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- Tasks: Transform complex insurance data into actionable insights for strategic decisions.
- Company: Join Ascent, a leader in digital transformation and innovative data solutions.
- Benefits: Enjoy a hybrid work model, professional development, and well-being support.
- Why this job: Make a real impact by guiding business performance with your analytical expertise.
- Qualifications: Experience in data analysis and knowledge of the insurance industry required.
- Other info: Collaborative culture with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Data Insurance Analyst role at Ascent
Data Engineering function hiring in: United Kingdom
Engagement Option(s): Full Time
Work Preference Option(s): Hybrid model | Work from Office | Work from Home
For this role, you need to be based in London and available to go to the office twice a week.
About Us
We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.
We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.
We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!
At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices.
About The Role
As a Senior Data Insurance Analyst, you will play a key role in transforming complex insurance data into meaningful insights that guide strategic decisions and improve business performance. You will collaborate with cross-functional teams—including underwriting, claims, finance, and product development—to analyze large datasets, identify trends, and develop actionable recommendations.
This role requires a blend of advanced analytical expertise, insurance industry knowledge, and strong communication skills to deliver insights that drive growth, efficiency, and risk management.
You will be responsible for designing and implementing data models, performing predictive and trend analyses, and ensuring data quality and integrity across multiple sources. Acting as a trusted advisor, you will provide data-driven recommendations to senior stakeholders, mentor junior analysts, and contribute to the development of innovative solutions that enhance underwriting accuracy, claims efficiency, and customer experience.
Key Responsibilities
- Collaborate daily with business SMEs and senior data engineers to translate business needs into scalable data solutions.
- Identify and source the most reliable enterprise data to support reporting, analytics, and application consumption requirements.
- Define data transformation and normalization logic prior to engineering and pipelining for source, medallion, and model target layers.
- Partner with data engineers to design and co-define data models optimized for business consumption and analytical use cases.
- Work closely with the Product Owner and Lead Data Engineer to shape and prioritize the engineering backlog, ensuring alignment with business objectives and technical feasibility.
- Apply prior knowledge and experience in working with the following data and tech: Lloyds syndicate specialty insurance data & Azure Databricks to accelerate data migrations.
Working at Ascent
At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches.
Your development and learning will be taken seriously, and we\’ll support your professional development with training and certification, with regular feedback and review.
Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status.
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Senior Data Insurance Analyst employer: Ascent
Contact Detail:
Ascent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Insurance Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Ascent. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of how you've transformed data into actionable insights in your previous roles. This is your time to shine!
✨Tailor Your Approach
Before any interview, do your homework on Ascent and the role. Understand their projects and challenges, and think about how your experience with Lloyds syndicate specialty insurance data can add value. Tailoring your pitch shows you're genuinely interested.
✨Follow Up with Flair
After an interview, send a thank-you note that highlights something specific from your conversation. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, it’s a great way to reiterate your fit for the Senior Data Insurance Analyst position!
We think you need these skills to ace Senior Data Insurance Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Insurance Analyst role. Highlight relevant experience, especially in data analysis and the insurance industry. We want to see how your skills align with what we do at Ascent!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our mission at Ascent. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical expertise. Mention specific tools or methodologies you've used in the past, especially those related to data modelling and predictive analysis. We’re keen on seeing how you can transform complex data into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Ascent
✨Know Your Data Inside Out
As a Senior Data Insurance Analyst, you'll be dealing with complex datasets. Make sure you brush up on your knowledge of Lloyds syndicate specialty insurance data and Azure Databricks. Be ready to discuss how you've used these tools in past roles and how they can be applied to the challenges at Ascent.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical expertise during the interview. Bring examples of previous projects where you transformed data into actionable insights. Highlight your experience in predictive and trend analyses, and be ready to explain your thought process behind your recommendations.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with cross-functional teams. Consider doing mock interviews with friends or colleagues to refine your delivery and ensure you're conveying your ideas effectively.
✨Understand Ascent's Mission and Values
Familiarise yourself with Ascent's mission to connect data, software, and purpose. Think about how your skills and experiences align with their goals of digital transformation and enhancing customer experience. This will show your genuine interest in the company and help you stand out as a candidate who fits their culture.
