INDUSTRY
OVERVIEW
The insurance industry is undergoing a data analytics revolution. As businesses increasingly rely on data-driven insights to drive decision-making, the demand for data analytics professionals who can provide risk management solutions within the insurance sector is surging.
In recent years, the realm of data and analytics has gained paramount importance, resulting in the emergence of specialized roles such as credit analysts, data scientists, data engineers, and analytics developers. One of the key challenges in Insurance Data Recruitment is identifying individuals with the right skill set to aid their company's risk management services. These positions necessitate expertise in programming languages, data modelling, statistical analysis, and knowledge of advanced data analytics techniques. All whilst working within the organisation's risk management framework, which varies from company to company.
Currently, there exists a notable scarcity of skilled data analytics professionals, rendering it challenging for insurance companies to identify the right talent to fill crucial roles. The demand for skilled professionals in Insurance Data Recruitment is expected to grow in the coming years as the insurance industry continues to evolve. Consequently, a competitive landscape has started to emerge, characterized by escalating salaries and benefits as organizations vie for qualified candidates.
Attracting and retaining top talent through insurance data recruitment insurance companies must cultivate a supportive and innovative workplace culture that nurtures growth, learning, and collaboration. Insurance Data Recruitment is a strategic imperative for these companies. By investing in the recruitment, training and development of their workforce, insurers can secure the retention of skilled professionals and maintain a competitive edge in the data analytics-driven insurance landscape. Contact one of our insurance data recruitment experts today to stay ahead in this evolving industry.
Â
CORE SKILLS
-
Data Analysis: Data analysts in insurance need a strong grasp of data analysis techniques. This involves the ability to clean, preprocess, and transform raw data into a usable format. Analysts must also be skilled in exploratory data analysis to uncover patterns, correlations, and anomalies within insurance datasets. This skill is crucial for identifying key insights that can inform business decisions and risk assessment.
-
Statistical Analysis: Statistical analysis is at the core of insurance data analytics. Analysts must be proficient in statistical methods to assess risk, model claim frequencies and severities, and conduct actuarial analyses. This skill is essential for pricing insurance products accurately and for making underwriting decisions.
-
Data Visualization: Data analysts need to translate complex data findings into easily understandable visualizations. Proficiency in data visualization tools like Tableau or Power BI is essential. Clear and compelling visualizations help stakeholders, including underwriters and executives, comprehend data-driven insights and make informed decisions.
-
Programming Languages: Data analysts often work with programming languages like Python or R to manipulate and analyze data efficiently. These languages enable analysts to write custom scripts and algorithms for data transformation, statistical modeling, and machine learning applications. Python, in particular, is widely used in the insurance industry for data analytics.
-
Machine Learning: Machine learning is increasingly important in insurance data analytics. Analysts must have a foundational understanding of machine learning algorithms and techniques. These skills are used for tasks such as predicting insurance claims, identifying fraud, and optimizing customer segmentation.
-
Insurance Domain Knowledge: Understanding the insurance industry's nuances, including various insurance products (e.g., life, health, property, casualty), policy structures, and regulatory requirements, is critical. Domain knowledge allows data analysts to contextualize data and tailor their analyses to address specific insurance-related challenges.
-
Business Acumen: Data analysts should have a strong sense of the insurance business. They need to align their data analytics efforts with the company's strategic goals and objectives. This entails understanding the insurance market, competitive landscape, and customer needs.
-
Ethical Data Handling: Data privacy and ethical considerations are paramount when working with sensitive customer data in the insurance industry. Analysts must ensure compliance with data protection regulations and industry standards to maintain customer trust and legal integrity.
-
Team Collaboration: Effective communication and collaboration skills are essential. Data analysts often work in cross-functional teams alongside underwriters, actuaries, and IT professionals. The ability to communicate data findings clearly and collaborate on solutions is crucial for success.
-
Adaptability: The insurance industry, like many others, is continuously evolving. Data analysts should be adaptable and open to learning new data tools, technologies, and methodologies. Staying updated with industry trends and emerging data analytics techniques is important.
-
- Â
HIRING DATA SCIENTISTS?Â
A data scientist's role in the insurance industry is multifaceted and essential for leveraging data to make informed decisions, optimize processes, and drive business growth.
To hire and retain the best Data Scientists, organisations should:
- Provide competitive salary and benefits packages
- Professional Growth Opportunities
- Innovative Work Environment
- Build a strong employer brand
- Establish strategic partnerships with universities and research institutions.
Â
UK Hiring Market:
In the competitive landscape of the UK insurance industry, the demand for skilled data scientists is steadily increasing. The UK's insurance sector is renowned for its innovative approach and reliance on data analytics to refine risk assessment and customer engagement. To attract top data science talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to technological advancements and data-driven decision-making.
US Hiring Market:
In the United States, there is a surging demand for data scientists in the insurance sector. Insurance companies, insurtech firms, and startups are heavily investing in data analytics to optimize underwriting processes, enhance customer experiences, and develop predictive models for risk management. To compete for data science talent in the US, insurance organizations must offer attractive compensation packages and highlight their involvement in cutting-edge data projects.
EU Hiring Market:
The European insurance market exhibits varying levels of demand for data scientists across different countries. Nations with a strong insurance presence, such as Germany, France, and Sweden, are experiencing a substantial need for data scientists proficient in insurance data analytics and regulatory compliance. Insurance companies in these regions should target local talent pools and emphasize their industry expertise to attract skilled data scientists.
Speak to one of our insurance data recruitment experts today to find a data scientist to suit all your needs!
HIRING RISK ANALYSTS?
HIRING DATA ENGINEERS?
HIRING CREDIT ANALYSTS?
In the insurance industry, credit analysts play a pivotal role in assessing and managing the financial risks associated with policyholders and potential clients.
To hire and retain the best Credit Analysts, organisations should:
- Provide competitive salary and benefits packages
- Professional Growth Opportunities
- Innovative Work Environment
- Build a strong employer brand
- Establish strategic partnerships with universities and research institutions.
HIRING BUSINESS INTELLIGENCE ANALYSTS?
In the insurance industry, business intelligence (BI) analysts serve as the data maestros, orchestrating the management and utilization of vast datasets essential for informed decision-making. Their role is multifaceted, encompassing various critical responsibilities that collectively enhance the overall efficiency and effectiveness of insurance operations.
To hire and retain the best BI Analysts, organisations should:
- Provide competitive salary and benefits packages
- Professional Growth Opportunities
- Innovative Work Environment
- Build a strong employer brand
- Establish strategic partnerships with universities and research institutions.
UK Hiring Market:
In the competitive landscape of the UK insurance industry, the demand for skilled BI analysts is on the rise. The UK's insurance sector relies heavily on data-driven insights for risk assessment, customer segmentation, and operational optimization. To attract top BI analyst talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to leveraging data for competitive advantage.
US Hiring Market:
In the United States, there is a growing demand for BI analysts in the insurance sector. Insurance companies, including carriers and brokers, are increasingly adopting BI solutions to gain insights into customer behaviour, claims processing efficiency, and market trends. To compete for BI analyst talent in the US, insurance organizations should offer attractive compensation packages and showcase their involvement in cutting-edge BI projects.
EU Hiring Market:
The European insurance market also presents opportunities for BI analysts, particularly in countries with strong insurance industry presence such as Germany, France, and Sweden. These regions require BI analysts proficient in data analytics and visualization to support data-driven decision-making and enhance operational efficiency. Insurance companies in these areas should focus on local talent pools and emphasize their industry expertise to attract BI analysts who can unlock valuable insights from data to drive business growth and competitiveness.
Need help to hire the right BI Analyst? Contact us today and choose from our diverse talent pool.
JOBS
LATEST Insurance Data
JOBS
Data Engineer
Short Hill
$120000 - $140000
+ Data Engineering
PermanentNew Jersey
To Apply for this Job Click Here
Senior Data Engineer
Location: New Jersey
Remote: Hybrid (2 days on-site per week)
Salary: $120,000 – $140,000 base + 10% target bonus (flexible for outstanding profiles)
Visa: No sponsorship
Company
The organization is modernizing a fragmented legacy environment into a cloud-native data platform built on Databricks and Azure. With strong revenue growth and national expansion underway, data engineering has become a strategic pillar to support pricing, risk, analytics, and operational decision-making across the business.
The Role
- Design, build, and optimize end-to-end data pipelines on Databricks using Python, PySpark, and SQL.
- Implement and evolve Medallion architecture standards (Bronze, Silver, Gold) across multiple data domains.
- Develop ingestion frameworks for batch and streaming data, including structured and semi-structured sources.
- Partner with actuarial, analytics, underwriting, claims, and marketing teams to deliver trusted, production-grade data.
- Contribute to data governance, observability, cost optimization, and CI/CD best practices within Databricks.
Desired Profile
- 5-7+ years of experience in Data Engineering with strong, hands-on Databricks expertise.
- Proven ability to build, explain, and own production-grade pipelines from ingestion to consumption.
- Deep understanding of Medallion architecture and schema evolution strategies.
- Strong Python and PySpark coding skills, with solid SQL performance tuning experience.
- Experience working with cloud data lakes (Azure preferred) and modern file formats (Delta, Parquet, JSON, XML).
To Apply for this Job Click Here
Customer Experience Optimisation Manager (CRO)
London
£55000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Customer Experience Optimisation Manager
London (Hybrid)
Up to 60k
This is a high impact opportunity to lead a data led customer experience and CRO function within a digitally focused organisation. You will own the optimisation of end to end customer journeys, using experimentation, insight, and innovation to drive measurable commercial outcomes.
The Company
They are a well established, customer centric organisation operating across multiple digital brands and markets. Customer experience sits at the core of their growth strategy, supported by strong investment in data, technology, and experimentation. The business fosters a collaborative environment where cross functional teams work closely to deliver continuous optimisation.
The Role
Be part of CRO and customer experience agenda, driving optimisation across the full digital journey while influencing strategic decision making.
- Own and optimise the end to end digital customer journey with accountability for conversion and revenue performance
- Develop and execute a data led experimentation and CRO roadmap across multiple products and markets
- Use analytics, customer insights, and testing tools to identify opportunities and prioritise high impact improvements
- Deliver and scale AB testing and experimentation programmes across digital platforms
- Collaborate closely with product, UX, engineering, and marketing teams to deliver optimisation initiatives
- Define and track key customer experience and performance metrics, presenting insights to senior stakeholders
- Champion a culture of experimentation, continuous improvement, and customer centricity
Your Skills and Experience
- Commercial experience in customer experience, CRO, or digital product optimisation
- Proven track record of driving measurable impact through experimentation and data led decision making
- Hands-on experience with analytics and testing tools such as Google Analytics, Optimizely, or similar
- Understanding of UX principles, customer journeys, and personalisation strategies
- Experience working cross functionally with stakeholders
- Familiarity with experimentation frameworks and optimisation roadmaps
- Experience within a highly regulated industry would be beneficial
What They Offer
- Performance bonus
- Hybrid working model with flexibility
How to Apply
If you are interested please apply with your CV.
To Apply for this Job Click Here
CRO Manager
London
£60000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Customer Experience Optimisation Manager
Remote-first (UK) | 1-2 days a month
Up to £60,000
We’re looking for a Customer Experience Optimisation Manager to take ownership of the end-to-end customer journey across multiple digital brands. This is a high-impact role, focused on improving conversion, retention, and overall customer experience through experimentation, insight, and innovation.
The Role
You’ll be responsible for defining and delivering the CX optimisation strategy, working cross-functionally to continuously improve digital performance.
Key responsibilities include:
- Owning and optimising the full digital customer journey, with accountability for conversion rate and revenue performance
- Developing and delivering a data-led experimentation roadmap (A/B testing, CRO)
- Using analytics, customer insights, and testing tools to identify opportunities and drive improvements
- Collaborating with product, UX, engineering, and marketing teams to implement winning experiments
- Defining CX metrics, monitoring performance, and presenting insights to senior stakeholders
- Driving a culture of continuous improvement, innovation, and customer-centricity
About You
- Proven experience in customer experience, CRO, or product optimisation
- Strong analytical mindset with experience using tools such as Google Analytics, Optimizely, VWO, or similar
- Solid understanding of UX/UI principles, experimentation, and digital optimisation
- Experience working in a cross-functional, fast-paced environment
- Excellent communication skills with the ability to influence stakeholders at all levels
Desirable:
- Experience within insurance, travel, or financial services
- Exposure to personalisation, server-side testing, or AI-driven optimisation
Benefits
- Flexible, remote-first working model
- Competitive salary + performance-based bonus
- Opportunity to work in a data-driven, innovative environment
- Clear progression and career development opportunities
- Exposure to multi-brand, international markets
- Collaborative, high-performing team culture
How to Apply
If you’re excited about driving meaningful improvements in customer experience and want to make a tangible impact, we’d love to hear from you.
Apply now with your CV or reach out directly!
To Apply for this Job Click Here
CRO Manager
Birmingham
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
CRO Manager
£50,000 – £60,000
This is an opportunity to take ownership of end-to-end customer experience and conversion strategy within a fast-paced, data-driven organisation. You will play a key role in shaping how digital journeys perform, using experimentation and insight to deliver measurable commercial impact across multiple products and markets.
THE COMPANY
They are a well-established, customer-focused business operating across international markets, with a strong digital presence and a commitment to innovation. Their approach is centred on delivering seamless customer experiences, supported by data, analytics, and modern technology. With continued investment in digital and experimentation capabilities, they are building a culture that prioritises continuous improvement and measurable outcomes. You will be joining a collaborative environment where cross-functional teams work closely to deliver high impact change.
THE ROLE
As a CRO Manager you will you will lead customer experience optimisation initiatives, with responsibility for driving conversion, engagement, and overall performance.
Specifically, you can expect to be involved in the following:
- Own and optimise the end-to-end digital customer journey across multiple touchpoints
- Develop and execute a data-driven CRO and experimentation roadmap
- Use analytics, user behaviour data, and testing insights to identify opportunities for improvement
- Manage A/B testing and experimentation programmes to validate and scale changes
- Collaborate with product, engineering, UX, and marketing teams to deliver optimisation initiatives
- Define key performance metrics and present insights and recommendations to senior stakeholders
- Champion a culture of testing, learning, and continuous optimisation across the organisation
SKILLS AND EXPERIENCE
The successful CRO Manager will have the following skills and experience:
- Strong commercial experience in conversion rate optimisation, customer experience, or digital product
- Proven ability to deliver measurable impact through experimentation and testing
- Experience with analytics and testing tools such as Google Analytics, Optimizely, VWO, or similar
- Solid understanding of digital journeys, user behaviour, and UX best practice
- Ability to translate complex data into clear, actionable insights
- Experience working cross functionally with technical and non-technical stakeholders
- Strong communication skills with the confidence to influence decision making
BENEFITS
The successful CRO Manager will receive the following benefits:
- Salary between £50,000 – £60,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
CRO Manager
Manchester
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
CRO Manager
£50,000 – £60,000
This is an opportunity to take ownership of end-to-end customer experience and conversion strategy within a fast-paced, data-driven organisation. You will play a key role in shaping how digital journeys perform, using experimentation and insight to deliver measurable commercial impact across multiple products and markets.
THE COMPANY
They are a well-established, customer-focused business operating across international markets, with a strong digital presence and a commitment to innovation. Their approach is centred on delivering seamless customer experiences, supported by data, analytics, and modern technology. With continued investment in digital and experimentation capabilities, they are building a culture that prioritises continuous improvement and measurable outcomes. You will be joining a collaborative environment where cross-functional teams work closely to deliver high impact change.
THE ROLE
As a CRO Manager you will you will lead customer experience optimisation initiatives, with responsibility for driving conversion, engagement, and overall performance.
Specifically, you can expect to be involved in the following:
- Own and optimise the end-to-end digital customer journey across multiple touchpoints
- Develop and execute a data-driven CRO and experimentation roadmap
- Use analytics, user behaviour data, and testing insights to identify opportunities for improvement
- Manage A/B testing and experimentation programmes to validate and scale changes
- Collaborate with product, engineering, UX, and marketing teams to deliver optimisation initiatives
- Define key performance metrics and present insights and recommendations to senior stakeholders
- Champion a culture of testing, learning, and continuous optimisation across the organisation
SKILLS AND EXPERIENCE
The successful CRO Manager will have the following skills and experience:
- Strong commercial experience in conversion rate optimisation, customer experience, or digital product
- Proven ability to deliver measurable impact through experimentation and testing
- Experience with analytics and testing tools such as Google Analytics, Optimizely, VWO, or similar
- Solid understanding of digital journeys, user behaviour, and UX best practice
- Ability to translate complex data into clear, actionable insights
- Experience working cross functionally with technical and non-technical stakeholders
- Strong communication skills with the confidence to influence decision making
BENEFITS
The successful CRO Manager will receive the following benefits:
- Salary between £50,000 – £60,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
CRO Manager
City of London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
To Apply for this Job Click Here
CRO Manager
£50,000 – £60,000
This is an opportunity to take ownership of end-to-end customer experience and conversion strategy within a fast-paced, data-driven organisation. You will play a key role in shaping how digital journeys perform, using experimentation and insight to deliver measurable commercial impact across multiple products and markets.
THE COMPANY
They are a well-established, customer-focused business operating across international markets, with a strong digital presence and a commitment to innovation. Their approach is centred on delivering seamless customer experiences, supported by data, analytics, and modern technology. With continued investment in digital and experimentation capabilities, they are building a culture that prioritises continuous improvement and measurable outcomes. You will be joining a collaborative environment where cross-functional teams work closely to deliver high impact change.
THE ROLE
As a CRO Manager you will you will lead customer experience optimisation initiatives, with responsibility for driving conversion, engagement, and overall performance.
Specifically, you can expect to be involved in the following:
- Own and optimise the end-to-end digital customer journey across multiple touchpoints
- Develop and execute a data-driven CRO and experimentation roadmap
- Use analytics, user behaviour data, and testing insights to identify opportunities for improvement
- Manage A/B testing and experimentation programmes to validate and scale changes
- Collaborate with product, engineering, UX, and marketing teams to deliver optimisation initiatives
- Define key performance metrics and present insights and recommendations to senior stakeholders
- Champion a culture of testing, learning, and continuous optimisation across the organisation
SKILLS AND EXPERIENCE
The successful CRO Manager will have the following skills and experience:
- Strong commercial experience in conversion rate optimisation, customer experience, or digital product
- Proven ability to deliver measurable impact through experimentation and testing
- Experience with analytics and testing tools such as Google Analytics, Optimizely, VWO, or similar
- Solid understanding of digital journeys, user behaviour, and UX best practice
- Ability to translate complex data into clear, actionable insights
- Experience working cross functionally with technical and non-technical stakeholders
- Strong communication skills with the confidence to influence decision making
BENEFITS
The successful CRO Manager will receive the following benefits:
- Salary between £50,000 – £60,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Graduate Data Scientist
London
£30000 - £40000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Graduate Data Scientist
London – 4 days a week
The Company
They are a modern, data-driven insurance provider focused on delivering flexible, tailored policies to customers. The business has expanded its product offering and built strong commercial partnerships, driving rapid growth. With around 100 employees, they are scaling quickly and investing heavily in advanced analytics and modelling. The culture is collaborative, fast-paced, and centred on innovation.
The Role
As a Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions.
- Develop predictive models across pricing, risk, and customer acquisition
- Build clustering and segmentation models to support strategic decision-making
- Analyse large and complex datasets to uncover actionable insights
- Collaborate with analysts and engineers to deploy and productionise models
- Contribute to a greenfield modelling environment and help shape best practices
- Take ownership of projects with visibility across the wider business
Your Skills and Experience
- Strong academic background in a STEM subject such as Mathematics, Data Science, Computer Science, or similar
- Solid programming skills, ideally in Python
- Understanding of statistical modelling and machine learning fundamentals
- Hands-on experience through internships, placements, or personal projects
- Demonstrated curiosity and initiative, such as side projects or GitHub work
- Clear communication skills and the ability to collaborate with cross-functional teams
- Motivated, proactive, and keen to take ownership early in your career
What They Offer
- Hybrid working with a strong in-office culture
- Opportunity to work on high-impact, business-critical models
- Fast career progression as the team continues to grow
- Work abroad flexibility for short periods each year
- Supportive environment with strong learning and development opportunities
How to Apply
If you are a graduate or early-career data scientist looking to make an impact in a high-growth environment, please apply with your CV.
To Apply for this Job Click Here
Graduate Business Analyst
Bournemouth
£26000 - £30000
+ Advanced Analytics & Marketing Insights
PermanentBournemouth, Dorset
To Apply for this Job Click Here
Associate Information Analyst
Bournemouth/Hybrid
Up to £28,000
Overview
A strong entry point into a data career, this role offers hands on SQL work alongside real business exposure. You will develop skills in data requirements, quality, and stakeholder engagement while working across a range of projects.
The Company
They are a well-established UK based organisation with a growing data function and strong investment in analytics. The business promotes a collaborative environment where data plays a key role in decision making. You will join a supportive team with clear opportunities to learn and progress.
The Role & Responsibilities
- Gather and interpret data requirements from business stakeholders
- Translate needs into clear data specifications
- Use SQL for data interrogation, testing, and validation
- Support data quality improvement and issue resolution
- Work on both transformation projects and BAU changes
- Collaborate with engineering, analytics teams, and business users
- Build or support basic Power BI or Tableau outputs when needed
Your Skills & Experience
- Strong SQL fundamentals
- Experience using Excel for data analysis
- Exposure to BI tools such as Power BI or Tableau
- Ability to balance technical work with stakeholder communication
- Curious, proactive, and confident asking questions
How to Apply
Apply now to start or grow your career in a business facing data role.
To Apply for this Job Click Here
Graduate Business Analyst
Bournemouth
£28000 - £30000
+ Advanced Analytics & Marketing Insights
PermanentBournemouth, Dorset
To Apply for this Job Click Here
Associate Information Analyst
Bournemouth | Hybrid working (2 days per week on-site) | £28,000 – £30,000. No sponsorship offered now or in the future!
This is not a data analyst position!
This is a great opportunity for someone early in their data or information career who wants exposure beyond dashboards and reporting. You will sit at the intersection of business and data, gaining hands-on experience with requirements gathering, data quality and stakeholder engagement within a supportive analytics environment. If you enjoy understanding how data flows through systems and asking the right questions to solve business problems, this role offers strong foundations and long-term progression.
The Company
They are a well-established UK organisation operating in the health and insurance space, with a strong focus on using data to improve decision-making and customer outcomes. The business has a collaborative, purpose-led culture and a growing analytics community spread across multiple UK locations. Data plays a central role in how teams work, with ongoing investment in platforms, people and transformation initiatives.
The Role
- Act as a bridge between business stakeholders and data or engineering teams.
- Gather, clarify and document data requirements, ensuring business needs are clearly understood.
- Use SQL to interrogate data, support validation, testing and issue resolution.
- Assess the impact of changes to existing data assets and support continuous improvements.
- Contribute to larger data and systems change projects as well as smaller BAU enhancements.
- Support the creation of basic data outputs and occasional dashboards, where required.
- Work closely with analysts, engineers and architects across a range of initiatives.
Your Skills and Experience
- Strong foundational SQL skills for data interrogation and validation.
- An understanding of how data is structured and moves through systems.
- Exposure to BI tools such as Power BI or Tableau.
- Confidence communicating with both technical and non-technical stakeholders.
- A curious, problem-solving mindset with an interest in how data supports the business.
- Comfortable working across requirements, testing and data quality rather than pure reporting.
What They Offer
- Competitive salary between £28,000, with flexibility up to £30,000.
- Discretionary bonus scheme paid biannually.
- Hybrid working model with two days per week in the Bournemouth office.
- Comprehensive benefits package aligned with the wider business.
- Clear development pathway within an established data and information function.
How to Apply
If you are looking to build a career in information and data, with exposure to real business change, please apply via the organisation’s online application process.
To Apply for this Job Click Here
Associate Information Analyst
Bournemouth
£25000 - £280000
+ Advanced Analytics & Marketing Insights
PermanentBournemouth, Dorset
To Apply for this Job Click Here
ASSOCIATE INFORMATION ANALYST
BOURNEMOUTH/HYBRID
UP TO £28,000
This is a standout opportunity for an early career data professional to step into a role that goes beyond dashboards and reporting. You will sit at the intersection of business and data, gaining exposure to end to end data processes while building strong stakeholder and technical skills. If you enjoy asking questions, understanding how data drives decisions, and working on meaningful change, this role offers an excellent foundation for long term progression.
ROLES AND RESPONSIBILITIES:
The Associate Information Analyst will:
- Act as a bridge between business stakeholders and technical teams, translating requirements into clear data needs
- Support requirements gathering through workshops, interviews, and analysis
- Work closely with data engineers to ensure data flows and solutions are correctly implemented
- Write and use SQL to interrogate data, validate outputs, and support testing activities
- Assist with data validation and quality assurance processes
- Contribute to both transformation projects and ongoing improvements
- Support the maintenance and monitoring of data outputs and pipelines
- Help diagnose and resolve data issues while communicating effectively with stakeholders
YOUR SKILLS AND EXPERIENCE:
- Strong foundation in SQL for data analysis and validation
- Understanding of how data is structured and flows through systems
- Exposure to BI tools such as Power BI or Tableau
- Confident using Excel for data interrogation and analysis
- Strong problem solving ability with a curious and analytical mindset
- Comfortable engaging with stakeholders and asking insightful questions
- Interest in working across both technical and business focused tasks
APPLY BELOW
To Apply for this Job Click Here
SAS Model Developer
London
£380 - £400
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
SAS Model Developer (Contract)
London, Outside IR35
This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business‑critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued.
The Company
They are a data‑driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision‑making. The environment is collaborative and delivery‑focused, with senior stakeholders closely engaged in the outcomes of the work.
The Role and Deliverables
- Design, develop, and enhance statistical and predictive models using SAS across the full model development lifecycle.
- Build modelling datasets, feature engineering processes, and variable transformations.
- Develop model logic, segmentation rules, scoring code, and scenario analysis.
- Carry out model validation, back‑testing, sensitivity analysis, and performance monitoring.
- Convert prototype models into production‑ready SAS solutions with appropriate documentation.
- Work with analytics, technology, and business stakeholders to deploy and optimise models in controlled environments.
Your Skills & Experience
- Strong experience developing statistical and predictive models in SAS.
- Advanced SAS programming capability including Base SAS, Data Step, SAS SQL, and macro development.
- Proven ownership of models from development and validation through to deployment and optimisation.
- Solid understanding of regression‑based modelling, segmentation, forecasting, and model performance measurement.
- Confidence working independently and communicating complex modelling concepts to non‑technical stakeholders.
How to Apply
Apply now to discuss how your SAS modelling experience could contribute to this high‑impact contract role.
To Apply for this Job Click Here
Customer Selections and Analytics Consultant
Stratford-upon-Avon
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentStratford-upon-Avon, Warwickshire
To Apply for this Job Click Here
Customer Selections & Analytics Consultant
£45,000 to £50,000
Stratford-upon-Avon (1 day per week on-site)
This is an excellent opportunity to join a well-established organisation investing in its customer data and campaign capabilities. You will play a key role in delivering data-driven marketing activity while gaining exposure to modern data platforms, customer analytics, and advanced campaign optimisation.
THE COMPANY
They are a highly regarded UK-based organisation operating across insurance and financial services, with a strong reputation for customer-centricity and long-term value.
THE ROLE
As a Customer Selections & Analytics Consultant you will sit within a specialist Customer Selections and Analytics team, working alongside SQL specialists and analytics professionals to deliver high-quality campaign selections and insights.
Specifically, you can expect to be involved in the following:
- Translating campaign briefs into structured technical requirements.
- Building and executing customer selections using SQL.
- Joining and manipulating large datasets across CRM, transactional and behavioural data.
- Supporting campaign deployment via API integrations with CRM platforms.
- Partnering with analytics teams to support test-and-learn initiatives and performance measurement.
- Planning and delivering selections aligned to campaign timelines and business priorities.
- Communicating insights clearly to stakeholders to support data-driven decisions.
SKILLS AND EXPERIENCE
The successful Customer Selections & Analytics Consultant will have the following skills and experience:
- Strong SQL skills and experience working with complex datasets.
- Background in campaign selections, CRM data or customer analytics.
- Ability to translate business requirements into technical outputs.
- Exposure to data visualisation tools such as Power BI or similar is beneficial.
BENEFITS
The successful Customer Selections & Analytics Consultant will receive the following benefits:
- Salary between £45,000 – £50,000 – depending on experience
- A 17.5% bonus and other benefits
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
Resume Tips for Professionals in Risk Analytics
Resume Tips for Professionals in Risk Analytics There are a number of online guides about how to…
What Skills And Attributes Do You Need To Become A Risk Analyst?
No business is risk-free and as we traverse a highly technical and ever-evolving working landscape, the number of areas where problems, perhaps even crises, may…
Risk Analytics Landscape: 2022 | Harnham Recruitment post
2022 is set to be an interesting year for Risk Analytics. According to research, the risk analytics market is expected to be worth around $54.95bn by 2027 and…
How To Get Started In Risk Analytics | Harnham Recruitment post
Risk Analytics has been an integral part of teams across several industries for years. After the 2008 financial crash, whereby $8 trillion was wiped from the…
Get in touch
today
Still need AI Recruitment expertise?
If you're unsure of what you’re looking for right now, get in contact anyway – we’re always getting new clients through the door.
FAQ:
What does a Data Analyst do in insurance?Â
- A data analyst in the insurance industry plays a vital role in extracting meaningful insights from vast datasets to inform decision-making, improve operational efficiency, and manage risk effectively.
How much do insurance analysts make in the UK?
- The average salary for an Insurance Analyst in the UK is £33,819 per year. However, Salaries may differ by location, with analysts in London typically earning higher incomes due to the city's higher cost of living.
What are the different types of insurance analysts?
There are several different types of insurance analysts who specialise in various areas.
- Fraud Analysts: These analysts specialise in identifying and preventing fraudulent insurance claims. They do this through the use of data analysis and investigative techniques to detect suspicious activities.
- Claims Analysts: This type of analyst will investigate claims made by policyholders. They verify the validity of the claims and assess the extent.
- Actuarial Analyst: This type uses mathematical and statistical models to assess and predict risk. This helps insurance companies set rates & estimate future liabilities.Â
- Market Research Analysts: These Analysts study industry trends, customer behaviour & their competitors. All so that they can provide insights for their insurance companies. Which use them to identify new market opportunities & marketing strategies.
- Risk Analysts: Asses and manage various types of risks that insurance companies face, this includes financial, operational & market risks. A big part of their responsibilities is developing risk mitigation strategies to safeguard the company's financial stability.Â
What is an insurance analytics platform?
- A risk management software solution, specially designed to help insurance companies leverage data analytics to improve their decision-making, manage risks more effectively and manage risks more efficiently. The data provides analysts with the insights they need to inform key stakeholders of potential threats to and opportunities for the business.
How big is the insurance analytics market?
- As of 2022 & on a global scale, the insurance analytics market was valued at $11.71 Billion. It is expected to grow at a rate of 15.4% from 2023 through 2029. With an eventual value of $31.92 Billion.
How is data analytics transforming the insurance industry?Â
- The main aspect of data analytics that has proven to be game-changing is Cloud Computing. Cloud computing has and continues to improve the performance of analytics in real-time and in greater depth. Â
Why do we need data analytics in the insurance industry?
- With data analytics, an insurer enables itself to optimise every single aspect of its business using insights from data. This is known as data-driven decision-making.Â
Industry Trends
In the world of insurance, stability has traditionally been the cornerstone, allowing for predictable risk assessment and steady growth. However, the once steadfast foundations of this industry are undergoing a profound transformation. Over the past few years, a series of short-term crises have shaken the very core of insurance. From a global pandemic to political unrest, supply chain disruptions, and extreme weather events, the landscape is evolving in ways unimaginable just two decades ago.
These short-term crises are not isolated incidents but rather symptomatic of larger, long-term trends. Previously, we referred to these trends as STEEP factors, encompassing Social, Technological, Economic, Environmental, and Political influences. Today, their impact is more pronounced than ever. Social instability, technological disruption, shifting demographics, and climate change are converging to create a fractured world. Insurers now face a daunting array of intensifying risks, both in terms of variety and frequency.
Consequently, these developments have brought about significant changes within the insurance industry itself. Let's explore some of these transformative shifts:
Market Evolution
The traditional insurance market is undergoing a seismic shift. The rise of digital channels and an expanded network of distribution points, including partnerships and embedded options, is disintermediating markets. This proliferation of policy options and easier access challenges the established dominance of carriers. Barriers to entry are diminishing, setting the stage for increased competition and innovation.
Operational Adaptation
Even before the pandemic, insurers were grappling with substantial changes across their operations. In multiple PwC CEO surveys, insurance leaders consistently identified disruption as their primary challenge. The pandemic further accelerated these changes, pushing the workforce and customer interactions into the virtual realm. This shift stressed various functions, including IT, HR, and sales, while upending many established assumptions and behaviours. The industry responded by experimenting with new approaches, but a sense of caution lingers as insurers remain vigilant for unforeseen challenges.
Technological Revolution
Insurers are striving to become tech-enabled, leveraging data from multiple sources to rapidly assess and price risk. Additionally, they aim to provide seamless customer experiences, offering information and insurance precisely when clients need it. Achieving this vision requires a flexible technological infrastructure and a strategic IT function. While progress is evident, most carriers still have a substantial distance to cover before becoming truly tech-enabled, as opposed to merely 'digital.'
Environmental and Social Responsibility
Environmental, Social, and Governance (ESG) considerations are now central to the insurance industry's continued relevance. Compliance with reporting requirements and maintaining a positive brand image are just the tip of the iceberg. Insurers are extending their responsibilities to help clients and society at large mitigate natural and human catastrophes, cybercrime, and other loss incidents. By doing so, they reduce claims, boost profitability, and ensure their long-term viability as carriers.
Â
These proactive approaches not only reduce claims but also boost profitability and ensure carrier viability. As insurers grapple with these challenges, we anticipate four likely approaches:
Â
Incremental Change: This aligns with the current and historical norm for most carriers. They adapt incrementally, often reactively, in response to STEEP developments. This approach involves modernizing certain key operational aspects, such as claims processing and customer service, albeit without a comprehensive vision for how cloud and digital transformation can enhance broader business and operations. Incremental change also includes defending or expanding market share, primarily by competing on price and refining loss mitigation and prevention measures. It often involves short-term cost-cutting and a slow adoption of data-driven service improvements. This approach may lack full funding and consistent C-suite support.
- While it modernizes and enhances certain critical operational facets, such as claims processing, and customer service features like autopay and self-service options, it frequently falls short in adopting a comprehensive enterprise-wide perspective on how cloud and digital transformation can truly elevate the broader spectrum of business and operational functions
- Safeguards its market position and bolsters its brand image among specific customer segments, usually by engaging in price-based competition.
-
Enhances the improvement of loss prevention and mitigation on the periphery.
-
Reduces costs usually by implementing short-term expense reductions.
-
Utilizes data at a leisurely pace when it comes to enhancing service experiences.
-
Employs data at a relaxed rate when improving service encounters.
Â
Â
The Customer-First Approach: Some insurers are restructuring their business and operating models to place the customer at the forefront. This entails aligning offerings and services with evolving customer needs over time. on the customer's needs. This entails fashioning personalized, all-encompassing insurance packages right at the moment of purchase, while seamlessly eliminating any friction by amalgamating service and support across our array of offerings.
-
The principle that carrier and customer success are indistinguishable is fully endorsed by business and operating models.
-
Encompasses a wide range of consumer and risk data sourced from sensors, telematics, and unstructured data to tailor coverage, offer a smooth service experience, mitigate risks, and earn the confidence of customers.
- Provides user-friendly and educational AI-driven insurance and financial solutions for various stakeholders, including employers and their staff (group), enterprises (both commercial and personal lines), individual clients (across all coverage categories), and agents (across all business sectors).
-
Disseminates data from the mentioned applications and others both within the company and to pertinent collaborators in order to uphold a live grasp of customer requirements, actions, and risk assessments.
-
Aids policyholders and the community in proactively preventing losses by shifting from relying on probability-based risk management to adopting a deterministic approach. This, in turn, leads to a decrease in claim payments and an enhancement in overall profitability.
Â
Â
Pragmatic Evolution: Insurers adopting this approach orchestrate coverages, services, and support in response to changing customer requirements, offering a flexible and adaptable insurance experience.
-
Enhances the potential of cloud and digital advancements by reinventing the customer journey, establishing a beneficial cycle of support between technological empowerment, dissemination, and customer assistance.
-
Facilitates the process of transformation by optimizing crucial processes and mitigating risks in order to boost income, foster business creativity, encourage expansion, and enhance adaptability.
-
Explorations involving interconnected, multifaceted points of engagement, encompassing ecosystems and incorporated insurance.
-
Tailors insurance policies and offers convenient (self-)service through the utilization of consumer and market information to craft suitable, AI-informed options for specific customer groups.
-
To optimize the efficiency of AI from its inception and throughout its lifecycle, an automated framework is employed to gauge the effectiveness of AI bots.
-
Ensuring customer retention involves simplifying policy renewal procedures and showing careful consideration regarding the mode and frequency of communication.
Â
Â
Radical Reinvention: A few visionary insurers are creating unique business and operating models that redefine insurance and minimize risk. They aim to revolutionize the industry rather than merely adapt to change.
-
Partnerships play a crucial role in our strategic approach due to the reduced barriers to entry and the expanded array of consumer touchpoints, coverages, and coverage options. This requires us to move away from conventional business and operating models.
-
Consequently, inclusion is effortlessly integrated into virtually any transaction's point of sale through collaborative alliances and interconnected systems.
-
Utilizes cutting-edge artificial intelligence that functions discreetly, preemptively identifying the requirements of customers to the extent that it can adjust insurance policies appropriately with minimal or even no intervention from the purchaser.
-
Utilizes the information within its reach to collaborate closely with policyholders, communities, governmental, and private entities in order to proactively improve the factors contributing to and thwart the occurrence of natural disaster losses and cyberattacks.
Â
Find BRILLIANT DATA
CAREERS & MORE Data JOBS
THAN ANYONE ELSE
- APPLY RIGHT NOW
Harnham is one of the leading data recruitment companies in the world, and we are dedicated to helping data professionals find their ideal data job.
We're proud to have access to a global network of top employers and recruitment partners, and our team specialize in connecting data professionals to the right data and analytics career opportunities.
Whether you're looking for an entry-level data job or a senior-level analytics position with a top employer, we have the right opportunity for you. Search now to find the perfect data job to match your technical skills and industry experience.
We also provide a variety of career support services, such as resume and interview preparation, to help data professionals get the most out of their job searches. Follow us on LinkedIn for all the latest news and content: