At a Glance
- Tasks: Lead data enrichment initiatives and explore innovative solutions with a dynamic team.
- Company: Join a forward-thinking analytics department in the insurance industry.
- Benefits: Enjoy hybrid working, generous leave, bonuses, and exclusive discounts.
- Other info: Embrace a culture of continuous learning and professional growth.
- Why this job: Make a real impact by driving data-driven decisions and strategies.
- Qualifications: Strong analytical skills, management experience, and proficiency in data tools required.
The predicted salary is between 36000 - 60000 £ per year.
Understand all the data currently available; highlight concerns and generate new rating factors.
Work with internal stakeholders and suppliers to explore new data enrichment opportunities (DPIA, contracts, invoices, etc.).
Fully understand every aspect of the premium calculation; understand how RADAR and rate changes in RADAR work.
Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team's work.
Promote a culture of continuous learning, encourage the exploration of innovative data-driven solutions.
Identify leaks, question everything, think outside the box.
What you’ll need:
- Strong management and mentoring skills to develop a high-performing team of pricing professionals.
- Strong analytical mindset.
- Logical thinker.
- Question everything; search for innovative new solutions.
- Passion for data-driven decisions.
- Underwriting experience.
- Proficiency in pricing techniques, statistical modelling, and predictive analytics.
- Knowledge of the insurance market and competitive dynamics.
- Commercial awareness and drive for practical outcomes.
- Comprehensive understanding of the motor insurance industry, its regulatory environment, and market trends.
- Ability to develop long-term pricing strategies that balance customer satisfaction, profitability, and market competitiveness.
- Exceptional capability to interpret and synthesize large and complex datasets into actionable pricing recommendations.
- Advanced knowledge of tools such as RADAR, Python, R, SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI).
- Strong cross-functional collaboration.
- Good communication skills; ability to present complex data insights clearly and persuasively to both technical and non-technical audiences (both in writing and verbal).
- Desire and capability of strategic planning.
- Strong prioritization and delegation skills.
- Deep knowledge of statistical methods and general insurance pricing methods and techniques.
- Stakeholder management skills.
- Programming skills.
- Deep knowledge and understanding of data science/mathematics (at least one area) would be an advantage.
Our Benefits:
- Hybrid working – 2 days in the office and 3 days working from home.
- 25 days annual leave, rising to 27 days over 2 years’ service and 30 days after 5 years’ service. Plus bank holidays!
- Discretionary annual bonus.
- Pension scheme – 5% employee, 6% employer.
- Flexible working – we will always consider applications for those who require less than the advertised hours.
- Flexi-time.
- Healthcare Cash Plan – claim cashback on a variety of everyday healthcare costs.
- Electric vehicle – salary sacrifice scheme.
- 100’s of exclusive retailer discounts.
- Professional wellbeing, health.
Data Enrichment Manager employer: Somerset Bridge
Join a forward-thinking company in Bristol that values innovation and employee growth, offering a dynamic work culture where data-driven decisions shape the future. As a Senior Analyst in the Data Enrichment team, you'll enjoy hybrid working, generous annual leave, and a range of benefits including a healthcare cash plan and enhanced parental leave, all while contributing to impactful projects that enhance commercial performance and customer value.
StudySmarter Expert Advice🤫
We think this is how you could land Data Enrichment Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its data practices. Be ready to discuss how your skills in data enrichment and analytics can bring value to their team. Show them you’re not just another candidate!
✨Tip Number 3
Don’t shy away from showcasing your projects! Whether it’s a personal project or something from your previous job, having tangible examples of your work with data science and analytics can really set you apart.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Enrichment Manager
Some tips for your application 🫡
Know the Role Inside Out:Before you start writing your application, make sure you fully understand the Data Enrichment Manager role. Dive into the job description and highlight the key responsibilities and skills required. This will help you tailor your application to show how you fit the bill.
Show Off Your Skills:When you're crafting your application, don’t hold back on showcasing your analytical mindset and experience in pricing techniques. Use specific examples from your past work to demonstrate how you've tackled similar challenges and contributed to data-driven decisions.
Be Clear and Concise:We love a good story, but when it comes to applications, clarity is key! Make sure your writing is straightforward and easy to follow. Avoid jargon unless it’s relevant, and keep your sentences short and to the point to make a strong impression.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Somerset Bridge
✨Know Your Data Inside Out
Before the interview, make sure you thoroughly understand the data currently available in the role. Familiarise yourself with the premium calculation process and how RADAR works. This will not only help you answer questions confidently but also show your genuine interest in the position.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used analytical techniques in past roles. Be ready to explain your thought process when identifying new data enrichment opportunities or solving complex problems. This will demonstrate your strong analytical mindset and logical thinking.
✨Communicate Clearly and Effectively
Practice presenting complex data insights in a clear and persuasive manner. Whether it's through mock interviews or explaining concepts to a friend, honing your communication skills will be crucial, especially since you'll need to convey information to both technical and non-technical audiences.
✨Embrace Continuous Learning
Highlight your passion for staying updated on advancements in data science and machine learning. Share any recent courses, webinars, or articles you've engaged with. This shows that you're proactive about your professional development and ready to bring innovative solutions to the team.
