Lead Analyst I, Lifetime Value

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Requirements:

• 5+ years of work experience in analytics (prior insurance experience preferred).
• Expertise in SQL and BI software (Tableau, Mode, Power BI, etc.).
• Bachelor’s degree in Mathematics, Statistics, Computer Science, or another quantitative field.
• Superior problem-solving skills with the ability to think strategically and innovatively.
• Exceptional written and oral communication; able to effectively collaborate with and present materials to Director and VP levels, strong data visualization skills.
• Detail-oriented; able to multitask across multiple domains; consistently maintains rigorous documentation.
• Roll-up-the sleeves work ethic and 'do-what-it-takes' attitude to efficiently execute and drive results in a fast-paced work environment.
• Ability to set quarterly goals and independently assess strategic options within familiar domains.
• Experience assessing machine-learning model performance and conducting root cause analysis.

Responsibilities:

• Monitor the accuracy of ML model projections by building dashboards and new monitoring frameworks.
• Analyze projections to identify and diagnose discrepancies between forecasted and actual performance.
• Drive model improvements by conducting feature research and enhancing SQL-based forecasting methods.
• Provide weekly and monthly business updates to senior leadership on model performance.
• Contribute to stakeholder-facing dashboards and disseminate high-level findings.
• Minimize human-in-the-loop systems by automating repetitive tasks.
• Enhance anomaly detection systems to inform the team of model performance concerns and spur timely remediation.
• Work cross-functionally to answer ad hoc questions regarding model performance and anomalies.
• Work with data scientists and engineers to build and maintain rigorous model testing methodologies.
• Identify opportunities to introduce or improve analytical methodologies to drive value.
• Build strong relationships with cross-functional partners to maintain alignment and awareness across initiatives.