Insurance Analyst Job Description
Analyse insurance portfolios, uncover trends and help shape underwriting and risk decisions with clear, evidence-based insight.
What does a Insurance Analyst professional do?
An Insurance Analyst turns policy, claims and exposure data into actionable insight to support underwriting, pricing and portfolio-management decisions.
Insurance Analyst job description template
Use this employer-ready example as a starting point, then replace the placeholders and adjust the content so it accurately reflects your vacancy.
Insurance Analyst
About the role
We are looking for an Insurance Analyst to join our [team/department] in [Location]. You will analyse portfolio performance, prepare reports and dashboards, identify emerging risks and opportunities, and work with underwriting, claims and actuarial colleagues to support decision-making. Please insert salary, working pattern and any remote/hybrid arrangements for this role.
Key responsibilities
- Analyse policy, premium and claims data to measure portfolio performance and profitability by product, segment and channel.
- Create and maintain regular management reports and interactive dashboards for underwriting, claims and senior stakeholders.
- Investigate trends, loss drivers and outliers; present findings and recommended actions to technical and commercial teams.
- Support pricing reviews and modelling exercises with data preparation, scenario testing and sensitivity analysis.
- Work with underwriting and claims to develop risk-mitigation recommendations and to monitor the impact of changes.
- Run ad hoc market and competitor research to inform product strategy and regulatory preparedness.
- Ensure data quality by validating inputs, reconciling sources and documenting assumptions and methodologies.
Essential skills and experience
- Proven analytical experience in insurance, risk or financial services environments or equivalent transferable experience.
- Strong spreadsheet skills and experience preparing reports or dashboards (Excel proficiency expected).
- Ability to translate data into clear, concise insights and present to both technical and non-technical audiences.
- Good understanding of insurance concepts such as premiums, claims, exposure, loss ratio and basic reserving principles.
- Attention to detail, problem-solving mindset and ability to manage multiple tasks to deadline.
Desirable
- Experience with BI or data-visualisation tools (for example Power BI or Tableau).
- Familiarity with SQL or scripting for data extraction and manipulation.
- Previous exposure to underwriting, pricing or claims functions within insurance.
- Professional study or membership relevant to insurance or risk (for example CII modules) — useful but not mandatory.
- Experience working with large datasets and basic statistical techniques.
What we offer
- [Pension scheme]
- [Annual bonus or performance-related pay]
- [Generous annual leave entitlement]
- [Optional private medical insurance / health cash plan]
- [Flexible or hybrid working policy]
- [Paid professional development and training budget]
How to apply
Apply with your CV and any additional information requested. Make the interview process, closing date and any assessment stages clear where known.
Use this as a starting point rather than a final advert. The strongest version will reflect the real role, salary, location, systems, responsibilities, benefits and working arrangements.
What is an Insurance Analyst role?
An Insurance Analyst examines insurance data and performance metrics to support underwriting, pricing and portfolio-management decisions. The role combines data analysis, reporting and investigative work: analysing premiums and claims, identifying patterns and drivers of loss, and presenting recommendations to technical and commercial teams. Analysts often collaborate with underwriting, claims, actuarial and IT to improve processes and data quality.
What you’ll do day-to-day
Analyse portfolios, build dashboards, investigate claims trends and provide actionable recommendations to stakeholders.
Key stakeholders
Work closely with underwriting, claims, actuarial, finance and product teams to turn data into operational improvements.
Data & tools
Handle policy, claims and exposure datasets; expect to use spreadsheets and a BI tool, with occasional SQL or scripting for data prep.
Typical Insurance Analyst responsibilities
Responsibilities should reflect the real scope of the vacancy rather than every task someone in this profession might ever complete.
Analyse policy
Analyse policy, premium and claims data to measure portfolio performance and profitability by product, segment and channel.
Create
Create and maintain regular management reports and interactive dashboards for underwriting, claims and senior stakeholders.
Investigate trends
Investigate trends, loss drivers and outliers; present findings and recommended actions to technical and commercial teams.
Support pricing reviews
Support pricing reviews and modelling exercises with data preparation, scenario testing and sensitivity analysis.
Work with underwriting
Work with underwriting and claims to develop risk-mitigation recommendations and to monitor the impact of changes.
Run ad hoc market
Run ad hoc market and competitor research to inform product strategy and regulatory preparedness.
Ensure data quality by validating inputs
Ensure data quality by validating inputs, reconciling sources and documenting assumptions and methodologies.
Insurance Analyst skills and experience to look for
Keep the essential list focused on what the person really needs to perform the role. Move useful-but-trainable experience into desirable criteria.
Usually worth prioritising
- Proven analytical experience in insurance, risk or financial services environments or equivalent transferable experience.
- Strong spreadsheet skills and experience preparing reports or dashboards (Excel proficiency expected).
- Ability to translate data into clear, concise insights and present to both technical and non-technical audiences.
- Good understanding of insurance concepts such as premiums, claims, exposure, loss ratio and basic reserving principles.
- Attention to detail, problem-solving mindset and ability to manage multiple tasks to deadline.
Useful where relevant
- Experience with BI or data-visualisation tools (for example Power BI or Tableau).
- Familiarity with SQL or scripting for data extraction and manipulation.
- Previous exposure to underwriting, pricing or claims functions within insurance.
- Professional study or membership relevant to insurance or risk (for example CII modules) — useful but not mandatory.
- Experience working with large datasets and basic statistical techniques.
See our guide to what to include in a job advert before publishing.
How to write a Insurance Analyst job advert
Small role-specific details can make the advert much easier for suitable candidates to assess.
Lead with outcomes
Start the advert by describing the impact the analyst will have (e.g. improve loss ratios, optimise pricing) rather than only listing tasks.
Be specific about data access
Tell candidates what datasets and systems they will use and whether they will get direct data access or work through a data team.
Set realistic technical expectations
Distinguish essential skills (eg Excel, domain knowledge) from nice-to-have technical skills (eg SQL, Python, specific BI tools).
Make progression clear
Describe likely next steps — senior analyst, pricing, actuarial or underwriting — so experienced candidates can assess fit.
Insurance Analyst salary considerations
Salary for an Insurance Analyst depends on the employer, the role’s seniority and the local market. Rather than a single market figure, consider the factors below when setting a pay band.
depending on experience
- Use a genuine range
- Separate variable pay
- Avoid “competitive” alone
- Match salary to seniority
What Insurance Analyst candidates will want to know
Practical details can influence whether a suitable candidate applies, even when the title and salary are attractive.
What team will I join and who will I report to?
Candidates want to know whether the role sits in underwriting, actuarial, claims or a central analytics team and the seniority of their line manager.
What data and systems will I use?
Clarify the main data sources, whether they will use BI tools directly, and the level of access for analysis and extraction.
What are the working patterns and flexibility?
State the expected hours, remote/hybrid options and any core on-site days so applicants can assess fit with their commitments.
What projects or objectives will I work on first?
Candidates appreciate examples of initial deliverables—eg a pricing review, portfolio clean-up or dashboard rollout.
Are professional development and study support available?
Tell applicants whether you fund professional qualifications, training or give time for study and CPD.
Will I have regulatory or compliance responsibilities?
Clarify if the role involves regulatory reporting, data governance duties or working with compliance teams.
Where to post a Insurance Analyst job
This role suits both broad financial-services job boards and insurance-specialist channels. Use national boards and LinkedIn to reach a wide pool, then narrow distribution to insurance and actuarial job sites, sector forums and professional groups to attract candidates with domain experience. For entry-level roles consider campus recruitment and alumni networks; for technical vacancies highlight data skills to attract analytics talent.
Insurance Analyst job description FAQs
Do Insurance Analysts need formal qualifications?
Many employers value degrees in finance, economics, mathematics or related fields, but equivalent practical experience is equally acceptable. Professional study (for example CII modules) is often encouraged but not mandatory for most analyst roles.
How should I assess analytical skills at shortlist stage?
Use a short technical exercise or case study that reflects typical tasks (eg interpreting a loss triangle, cleaning a dataset or explaining a dashboard). Combine this with behavioural interview questions about stakeholder communication and decision-informing work.
Is prior insurance experience essential?
It depends on the role. For underwriting- or product-specific analyst roles, sector experience is highly desirable. For broader analytics positions, strong quantitative skills and an ability to learn insurance concepts may suffice.
Can an analyst role be remote?
Many employers offer hybrid working. Consider whether the role requires frequent in-person collaboration with underwriters, claims or access to secure on-site systems when setting expectations.
What are typical career paths from this role?
Common progression routes include senior analyst, pricing or product specialist, actuarial assistant, underwriting or analytics manager roles depending on the individual’s strengths and interests.
Ready to hire an Insurance Analyst?
Create your vacancy using this template and share details on team, location and salary band to attract candidates with the right mix of insurance knowledge and analytical skills. If you’d like help publishing to multiple UK boards, consider our job distribution service.
