries of great dashboards (e.g., Tableau Public) for inspiration and best practices.

Quick win: Add one interactive filter or parameter to an existing report you've built. It’s a small step that adds immediate value.

11Staying current once you are in

What people here do to keep up
  • Attending industry conferences (e.g., SaaS events, competitive intelligence forums) to network and stay current on trends.
  • Participating in webinars and online courses related to advanced Excel, data visualisation, or strategic analysis.
  • Reading key business and strategy books (e.g., 'Good Strategy/Bad Strategy', 'Playing to Win') to deepen your strategic thinking.
  • Joining relevant professional communities or online forums to share insights and learn from peers.

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.

Structured Strategic Storytelling

Our executives are drowning in information. Your ability to cut through the noise and present a clear, compelling, and actionable strategic narrative is becoming more critical than ever. It's not enough to have great data; you need to tell a great story with it.

  • MECE (Mutually Exclusive, Collectively Exhaustive)
  • Pyramid Principle
  • Audience-Specific Framing
  • Visual Communication Best Practices

Basic Financial Statement Analysis

As you progress, understanding a competitor's financial health and strategic investments becomes crucial. You won't be an accountant, but being able to read a balance sheet or income statement and spot key trends will give you a huge advantage.

  • Income Statement (P&L)
  • Balance Sheet
  • Cash Flow Statement
  • Key Financial Ratios

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Win/Loss Analysis
  • Market Sizing (TAM/SAM/SOM)
  • SWOT Analysis (Evidence-Based)
  • Primary & Secondary Research Integration
  • Porter's Five Forces Awareness

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

    Junior Business Analyst / Data Analyst

    2-3 years

    Skills to master

    • Data cleaning and manipulation in Excel, basic reporting, understanding business metrics, stakeholder communication, attention to detail.

    You're ready to move on when

    • Consistently delivers accurate and insightful reports.
    • Proactively identifies data quality issues and proposes solutions.
    • Can clearly explain complex data findings to non-technical colleagues.
    • Has taken initiative to learn new analytical tools or techniques.
  2. 2

    Market Research Assistant

    2-4 years

    Skills to master

    • Primary and secondary research methodologies, survey design, data synthesis, report writing, understanding market dynamics.

    You're ready to move on when

    • Can independently execute research projects from start to finish.
    • Demonstrates critical thinking in evaluating research sources and findings.
    • Produces well-structured and evidence-based research reports.
    • Has experience presenting research findings to internal clients.
  3. 3

    Sales Operations Analyst

    3-5 years

    Skills to master

    • CRM data analysis (e.g., Salesforce), sales pipeline reporting, understanding sales processes, identifying sales blockers, competitive positioning.

    You're ready to move on when

    • Deep understanding of sales performance metrics and drivers.
    • Can extract and analyse data from CRM systems effectively.
    • Has experience creating sales enablement materials or battlecards.
    • Frequently collaborates with sales leadership to improve processes.

15Where this role leads

The long view: This work can lead to managing a competitive intelligence function, or a director role shaping how a business reads its market.

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 Competitive Analysis Assistant is actually changing.

Where it leads

Roles this leads to

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

  • Product Marketing Manager (Competitive Focus)

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 Competitive Analysis Assistant.

Data Analytics Primer Level 4

Applied to your work in Competitive Analysis Assistant

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.

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.

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See Your Progress Grow Illustration
Competitive Analysis Assistant
  • Win/Loss Analysis
  • Market Sizing (TAM/SAM/SOM)
  • SWOT Analysis (Evidence-Based)
  • Primary & Secondary Research Integration
  • Porter's Five Forces Awareness
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

Competitive Analysis Assistant is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Competitive Analysis Assistant

    2-3 years

    Level 3 (Senior)

    • Lead Win/Loss Programme Designing and overseeing parts of the win/loss process.
    • Scenario Planning Contribution Helping to facilitate 'war gaming' sessions.
    • Basic SQL Writing queries to pull raw data for deeper analysis.
    • Advanced Dashboarding Building interactive, multi-source dashboards.

  2. Product Marketing Manager (Competitive Focus)

    3-4 years

    Lateral move, potentially Level 3 or 4 depending on scope

    • Competitive Messaging Development Translating competitive insights into sales collateral and marketing campaigns.
    • Product Launch Planning Contributing to the competitive aspects of new product launches.
    • Customer Persona Development Using competitive insights to refine customer understanding.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, a lot of competitive analysis involves repetitive tasks: sifting through news, summarising reports, and drafting initial battlecards. Imagine if you could cut down on that busywork, freeing you up for the really interesting, strategic thinking. Well, you can.

We're building an AI Productivity Hub specifically for our Corporate Strategy team. It's not about replacing you; it's about giving you superpowers. You'll use these tools to automate the tedious bits, so you can spend more time on deep analysis, connecting the dots, and actually shaping our strategy. Here's a glimpse of how AI will make your day-to-day work faster and smarter:

Automated Intel Aggregation

Use AI-powered monitoring tools to automatically scrape, translate, and categorise competitor website updates, patent filings, and key job postings. You'll get a prioritised daily intelligence briefing, cutting out hours of manual searching.

Earnings Call Thematic Analysis

Feed a competitor's 50-page earnings call transcript into an LLM and ask it to 'Summarise the top 5 strategic priorities, identify 3 key risks mentioned, and extract all commentary about R&D investment.' Get the insights in minutes, not hours.

First-Draft Battlecard Generation

Use a generative AI tool connected to our internal knowledge base to create a solid V1 draft of a sales battlecard. It'll include sections on 'Our Strengths,' 'Their Weaknesses,' and 'Landmine Questions to Ask,' giving you a huge head start.

Executive Summary Synthesiser

After you've done the deep dive and written your full report, paste the text into an LLM with the prompt: 'You are a VP of Strategy. Rewrite this as a 300-word executive summary for the CEO, focusing on the three most critical takeaways and our recommended actions.' Get a polished summary in seconds.

Common questions

Common questions

How do you become a Competitive Analysis Assistant?

Common routes in include Junior Business Analyst / Data Analyst (2-3 years), Market Research Assistant (2-4 years) and Sales Operations Analyst (3-5 years). Times vary with prior experience.

Where can a Competitive Analysis Assistant progress to?

This role can lead on to Senior Competitive Analysis Assistant (2-3 years) and Product Marketing Manager (Competitive Focus) (3-4 years), depending on the skills you build.

What new skills matter most for a Competitive Analysis Assistant?

Increasingly, Structured Strategic Storytelling and Basic Financial Statement Analysis. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

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

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

17Where to go from here

Other roles at Level 3

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

 More jobs in corporate strategy

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

The analytical and strategic skills built in this role transfer well. They can lead into corporate strategy, product management, market research leadership, or roles in venture capital or private equity, across technology or B2B sectors.

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 Competitive Analysis Assistant plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.