Senior Analyst - Data Enrichment

Department: [SBISL] Data Enrichment

Employment Type: Permanent - Full Time

Location: Bristol

Compensation: £68,000 - £75,000 / year

Description

What you'll be responsible for:

• Design and deploy data-driven solutions to drive business improvement
• Understand all the data available; highlight concerns & propose solutions
• Identify opportunities to harvest value from existing or new data sources; generate new rating factors 
• Present and visualize data insights to stakeholders 
• Work with internal stakeholders and suppliers to explore new data enrichment opportunities (DPIA, contracts, invoices, etc.)
• Collaborate with IT, Data Engineering and other teams to ensure data infrastructure and pipelines are compliant, robust, scalable, and secure
• Stay informed on market developments, competitor activity, and emerging trends; react if/as necessary
• Deliver a steady flow of high-quality rate change proposals, oversee deployment of approved rate changes
• Document rate changes, models, processes, and analytical methodologies for transparency and audit purposes
• Liaise with other teams (Trading, Finance, and operational teams, etc.) to highlight predicted impact of rate changes
• Always keep customers in mind to ensure good value to customers, with extra attention to vulnerable customers
• 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
• Mentor junior data scientists and provide expert advice to team members
• Identify leaks & opportunities and propose pricing adjustments to improve performance
• Identify, report, and action breaches and pricing errors
• Ensure compliance with all relevant regulatory requirements and industry standards in pricing strategies and practices
• Promote data governance best practices, ensuring data integrity, quality, and security in all pricing activities

What you'll need:

• Analytical mindset, logical thinker
• Question everything; search for innovative new solutions
• Passion for data driven decisions
• Proficiency in pricing techniques, statistical modelling, and predictive analytics
• Knowledge of the insurance market
• Commercial awareness and drive for practical outcomes
• Comprehensive understanding of the motor insurance industry, its regulatory environment, and market trends
• Exceptional capability to interpret and synthesize large and complex datasets into actionable pricing recommendations
• Advanced knowledge of coding (Python, R, SQL) and data visualization platforms (e.g., Tableau, Power BI)
• Great 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)
• Excellent Stakeholder management skills

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 & fitness app - Wrkit
• Enhanced parental leave, including time off for IVF appointments
• Religious bank holidays – if you don’t celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year.
• Life Assurance - 4 times your salary
• 25% Car Insurance Discount
• 20% Travel Insurance Discount
• Cycle to Work Scheme   
• Employee Referral Scheme
• Community support day