Business Analyst - At-Bay

Position Overview

At-Bay is seeking a talented Business Analyst to join our dynamic Business Analytics team. This role is crucial in grounding At-Bay's decision-making in factual business and market data. You will support executive leadership and business leaders across all revenue-generating activities. By leveraging advanced analytics skills and models, you will identify shifts in market and growth performance, translating these insights into actionable decisions that influence At-Bay's trajectory.

About At-Bay

At-Bay is the world's first InsurSec provider, uniquely positioned to help businesses combat cyber risk. We integrate industry-leading insurance with world-class cybersecurity technology, offering comprehensive prevention and protection for the digital age. Our solutions are particularly vital for small and mid-size businesses (under $2B in revenue), which account for 98% of cyber insurance claims in the past five years. At-Bay empowers over 40,000 customers to bridge their security technology and skills gaps through their cyber insurance policies, making them significantly less likely to experience ransomware attacks. As a full-stack insurance company, At-Bay offers various specialty insurance lines, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL).

Why Join Our Business Analytics Team?

The Business Analytics team at At-Bay is instrumental in ensuring our strategic decisions are data-driven. We provide critical support to our executive team and business leaders, focusing on all revenue-generating activities. Our team utilizes a comprehensive toolset of advanced analytics skills and models to pinpoint market trends and growth performance, converting these findings into actionable strategies for the company.

Role Overview

As a Business Analyst on the Business Analytics team, you will be responsible for delivering high-quality output and independently managing analytics projects. You will collaborate with other leaders across the enterprise to enhance our ability to deliver insights consistently, quickly, and accurately. A key aspect of this role will be establishing processes to ensure our portfolio of analytics products remains consistent and clear.

How You'll Make an Impact

By 3 Months:

• Gain a comprehensive understanding of At-Bay's business, including our products, services, distribution channels, technology stack, and partner ecosystem, and how they serve our customers through insurance and security.
• Establish strong working relationships with colleagues and understand the roles and functions of the broader analytics and business teams.
• Develop autonomy and familiarity with our data stack and analytics tools to generate essential insights.
• Begin performing analyses to inform and support strategic decision-making, balancing growth and profitability.

By 6 Months:

• Cultivate working relationships with key stakeholders, collaborating to share insights and identify opportunities for significant portfolio impact.
• Regularly partner with go-to-market, technology, insurance, security services, and other teams to enhance our products and processes.
• Demonstrate the ability to use analytics to generate insights and drive executive conversations on improving business performance.
• Propose data-driven improvements to processes or business practices based on your analyses.
• Establish yourself as a reliable team member, capable of handling core responsibilities independently and contributing valuable insights.

What You've Accomplished Already:

• Hold a Bachelor's Degree or higher in Mathematics, Actuarial Science, Statistics, Data Science, or a related quantitative field.
• Proven experience leading multiple analytics projects from requirements definition through to final synthesis. Previous insurance experience is a plus but not required.
• Skilled in engaging stakeholders at all levels (frontline to senior executives) for presenting findings and problem-solving.
• Experience helping organizations translate ambiguous problem statements into concrete, actionable recommendations.
• Proficiency in using SQL for data manipulation, including cleaning, transforming, and creating data.
• Experience using Python for various analytical tasks, such as building models and running automated processes, including data cleaning.
• Demonstrated ability to deliver explainable models and analytics products utilizing an analytics tech stack (e.g., Snowflake).

Salary

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Location Type

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Employment Type

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