Role Overview
This contract position supports product strategy and underwriting operations through data analysis, reporting, and system evaluation. Reporting to the Director of Corporate Underwriting, the Data Analyst collaborates closely with Product Managers to assess portfolio performance, refine automated decisioning, and guide regulatory submissions.
Key Responsibilities
- Develop and manage interactive dashboards in Looker to monitor portfolio trends in growth, retention, profitability, and risk exposure.
- Query and analyze data using SQL to detect patterns, risks, and opportunities across underwriting and pricing functions.
- Diagnose inconsistencies in metrics across platforms, identifying root causes related to definitions, processes, or system behavior.
- Summarize portfolio performance for leadership review, ensuring clarity and data integrity.
- Validate reporting outputs through structured data checks and logic reviews.
- Evaluate the effectiveness of automated underwriting rules, measuring impact on approval rates, risk selection, and workflow efficiency.
- Apply hypothesis-driven analysis to interpret data, distinguishing between observed outcomes and inferred conclusions.
- Support testing and validation of underwriting system updates before and after deployment.
- Model the expected impact of rule changes using scenario analysis and historical data.
- Identify opportunities to reduce manual intervention by improving automation logic.
- Compare pricing competitiveness using ISO data, competitor filings, and market benchmarks across states and segments.
- Examine conversion metrics to uncover potential in underserved markets or industries.
- Track competitor actions and market shifts to inform product positioning.
- Contribute to economic modeling efforts to align pricing with distribution needs.
- Assist in preparing documentation for regulatory rate, rule, and form changes.
- Monitor filing timelines and coordinate implementation of approved changes in policy systems.
- Maintain records of state-specific compliance requirements.
- Align with Pricing & Analytics teams on shared methodologies and reporting standards.
- Provide analytical support to Quality & Training initiatives, including audit follow-up and program development.
- Respond to strategic data requests across departments.
Required Qualifications
- Bachelor’s degree in Mathematics, Statistics, Finance, Economics, Actuarial Science, or equivalent quantitative field; or at least two years in a data-intensive analytical role.
- Minimum of two years of experience in data analysis, business intelligence, reporting, or insurance operations.
- Strong working knowledge of SQL.
- Proficiency in English at C1/C2 level.
- Availability to work during U.S. business hours on a regular basis.
- Proven ability to operate independently in a remote, global setting.
- Demonstrated skill in diagnosing data issues, testing hypotheses, and presenting findings clearly to technical and non-technical stakeholders.
- Adaptability in fast-moving environments with comfort navigating ambiguity.
- Effective written and verbal communication, with experience using Slack, Google Workspace, and video conferencing tools.
Preferred Qualifications
- Background in property and casualty (P&C) insurance, especially in underwriting, product development, or pricing.
- Experience with Snowflake or Looker.
- Familiarity with Tableau or Power BI is acceptable in place of Looker.
- Exposure to MS SQL Server, Oracle, Postgres, MySQL, or Redshift.
- Practical application of statistical modeling, regression, or predictive analytics in academic or professional projects.
- Hands-on experience using quantitative methods to solve business challenges.
Technical Environment
Looker, SQL, Snowflake, MS SQL Server, Oracle, Postgres, MySQL, Redshift, Tableau, Power BI, ISO tools
Work Arrangement
This role is fully remote with a preference for candidates based in Buenos Aires, Argentina. The position requires alignment with U.S. business hours. The team operates globally, emphasizing flexibility and asynchronous collaboration.
