This 12-month contract role is for a Data Analyst embedded in the State Product Management team, focused on driving performance in US Workers' Compensation markets. Reporting to a US-based Product Manager, you will analyze financial and operational data to shape strategic decisions around pricing, underwriting, and profitability across assigned states.
Key Responsibilities
- Monitor financial and operational performance across designated US states, tracking metrics such as loss ratio, premium growth, retention, exposure trends, and profitability
- Identify trends, performance variances, and strategic opportunities through data analysis
- Deliver clear, actionable insights to product leadership and stakeholders
- Support the creation of state-level business reviews and performance reporting packages
- Develop and maintain analytical models to assess the impact of rate changes, underwriting adjustments, product positioning, and competitive dynamics
- Conduct in-depth analysis of performance drivers, including frequency, severity, loss ratios, portfolio mix, and external market factors
- Prepare data-backed recommendations for state strategy discussions
- Propose initiatives to enhance profitability or drive growth in target states
- Measure and report on the effectiveness of implemented strategies over time
- Write and execute data queries using SQL or similar tools to analyze large-scale insurance datasets covering production, premium, loss, exposure, rate, and retention
- Build dashboards and automated reporting tools to streamline performance tracking
- Ensure data accuracy and consistency across all analytical outputs
- Collaborate with business development, data science, actuarial, underwriting, compliance, and technology teams on state-specific product initiatives
- Participate in regular meetings during US business hours
- Contribute to process improvements that accelerate insight delivery and analytical quality
- Grow expertise in Workers' Compensation regulatory environments and state-specific market dynamics
- Take increasing ownership of analysis and strategic input as experience deepens
Required Qualifications
- Bachelor’s degree in a quantitative field such as Mathematics, Actuarial Science, Statistics, Finance, or Economics
- OR at least two years of professional experience in a quantitative analytics role
- Minimum of two years independently leading analytical projects — from defining business questions to delivering data-driven recommendations
- Intermediate to advanced proficiency in SQL, with the ability to write complex queries from scratch
- Professional fluency in English (C1/C2 level)
- Strong communication skills, both written and verbal, in English
- Ability to distill complex data into clear, business-ready insights
- Capacity to work consistently during US business hours
- Experience working independently in a remote, globally distributed setting
Preferred Qualifications
- Background in insurance, actuarial science, or financial services
- Experience with Snowflake or similar cloud data platforms
- Familiarity with Looker, Tableau, or Power BI for data visualization
- Proficiency with Python or R for data analysis
- Exposure to advanced analytical methods such as statistical modeling, regression, or predictive analytics
- Project experience applying quantitative techniques to solve real-world business challenges
Technical Environment
SQL, Snowflake, MS SQL Server, Oracle, Postgres, MySQL, Redshift, Looker, Tableau, Power BI, Python, R
Work Arrangement
This role is fully remote with a preference for candidates based in Buenos Aires, Argentina. You must be available to work during US business hours on a consistent basis.
Company Context
The team brings together builders, innovators, and problem-solvers committed to transforming commercial insurance through technology. The mission centers on empowering small businesses by reimagining how insurance works. Core values guide decision-making, collaboration, and long-term growth across a diverse, global organization.
