Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
- Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks. Recommend and implement actionable insights that drive measurable results.
- Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, data science approaches, and financial impact analysis, ensuring best practices are followed.
- Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies.
- Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency.
- Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders.
- Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks.
- Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact.
Requirements
- 8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments.
- 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals.
- 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
- 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact.
- 4+ years of progressive experience in healthcare analytics (preferred).
- 8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark).
- Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.
- Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics.
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field.
Benefits
- base salary
- stock awards
- comprehensive healthcare coverage
- monthly wellness stipend
- retirement savings match
- lifetime Headspace membership
- generous parental leave
- more
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