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.
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CORE SKILLS
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
Senior Data and Analytics Advisor – 12 month FTC
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Data & Analytics Advisor (12 Month FTC)
Salary: Up to £65,000 + bonus + excellent benefits
Location: London (Hybrid – 2 days per week in office)
We are working with a leading professional membership body who represent a key sector within financial services. They are looking for a Senior Data & Analytics Advisor to join their friendly, collaborative team on a 12-month fixed term contract.
The Role
As a Senior Data & Analytics Advisor, you will play a key role in collecting, analysing and presenting data and insights to internal stakeholders and member organisations. You’ll work across a range of high-profile projects, from market forecasting and regulatory data analysis to diversity and inclusion reporting. This role is highly varied, combining technical analysis with stakeholder engagement.
Key Responsibilities
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Collecting and managing data from member organisations and third-party sources (survey data, ONS, regulatory reports, market research, etc.)
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Conducting analysis in Excel and SQL, with visualisation in Power BI
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Producing reports and dashboards to inform policy, media, and strategic initiatives
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Supporting ad hoc projects such as diversity & inclusion statistics and market insights
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Communicating findings clearly to stakeholders with varying levels of data literacy
Requirements
Must-haves:
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Strong experience in Excel, SQL and data visualisation (Power BI preferred)
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Proven ability to work with third-party data sources
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Ability to generate actionable insights from quantitative and qualitative research
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Excellent communication and stakeholder engagement skills
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Minimum 3 years’ relevant experience (ideally 5-7 years)
Desirable:
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Background in financial services, insurance, or market research
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Experience with Python for statistical analysis
What’s on Offer
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Up to £65,000 salary + discretionary bonus (3-10%)
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25 days annual leave + birthday off
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Private medical, gym membership, wellbeing support
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Hybrid working model (2 days per week in office, central London)
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Opportunity to work on meaningful projects with impact across an entire sector
Find out more and apply via the link below.
To Apply for this Job Click Here
Senior Pricing Data Scientist
London
£65000 - £83000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR PRICING DATA SCIENTIST
£80,000
LONDON
Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.
THE COMPANY
This business are a lean and focused Insurtech who have a significant portion of the market. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with modelling at the core.
THE ROLE
You can expect to:
- Develop cutting edge predictive models using Python and Machine Learning techniques
- Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
- Analyse large sets of customer data to drive insight and commercial performance
- Share insight with the wider team and helping to improve profitability across the business on ad hoc project work
YOUR SKILLS AND EXPERIENCE:
- At least 4 years prior experience within insurance
- Good knowledge of Python is essential
- Prior model development experience is essential – ideally conversion rate modelling
- Strong communication skills and desire to learn is key
SALARY AND BENEFITS
- Up to £80,000 base salary
- Discretionary bonus scheme
- Contributory pension scheme
- Remote-based work model
- 25 days holiday
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Propositions & Performance Manager – Insurance Aggregators
London
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Proposition & Performance Manager – Insurance Aggregators
£40,000-£50,000 + Benefits | Central London (Hybrid: 1-2 days in office)
Aggregator Strategy | Product Insight | High-Growth Environment
An exciting opportunity to take ownership of aggregator partnerships and shape product performance within a growing, well-backed insurance provider. If you’re commercially driven and love working cross-functionally to make change happen – this one’s worth a look.
THE COMPANY
This is a lean, agile business in the insurance space with strong backing and big growth plans. They’ve recently restructured their long-term strategy and are now investing in key commercial roles to support scale. The culture is collaborative, down-to-earth, and fast-paced – with a real opportunity to make your mark.
THE ROLE
This is a newly created position sitting within the Commercial team, reporting directly into a high-impact leader who’s seen rapid progression themselves. You’ll play a key role in developing new aggregator relationships and optimising product performance.
Key responsibilities:
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Lead relationships with third-party aggregators and comparison platforms
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Drive onboarding and integration processes
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Analyse product performance and profitability across different channels
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Deliver commercial insight to inform product and partnership strategy
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Work cross-functionally with Claims, Product, and Senior Leadership
WHAT THEY’RE LOOKING FOR
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Experience working with aggregators or comparison partners
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Background in an insurance business, MGA, or comparison platform
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Solid commercial mindset with strong Excel skills
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Confident working cross-functionally and owning external relationships
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Self-starter mindset – comfortable in a fast-moving, evolving setup
WHAT’S IN IT FOR YOU?
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True ownership of a key growth channel
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High visibility with senior leadership
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Part of a business at a critical scale-up moment
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Expenses covered for office travel
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Excellent culture – collaborative, transparent, and ambitious
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Long-term opportunity to evolve and shape the role
INTERVIEW PROCESS
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Initial interview with hiring lead
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Technical/commercial interview
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Final in-person with leadership team
Interested?
This one’s exclusive – apply now or get in touch directly to find out more.
To Apply for this Job Click Here
Data Engineering Manager
London
£110000 - £120000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Role: Data Engineering Manager
Salary: £110,000 – £120,000 + 10% bonus + share options
Location: Central London – 1 day per week in the office (Hybrid)
Our client, a fast-growing product-led business in the insurance and financial services sector, is looking for a Data Engineering Manager/Head of Data Engineering to lead and scale their data team. The company leverages real-world behavioural and location data to power next-generation insights for underwriting, credit risk, and product innovation.
You’ll define the data platform strategy, modernise infrastructure, and enable large-scale data processing to support analytics and machine learning use cases. Leading a team of four Data Engineers, you’ll combine strategic vision with hands-on technical leadership in a fast-paced, high-growth environment.
The role will involve:
- Defining and delivering the data engineering roadmap
- Architecting and modernising data platforms for scale and reliability
- Building pipelines for large-scale behavioural and GPS data
- Driving best practices across CI/CD, infrastructure-as-code, and governance
- Mentoring and growing a high-performing team
What you’ll bring:
- 5+ years in data engineering, with 2+ years in a leadership role
- 60% hands-on technically/40% hands-off leadership and strategy
- Proven experience designing scalable data architectures and pipelines
- Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark
- Cloud expertise (AWS preferred), with Docker/Terraform
- A track record of delivering in fast-paced, scale-up environments
Nice to have:
- Experience with streaming pipelines, MLOps, or modern data architectures
This is a great opportunity to join a well-funded, high-growth business where you’ll shape data strategy, build modern infrastructure, and directly influence product innovation at scale.
Apply today or get in touch for more details.
To Apply for this Job Click Here
Senior Data Analyst
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA ANALYST (12 MONTH FTC) – LONDON
UP TO £65,000
THE COMPANY
We are working with a membership association on an interim analytics hire.
THE ROLE
The successful Senior Data Analyst responsibilities will include:
- Lead on the collection and management of data from members and third-party sources (e.g., market research, surveys, regulatory reports).
- Analyse and interpret internal and external datasets to create insights on market performance, business trends, and policy impact.
- Deliver reporting and market forecasting to support both strategic initiatives and ad hoc projects.
- Develop and maintain dashboards and visualisations (primarily in Power BI) to communicate insights effectively.
- Work closely with internal teams and external stakeholders to ensure smooth data collection, reporting, and communication of findings.
- Support the identification of new data subscribers and opportunities for expanding insight delivery.
YOUR SKILLS AND EXPERIENCE
The successful Senior Data Analyst will have the following skills and experience:
- Strong proficiency in SQL and Excel for data manipulation and analysis.
- Experience with a visualisation tool (ideally Power BI) for building dashboards and reports.
- Proven ability to work with third-party datasets such as survey data, market research, or regulatory/ONS data.
- Track record of producing actionable insights using a mix of internal and external data sources.
- Excellent stakeholder engagement and communication skills, with experience presenting insights to both technical and non-technical audiences.
THE BENEFITS
The successful Senior Data Analyst will receive a salary of up to £65,000, plus an array of additional benefits.
HOW TO APPLY:
Please register your interest by sending your CV to Harry Mincer via the apply link below.
To Apply for this Job Click Here
Technical Claims Manager
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
TECHNICAL CLAIMS MANAGER
LONDON- ONCE A WEEK
UP TO £70,000
This role puts you at the heart of it- driving complex claims decisions, shaping how TPAs deliver, and turning data into action that moves the dial.
THE ROLE
- Sign off on high-value and sensitive cases – you’ll be the escalation point for tricky technical decisions
- Act as the go-to for policy interpretation, guidance, and consistent claims outcomes
- Contribute to the development and refinement of policy wording, exclusions, and guidance material.
- Work closely with the Head of Commercial to define and evolve Ancile’s claims strategy. * Identify and monitor cost containment opportunities without compromising customer outcomes.
RESPONSIBILITIES
- Insurance claims expert – with experience managing complex and technical claims (travel, health or personal lines)
- Data-aware – able to turn MI into business insight and action
- Collaborative and commercial – you’ll have a seat at the table on product and pricing
HOW TO APPLY
Please apply via the link below
To Apply for this Job Click Here
Pricing Modeling Manger
London
£60000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
PRICING MODELLING MANAGER
LONDON- ONCE A WEEK
UP TO £90,000
Join a fast-paced insurtech who are looking for a Pricing Manager who can build commercial pricing models and own the roadmap.
THE ROLE
- Own the development and implementation of pricing models and strategies for travel insurance products- across both risk and retail.
- Champion innovation in pricing methodologies – from GLMs to machine learning and data enrichment- while keeping models clear, explainable, and regulator-friendly.
- Leverage tools like Emblem, Radar, and Radar Live to build, refine, and optimise pricing models that drive commercial results.
- Stay on top of the competition – conduct regular market analysis to assess pricing position and spot opportunities for improvement.
- Create and deliver insightful pricing performance reports, trends analysis, and strategic recommendations to senior stakeholders.
RESPONSIBILITIES
- Commercial experience in pricing – ideally from insurance
- Strong Python skills – able to build models from scratch
- Management experience
HOW TO APPLY
Please apply via the link below
To Apply for this Job Click Here
Proposition and Performance Manager
London
£40000 - £50000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
PROPOSITION AND PERFORMANCE MANAGER
£50,000
LONDON BASED
This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be one of the first hires in this team with the rare opportunity to really take ownership of your work and make an impact.
THE COMPANY
Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, varied role.
THE ROLE
- Commercial Insight: Driving insight and producing MI on product performance and market movements
- Partnership engagement: Working closely with new aggregators and partnerships to elevate product performance
- Journey improvement: working with product on new offerings, looking at consumer duty and customer journeys
- PCW work: Monitor trading performance, working with pricing and digital to align propositions with market need
YOUR SKILLS AND EXPERIENCE:
- Experience with price comparison websites, either within an Aggregator or within Insurance
- Prior experience in driving insight into product performance, partnerships and wider commercial movements
- Good knowledge of digital trading dynamics and conversion metrics
- Strong communication skills and desire to ‘hit the ground running’
SALARY AND BENEFITS
- Up to £50, 000 base salary
- Bonus
- Work abroad scheme
- Contributory pension scheme
- 25 days holiday
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Pricing Manager – Insurance
London
£70000 - £90000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
PRICING MANAGER- INSURANCE
£70-90K DEPENDING ON EXPERIENCE
LONDON BASED
This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects with the rare opportunity to really take ownership of your work and make an impact.
THE COMPANY
Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, analytical role whilst also taking on management of a couple of analysts.
THE ROLE
- End-to-end development of some of their first GBM models across the book
- Develop and implement pricing strategies to enhance business performance
- Analyse large sets of customer data to drive insight and commercial performance across their pricing quotes
- Share insight with the wider team and helping to improve profitability across the business
- Manage a team of 2, helping with their development and progression
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience within UK general insurance
- Essential to have had experience building GLM pricing models, ideally using ML techniques
- Exposure to both retail and risk pricing
- Good knowledge of programming software such as SAS, SQL, Python or R
- Experience managing junior analysts OR proven ability in coaching and leadership
SALARY AND BENEFITS
- Base salary £70-90,000 depending on experience
- Bonus
- Contributory pension scheme
- Work abroad scheme
- Private medical
- 25 days holiday
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Technical Claims Manager
London
£60000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
TECHNICAL CLAIMS MANAGER
£70,000
LONDON BASED
This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be one of the first hires in the Claims team with the rare opportunity to really take ownership of your work and make an impact.
THE COMPANY
Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. You’d be able to work in small team within this hands-on, varied role.
THE ROLE
- Claims MI and Insight: creating reports on their claims data, spotting trends, reporting on this to seniors and making suggestions
- Claims strategy: working on claim strategy and their cost containment, working with pricing on how they price claims
- Journey improvement: working with product on new offerings, looking at consumer duty and customer journeys
- Wider work on case management, stakeholder reporting, policy wording and close collaboration with senior stakeholders
YOUR SKILLS AND EXPERIENCE:
- Experience within travel insurance chat
- Prior experience within claims insurance – either in insights, analytics or wider technical claims work
- Strong communication skills and desire to ‘hit the ground running’
SALARY AND BENEFITS
- Up to £70, 000 base salary
- Contributory pension scheme
- Remote based work with expensed travel
- 25 days holiday
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
To Apply for this Job Click Here
Technical Claims Manager
London
£60000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Technical Claims Manager
Central London | £60,000-£70,000 | Hybrid (1-2 days/week, travel expensed)
Are you a claims professional who wants to shape strategy, improve customer journeys, and influence product design – not just process claims?
A fast-growing travel insurance intermediary, backed by a leading private equity firm is hiring a Technical Claims Manager to drive insight, strategy, and innovation across their claims proposition.
What you’ll be doing:
You’ll work closely with product, pricing, and underwriting teams, taking ownership of:
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Claims MI & Insight: Analyse claims data, spot trends, and present insight to senior leadership
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Claims Strategy: Inform pricing, cost containment, and claims management approaches
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Customer Journey & Product: Identify pain points and opportunities for new offerings under Consumer Duty principles
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Policy & Case Management: Support better stakeholder reporting, case handling, and wording improvements
What they’re looking for:
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Strong experience in claims – ideally with exposure to insight, reporting, strategy, or policy
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Travel insurance experience
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You might come from claims, underwriting, or product, with a strong interest in driving change
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Comfortable working in a scale-up environment: hands-on, collaborative, and project-driven
Why join?
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Big plans: This business is scaling fast, with a 5-year strategy focused on growth and innovation
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Real impact: You’ll work directly with senior leadership and shape the future of their claims function
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Great culture: A genuinely inclusive, roll-your-sleeves-up team – backed by serious investment
The setup:
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£60,000-£70,000 base + benefits
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Hybrid working (1-2 days/week in Central London, travel expensed)
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Reports into the Head of Commercial (placed via us, recently promoted after 9 months!)
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Fast 3-stage interview process
Ready to lead claims strategy at one of the UK’s most exciting insurance scale-ups?
Apply now via Harnham or reach out directly by sending your CV
To Apply for this Job Click Here
CRM Manager
Sheffield
£50000 - £55000
+ Digital Analytics
PermanentSheffield, South Yorkshire
To Apply for this Job Click Here
CRM Manager
Location: Sheffield (Hybrid, 2-3 days per week)
Salary: Up to £55,000
The Company We’re partnered with a fast-growing fintech scale-up focused on making essential services more accessible through innovative payment solutions. Operating across the UK and Europe, they’re transforming how consumers manage unexpected costs. As they expand, they’re investing in CRM to drive customer retention and engagement.
The Role This is a standalone CRM Manager position suited to an ambitious Senior CRM Executive ready to step up. You’ll be the most senior CRM hire in the business, owning and building out lifecycle marketing activity across both B2C and B2B audiences. The role reports into senior leadership and offers significant autonomy and visibility from day one.
Key Responsibilities
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Develop and own CRM strategy and execution across email, SMS, push, and in-app.
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Build and optimise automated customer journeys using Braze and Hubspot.
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Plan and execute lifecycle campaigns to drive customer retention and increase LTV.
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Collaborate with stakeholders across Marketing, Product, and Data.
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Lead A/B testing, reporting, and optimisation of CRM activity.
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Identify and implement segmentation strategies for personalised communications.
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Represent CRM across the business, influencing product and marketing decisions.
Skills & Experience Essential:
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2-3 years experience in CRM or lifecycle marketing.
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Strong understanding of marketing automation, CRM KPIs, segmentation, and A/B testing.
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Hands-on experience with CRM tools such as Braze and/or Hubspot.
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Background in B2C marketing; B2B experience a plus.
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Confident working cross-functionally with commercial and technical teams.
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Comfortable in a fast-paced scale-up environment.
Desirable:
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Experience working as the sole CRM professional or in a small CRM team.
-
Exposure to customer journey mapping and performance analysis.
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Interest in fintech, automotive, or consumer tech sectors.
Benefits
-
Up to £55,000 base salary
-
Hybrid working (2-3 days/week in Sheffield office)
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Opportunity to own CRM strategy and build from scratch
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Fast-growing scale-up with real ownership and visibility
-
Collaborative and ambitious team culture
How to Apply Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.
Keywords CRM Manager, Lifecycle Marketing, Marketing Automation, Braze, Hubspot, Retention, Customer Journey, Email Marketing, B2C Marketing, Fintech, Sheffield Jobs, CRM Strategy
To Apply for this Job Click Here
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News & Blog
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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.
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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:
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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.
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Enhances the improvement of loss prevention and mitigation on the periphery.
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Reduces costs usually by implementing short-term expense reductions.
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Utilizes data at a leisurely pace when it comes to enhancing service experiences.
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Employs data at a relaxed rate when improving service encounters.
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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.
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The principle that carrier and customer success are indistinguishable is fully endorsed by business and operating models.
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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).
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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.
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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.
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Pragmatic Evolution: Insurers adopting this approach orchestrate coverages, services, and support in response to changing customer requirements, offering a flexible and adaptable insurance experience.
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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.
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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.
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Explorations involving interconnected, multifaceted points of engagement, encompassing ecosystems and incorporated insurance.
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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.
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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.
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Ensuring customer retention involves simplifying policy renewal procedures and showing careful consideration regarding the mode and frequency of communication.
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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.
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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.
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Consequently, inclusion is effortlessly integrated into virtually any transaction's point of sale through collaborative alliances and interconnected systems.
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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.
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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.
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