At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL).

We’re proud to be a diverse company and to have expertise from multiple industries driving our culture. At-Bay is expanding rapidly, and as we grow, we’re prioritizing inclusive hiring practices and supportive team environments. We’re committed to building a company culture where people of all identities and backgrounds are empowered to thrive, develop their career, and bring their full self to work.

At-Bay is a globally distributed company with hubs in Atlanta, New York City, San Francisco, and Tel Aviv. To date, we have raised $292 million in funding from Acrew Capital, Glilot Capital, Icon Ventures, ION Crossover Partners, Khosla Ventures, Lightspeed Venture Partners, M12, entrepreneur Shlomo Kramer, and Qumra Capital.

At-Bay’s Business Analytics team ensures that our decision-making is grounded in the facts of our business and the markets we operate in. We support our executive team and business leaders across all revenue-generating activities. Using a comprehensive toolset of advanced analytics skills and models, we identify shifts in market and growth performance and translate these insights into actionable decisions for the company.

Role overview:

You will be part of the Business Analytics team, delivering high-quality output and managing analytics projects independently. As a senior business analyst within the broader analytics community, you will collaborate with other leaders across the enterprise to enhance our ability to deliver insights consistently, quickly, and accurately. Additionally, you will establish processes to ensure our portfolio of analytics products remains consistent and clear.

How you’ll make an impact:

By 3 months you will…

• Understand our business – how our products, services, distribution, technology stack, and partners serve our customers through insurance and security.
• Establish relationships with colleagues and understand the roles and functions of the broader analytics and business teams
• Develop autonomy and familiarity in navigating our data stack and analytics to generate essential insights.
• You’ll start performing analyses to inform and support strategic decision-making, balancing growth and profitability.

By 6 months you will...

• You’ll have working relationships with key stakeholders and start collaborating to share insights and identify opportunities to drive material impact on the portfolio
• Regularly partner with our go-to-market, technology, insurance, security services, and other teams to improve our products and processes
• Demonstrate your ability to use analytics to generate insights and drive executive conversations on steps we can take to improve business performance
• Propose data-driven improvements to processes or business practices based on your analysis
• Establish yourself as a reliable team member, capable of handling core responsibilities independently and contributing valuable insights

What you’ve accomplished already:

• Bachelor's Degree or higher in Mathematics, Actuarial Science, Statistics, Data Science, or a related field
• Led multiple analytics projects from requirements definition to final synthesis. Previous insurance experience not required but is a plus
• Engaged all levels of stakeholders (frontline to senior exec) in presenting findings and problem-solving
• Helped organizations translate ambiguous problem statements into concrete recommendations
• Experience with using SQL to conduct data manipulation, including cleaning/transforming/creating data
• Experience with using Python for various forms of analyses, including building models, running automated processes, data cleaning
• Demonstrated the ability to deliver explainable models and analytics products that leverage an analytics tech stack (Snowflake/SQL, Python/R, Tableau/Looker, Excel, etc)