Root Inc. · 3 hours ago

Lead Analyst I, LTV

Columbus, OH

Full-time

Remote

Mid, Senior Level

$120K/yr - $150K/yr

5+ years exp

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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

Qualification

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Analytics experienceSQLBI softwareMachine learningData visualizationPythonGitInsurance experience

Required

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

Embody best practices through automation and by leaning into reproducible processes

Ability to set quarterly goals and independently assess strategic options within familiar domains

Experience assessing machine-learning model performance and conducting root cause analysis