Home Services Data Analyst (Emerging Tech)

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Home Services Data Analyst on our Home Services team. Emerging technologies (e.g. IoT, AR/VR, AI, etc.) represent untapped sources of data that can be leveraged to drive a diverse portfolio of loss prevention and monitoring initiatives which broaden the role SageSure plays in helping its policyholders increase their confidence and peace of mind in homeownership and avoid disruptive damage and unexpected costs. In this role, you will be focused on monitoring and loss prevention data analysis, transformation, curation, and visualization to derive insights that shape SageSure’s loss mitigation strategy.  These insights will further SageSure's commitment to assisting policyholders in home maintenance, bolstering their confidence in homeownership, and mitigating unforeseen damages and costs.  

What you’d be doing: 

• Transform, analyze, and visualize third-party partner data received through APIs to identify patterns, trends, and anomalies related to risk exposure and loss prevention.  
• Develop predictive models and algorithms that help assess future risks and enhance SageSure’s loss monitoring and prevention strategies using emerging technologies.  
• Conduct ad hoc data analyses to support the development of new business opportunities for SageSure Home Services, including revenue generation beyond conventional home insurance boundaries.  
• Investigate bulk and individual claims data to identify key knowledge gaps and opportunity areas for loss mitigation through home services offerings. 
• Collaborate with internal teams, such as Software, Data Management, Underwriting, and external stakeholders to execute initiatives and manage partner relationships. 

We’re looking for someone who has: 

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related field.  
• 3+ years of experience in data science, predictive analytics, or related fields, with a focus on working with large datasets and APIs.  
• Proficiency in common statistical data analysis and modeling techniques and/or experience with tools Python, R, SQL, and exposure to machine learning algorithms.  
• Experience with APIs and integrating third-party data sources.  
• Strong verbal and written communication skills, with the ability to apply critical thinking across various disciplines. 
• Ability to work both independently and collaboratively within a team.  

Highly preferred candidates also have: 

• Prior experience working within a P&C insurance company or entity serving the insurance industry. 
• Prior working experience within a home service-related role. 
• Prior experience with emerging technologies (IoT, AR/VR, AI, Web3, etc).