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. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office.
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.
This is a high-impact role suited for someone who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about leveraging data to shape the future of insurance.
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. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.
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. If you require any reasonable accommodation, please let us know when you apply.
