UK

United Kingdom · Finance · Entry Level (0-2 years)

Insurance Analyst

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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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 bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toRisk & Insurance Specialist
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Insurance Specialist · Risk Administrator · Claims Support Assistant

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

City & Guilds Level 2 Certificate In Providing Financial Services City & Guilds Limited · Level 2 · covers 6 of 10 standards
City & Guilds Level 3 Certificate In Providing Financial Services City & Guilds Limited · Level 3 · covers 5 of 10 standards
City & Guilds Level 2 Diploma in Business Administration City & Guilds Limited · Level 2 · covers 1 of 10 standards
Highfield Level 2 Diploma in Business Administration (RQF) Highfield Qualifications · Level 2 · covers 1 of 10 standards
City & Guilds Level 3 Award in Providing Financial Services City & Guilds Limited · Level 3 · covers 2 of 10 standards
Highfield Level 3 Certificate in Providing Financial Services (RQF) Highfield Qualifications · Level 3 · covers 2 of 10 standards

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

The units you would start with

Collating, preparing and monitoring information and data from a variety of sources City & Guilds Level 2 Certificate In Providing Financial Services
Collating and analysing statistical insurance data City & Guilds Level 3 Certificate In Providing Financial Services
Collate and report data City & Guilds Level 2 Diploma in Business Administration
Processing complex insurance business as an intermediary City & Guilds Level 3 Award in Providing Financial Services
Underwriting complex new risks Highfield Level 3 Certificate in Providing Financial Services (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
Your Plan Illustration

Built for Insurance Analyst

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

  1. Collating, preparing and monitoring information and data from a variety of sources City & Guilds Limited · covers 6 of 10 standards Level 2
  2. Collating and analysing statistical insurance data City & Guilds Limited · covers 5 of 10 standards Level 3
  3. Collate and report data City & Guilds Limited · covers 1 of 10 standards Level 2
  4. Processing complex insurance business as an intermediary City & Guilds Limited · covers 2 of 10 standards Level 3
  5. Underwriting complex new risks Highfield Qualifications · covers 2 of 10 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 an Insurance Analyst?

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

  • Basic Prompt Engineering for LLMs
  • Data Literacy & AI Output Interpretation
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 Insurance 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.

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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

An insurance analyst checks policies, tracks claims and keeps insurance records accurate and up to date. The work supports decisions made by senior staff about how risk is covered.

4What you'd actually use

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

Microsoft Excel Intermediate

You'll be using Excel daily for data entry, cleaning up exposure data, simple sorting and filtering, and basic calculations. Knowing your way around formulas like SUM, AVERAGE, and VLOOKUP will be a huge help.

Microsoft Outlook Intermediate

Managing your inbox, sending clear emails to internal and external contacts, scheduling meetings, and keeping track of tasks. It's your primary communication hub.

GRC Platform (e.g., ServiceNow GRC, LogicGate) Basic

Logging incidents, tracking items in the risk register, and pulling standard reports as instructed. You'll be a user, not a configurator, at this stage.

Policy & Claims Management System (e.g., Guidewire, Duck Creek) Intermediate

Looking up policy details, entering First Notice of Loss (FNOL) information, and tracking the status of routine claims. You'll be navigating the system to find and input information.

Analytics & Visualization (e.g., Power BI, Tableau) Basic

Using pre-built dashboards to answer specific questions, like 'How many open claims do we have?' or 'What's our current COI issuance volume?' You'll be a consumer of the data, not a builder of the dashboards.

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
Issuing Certificates of Insurance (COIs) Execute issuance based on standard templates and approved requests. Escalate any non-standard requests or complex wording requirements to manager. Independently issue standard and moderately complex COIs. Advise internal teams on common COI requirements. Escalate highly unusual requests. Define and approve COI templates and issuance procedures. Authorise non-standard COIs with significant risk implications. Train junior staff on COI best practices.
Exposure Data Submission Gather and input data into pre-defined templates. Flag any inconsistencies or missing information to manager for review. Consolidate and validate exposure data from multiple sources. Propose improvements to data gathering processes. Escalate significant data discrepancies. Review and finalise all exposure data submissions. Challenge data quality from business units. Make recommendations on data capture systems.
Claim Reporting Log initial incident details and report First Notice of Loss (FNOL) to TPA/insurer following established protocols. Escalate any complex or high-severity incidents immediately. Manage the reporting process for routine claims. Act as a liaison between internal teams and TPAs for information exchange. Advise on initial claim strategy for minor incidents. Oversee the entire claim reporting and initial adjudication process. Set guidelines for claim reporting. Intervene in complex claims to ensure proper handling.
Invoice Processing Match invoices against quotes/binders and flag discrepancies to manager. Submit approved invoices for payment. Verify and approve routine insurance invoices. Reconcile premium adjustments. Challenge minor discrepancies with brokers. Approve all insurance invoices. Negotiate payment terms with brokers/carriers. Oversee budget adherence for premium payments.

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.

Certificate of Insurance (COI) Issuance SLA
How quickly you get those proof-of-insurance documents out the door when a business unit asks for them.
Target · >98% of COIs issued within 24 hours of a valid request

If we get 50 COI requests in a month, you should have 49 of them sent out within one working day. The odd one might be tricky, but that's the goal.

Exposure Data Accuracy
The cleanliness and correctness of the data you gather and input for our insurance renewals (e.g., property values, vehicle lists, headcount).
Target · <1% error rate in exposure data submissions to brokers

If you're compiling a spreadsheet of 1,000 vehicle details, we'd expect fewer than 10 errors. We'll spot-check this, especially for high-value items.

Claim Reporting Lag Time
The average time it takes from an incident happening to us reporting it to the insurer or Third-Party Administrator.
Target · Average time from incident to First Notice of Loss (FNOL) < 48 hours

If someone has a minor accident on Monday morning, we want that reported to the TPA by Wednesday morning at the latest. Quicker is always better.

Risk Register Update Timeliness
How promptly you update our internal risk register with new information or changes to existing risks, as instructed by the senior team.
Target · 95% of requested updates completed within 2 working days

If your manager asks you to add a new risk to the register on Monday, it should be in there by Wednesday afternoon. No faffing about.

Adherence to Procedures
Following our established processes and checklists for tasks like data entry, document filing, and COI issuance. It's about doing things the right way, every time.
  • Your manager rarely needs to correct your process steps. Files are always where they should be. You'll be able to explain why you did something a certain way, based on our guidelines.
Proactive Learning & Questioning
Asking thoughtful questions to understand the 'why' behind tasks, rather than just blindly following instructions. Showing you're keen to learn the insurance business.
  • You'll come to your manager with questions like 'Why do we need this specific data point for D&O?' or 'What does 'subrogation' actually mean in practice?' You're not afraid to admit you don't know something and want to learn.
Reliability & Follow-Through
Consistently delivering on your commitments and communicating clearly if you hit a snag or need more time. We need to be able to count on you.
  • You'll hit deadlines (or flag well in advance if you can't). Your manager won't have to chase you for updates. When you say you'll do something, you do it.
Support Quality for Internal Teams
How helpful and professional you are when interacting with internal business units who need your assistance (e.g., with COIs or basic queries).
  • You'll get positive feedback from internal colleagues. You explain things clearly and politely, even if it's the fifth time someone has asked for the same basic information. You're seen as approachable and helpful.

7Would you like it

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

What people enjoy
Learning & Development

You'll be constantly exposed to new concepts, jargon, and processes. Every task is a chance to learn more about how a business manages its risks and protects its assets.

You'll be asking your manager about the difference between 'admitted' and 'non-admitted' paper, or why we use a 'fronting arrangement' for our captive. You'll genuinely want to understand the mechanics.

Contributing to a Critical Function

Your work directly supports the financial stability and operational continuity of the company. You're not just doing busy work; you're helping to protect the business.

When a major claim comes in, your quick reporting helps ensure it's handled properly. When you meticulously gather data for a renewal, you're directly helping secure our future coverage. It's a real contribution.

Structured Problem Solving

Many tasks involve following established procedures to solve specific, often data-related, problems. It's about finding the right information and putting it in the right place.

You'll be tasked with reconciling conflicting data sets from two different business units for a renewal submission. It's like a puzzle, and there's a clear (though sometimes tricky) solution to find.

What frustrates people
  • Chasing business units for data that's always late, incomplete, or in the wrong format.
  • Dealing with internal requests for 'urgent' COIs that turn out not to be urgent at all.
  • Trying to understand complex insurance jargon when you're just starting out.
  • The sheer volume of administrative tasks, especially during busy periods like renewal season.
  • Feeling like you're just a data entry clerk sometimes, even though you know it's important.
What this role does not give you
  • Immediate strategic decision-making authority.
  • A quiet, predictable workload (especially during renewals).
  • Direct negotiation with insurance carriers or brokers (at this level).
  • A role where you don't have to chase people for information.

8Who you work with

This role is foundational. Your accurate data entry and timely processing directly support the entire insurance programme. Get it right, and the Finance team can make informed decisions, keeping our insurance costs down and ensuring we're properly covered. Get it wrong, and it can lead to delays, errors in renewals, and ultimately, financial exposure for the company. You're essentially the first line of defence in data quality for our risk function.

Inside the business
  • Risk & Insurance Specialist (your direct manager)
  • Senior Risk & Insurance Analyst
  • Finance Operations team
  • Various business unit contacts (e.g., HR, Fleet, Property Managers)
Outside the business
  • Insurance brokers (for data requests)
  • Third-Party Administrators (TPAs) (for claims reporting)

9What you need before you start

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

  • Strong numerical aptitude and comfort working with data in spreadsheets.
  • Excellent attention to detail – seriously, this is non-negotiable.
  • A methodical and organised approach to tasks, even when things get busy.
  • The ability to communicate clearly and professionally, both in writing and verbally.
  • A genuine eagerness to learn about the insurance industry and risk management.
  • Proficiency with Microsoft Office Suite, especially Excel and Outlook.

10What to practise next

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

Basic Robotic Process Automation (RPA) Scripting (Conceptual)

Many repetitive tasks, like gathering data from multiple systems or inputting standard information, can be automated. Understanding the basics of how RPA works will help you identify opportunities for automation, even if you're not building the robots yourself.

Process Mapping · Rule-Based Automation · Identifying Automation Opportunities · Working with Bots

  • This week: Identify one repetitive task you do daily or weekly. Write down every single step.
  • This month: Research 'what is RPA?' online and watch some introductory videos. Think about how it could apply to your identified task.
  • Month 2: Discuss your identified task with your manager and ask if there are any existing automation efforts you could learn about.
  • Month 3: Propose a small, simple task that you think could be automated, even if it's just a tiny part of your workflow.

Quick win: Keep a mental note of any task you do more than five times a week that feels like 'copy-paste' work. That's a potential automation target.

11Staying current once you are in

What people here do to keep up
  • Enrolling in the CII Foundation Certificate in Insurance (we'll cover the costs and give you study leave).
  • Attending internal training sessions on our specific insurance programmes and systems.
  • Shadowing senior team members during broker calls or claims reviews to see how things work in practice.
  • Reading industry publications and news to stay up-to-date on market trends and emerging risks.
  • Taking online courses in advanced Excel or data visualisation basics to boost your technical 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.

Basic Prompt Engineering for LLMs

Large Language Models (LLMs) like ChatGPT or Claude are already changing how we process information. Analysts who can 'talk' to these AIs effectively will be able to summarise documents, draft communications, and even identify key clauses much faster than those who don't.

  • Clear Instruction Giving
  • Context Provision
  • Output Validation
  • Use Cases for Summarisation

Data Literacy & AI Output Interpretation

As more of our data analysis and reporting becomes AI-assisted, your job will shift from just inputting data to understanding what the AI is telling you, spotting anomalies, and knowing when to question its conclusions. It's about being a critical thinker, even when the machine does the initial grunt work.

  • Statistical Basics Refresher
  • Bias in AI
  • Correlation vs. Causation
  • Data Visualisation Interpretation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Total Cost of Risk (TCOR) Analysis (Basic Understanding)
  • Enterprise Risk Management (ERM) Frameworks (Awareness)
  • Contractual Risk Transfer (Basic Identification)
  • Claims Adjudication & Litigation Strategy (Basic Reporting)

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

    Recent Graduate (Finance/Business/Economics)

    0-1 year in role

    Skills to master

    • Data accuracy, understanding of insurance terminology, efficient use of internal systems, clear communication with internal stakeholders.

    You're ready to move on when

    • Consistently delivers accurate data and COIs on time.
    • Asks insightful questions about insurance concepts.
    • Can independently manage routine administrative tasks.
    • Demonstrates a strong desire to take on more responsibility.
  2. 2

    Office Administrator / Finance Assistant

    1-2 years in role

    Skills to master

    • Adaptability to insurance-specific processes, managing multiple priorities, effective stakeholder communication for data gathering, basic risk identification.

    You're ready to move on when

    • Successfully adapts existing organisational skills to insurance workflows.
    • Proactively identifies opportunities for process improvement (even small ones).
    • Builds good working relationships with internal business units.
    • Shows a keen interest in the financial impact of insurance decisions.
  3. 3

    Claims Support Assistant (from an insurer/broker)

    0-1 year in role

    Skills to master

    • Understanding corporate insurance programmes (vs. retail), internal stakeholder management, exposure data gathering, broader risk management concepts.

    You're ready to move on when

    • Quickly grasps the difference between insurer/broker-side and corporate-side insurance.
    • Applies existing claims knowledge to our internal processes effectively.
    • Demonstrates initiative in learning about non-claims related insurance activities.
    • Is seen as a reliable and knowledgeable resource for claims-related queries.

15Where this role leads

The long view: This work can lead to senior risk and insurance roles, insurance management, or a director-level position overseeing risk strategy.

16Pay and demand

Pay & demand

Typical pay £50,330 a year Source: ONS Annual Survey of Hours and Earnings, 2025 (provisional), under the Open Government Licence v3.0

The figure is the median for full-time employees in the ONS occupation this job title codes to (Finance and investment analysts and advisers), from the April 2025 survey, about six months old when published, as ASHE always is. It is that occupation's middle, not this role's. Half earn more.

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 Insurance Analyst is actually changing.

Where it leads

Roles this leads to

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 Collating, preparing and monitoring information and data from a variety of sources, worked against Insurance Analyst.

Collating, preparing and monitoring information and data from a variety of sources Level 2

Applied to your work in Insurance Analyst

The objective of this unit is to equip learners with the skills to accurately maintain, prepare, and monitor information and data from various sources, ensuring data integrity, security, and accessibility. Learners will also develop the ability to manage data workflows efficiently, maintain complete records, and comply with relevant policies and procedures within their authority limits.

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
Insurance Analyst
  • Total Cost of Risk (TCOR) Analysis (Basic Understanding)
  • Enterprise Risk Management (ERM) Frameworks (Awareness)
  • Contractual Risk Transfer (Basic Identification)
  • Claims Adjudication & Litigation Strategy (Basic Reporting)
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

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

  1. Risk & Insurance Specialist (Level 2)

    2-3 years after joining as an Analyst

    You'll move from executing tasks to owning specific processes or smaller lines of coverage. You'll manage routine claims end-to-end and handle a full renewal cycle with less supervision.

    • First-Party Claims Management Owning the full lifecycle of a specific type of claim (e.g., property damage, auto fleet).
    • Broker Relationship Management (Support) Acting as a key point of contact for routine broker queries.
    • Basic Policy Interpretation Being able to read and understand the key terms of a standard insurance policy.
    • Financial Modelling (Basic) Using Excel to model the financial impact of different deductible options.
Working with AI on the job

Working with AI

Where AI is starting to help

Honestly, a lot of the initial grunt work in insurance can be a bit repetitive. But what if you could offload some of that to a smart assistant? We're not talking about replacing you; we're talking about giving you superpowers. Imagine spending less time on tedious data checks and more time actually learning the business.

Here at Zavmo, we're really keen on using AI to make your job less about the boring bits and more about the interesting stuff. For an Insurance Analyst, that means using clever tools to help with things like sifting through documents, spotting patterns in claims data, and even drafting initial communications. It's about making you more efficient, not redundant.

AI Contract Clause Checker

Use AI to quickly scan vendor contracts or client agreements. It'll flag specific clauses like indemnification, insurance requirements, or limitations of liability, highlighting anything that doesn't match our standard corporate guidelines. You'll still review it, but the AI does the heavy lifting of finding the needles in the haystack.

Smart Claims Data Summariser

When a new claim comes in, you can feed the initial incident report and any related documents into an AI. It'll then give you a concise summary of the key facts, involved parties, and potential next steps, helping you log the FNOL much faster and more accurately. It's like having a super-fast reader on your team.

Automated Market News Digest

Instead of sifting through dozens of industry newsletters, an AI can monitor global news, regulatory updates, and insurance market reports. It'll then summarise the most relevant bits into a weekly digest for you, highlighting emerging risks or market trends that your senior team needs to know about. You'll be well-informed without the reading marathon.

COI Request Drafter

For routine Certificate of Insurance requests, an AI can draft the initial email or even populate the COI template based on a few key inputs. You'll just need to review and hit send. This seriously cuts down on the repetitive typing and ensures consistency in our communications.

Common questions

Common questions

How do you become an Insurance Analyst?

Common routes in include Recent Graduate (Finance/Business/Economics) (0-1 year in role), Office Administrator / Finance Assistant (1-2 years in role) and Claims Support Assistant (from an insurer/broker) (0-1 year in role). Times vary with prior experience.

Where can an Insurance Analyst progress to?

This role can lead on to Risk & Insurance Specialist (2-3 years after joining as an Analyst), depending on the skills you build.

What new skills matter most for an Insurance Analyst?

Increasingly, Basic Prompt Engineering for LLMs and Data Literacy & AI Output Interpretation. 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

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18Where to go from here

Other roles at Level 2

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

 More jobs in finance

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

The skills involved apply across finance and insurance. They can lead to broader risk management, corporate finance, or work with an insurance broker or carrier.

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 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.