AI-Augmented Data Analyst

As an AI-Augmented Data Analyst , you will make an impact by transforming complex data into actionable insights that support better decision‑making across underwriting, claims, finance, and operational functions. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, and technology partners to deliver advanced analytics solutions that improve business outcomes, operational efficiency, and customer experiences.

This role combines traditional analytics expertise with emerging AI‑assisted analytical techniques to accelerate insight generation while maintaining the highest standards of accuracy, governance, and data quality.

• Develop and optimize analytical solutions using Snowflake SQL and modern data analysis tools to support enterprise reporting and decision‑making.
• Perform exploratory data analysis on large structured and semi‑structured datasets to identify trends, risks, opportunities, and performance drivers.
• Build and maintain analytical datasets, data marts, and reporting assets that support business intelligence and advanced analytics initiatives.
• Collaborate with business stakeholders to translate business questions into measurable analytical solutions and actionable recommendations.
• Apply AI‑augmented analytics techniques to improve data exploration, pattern recognition, and insight generation while ensuring results are accurate, transparent, and business‑relevant.
• Develop reports, dashboards, visualizations, and presentations that communicate complex findings to both technical and non‑technical audiences.
• Implement data quality controls, validation routines, and reconciliation processes to maintain trusted analytical assets.
• Document business rules, data lineage, analytical methodologies, and reporting logic to support governance and knowledge sharing.
• Partner with data engineering teams to improve data availability, integration, performance, and analytic readiness.
• Support ad hoc analytical requests related to portfolio performance, operational effectiveness, customer behavior, and business strategy.
• Promote responsible, ethical, and compliant use of data and AI‑assisted analytics technologies.

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants within the Eastern Time Zone (EST) . While Hartford, CT is the preferred location, qualified remote candidates located within EST will also be considered.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

• 6+ years of experience in Data Analytics, Business Intelligence, Data Analysis, or related disciplines.
• Strong expertise in Snowflake SQL, query optimization, and analytical data modeling.
• Experience performing exploratory data analysis, trend analysis, statistical analysis, and business performance assessments.
• Hands‑on experience developing analytical datasets, reports, dashboards, and business intelligence solutions.
• Experience working with structured and semi‑structured data in cloud‑based analytics environments.
• Strong understanding of data quality, reconciliation, validation, and governance practices.
• Experience collaborating with business stakeholders to gather requirements and deliver data‑driven recommendations.
• Excellent analytical, problem‑solving, communication, and presentation skills.
• Ability to work independently in a distributed team environment while managing multiple priorities.