Analyze service delivery performance and operational health metrics to uncover drivers of efficiency, quality, and customer impact.
Develop performance dashboards and KPI frameworks that enable leaders to monitor trends and evaluate business outcomes.
Analyze large datasets to identify trends, anomalies, and root causes; translate findings into clear, actionable recommendations.
Work through a robust backlog by independently prioritizing work, managing deadlines, and delivering high-quality outputs.
Lead requirements-gathering sessions with business partners; document user stories, acceptance criteria, and measurement definitions.
Drive conversations with stakeholders across the enterprise to clarify objectives, align on scope, and ensure successful delivery.
Leverage an understanding of data structures and architecture to troubleshoot data issues and partner with engineering teams.
Create and deliver polished, data-driven presentations tailored for senior leadership, translating complex analytical insights into business impact.

5+ years of experience in data analytics, business intelligence, or performance measurement roles.
Expert-level proficiency with Snowflake, SQL, Tableau Desktop/Server, Tableau Prep, Excel, and PowerPoint.
Experience working with messy datasets, validating data, and performing complex analysis.
Familiarity with data structures, architecture concepts, and data engineering workflows.
Proven ability to analyze large datasets and convert insights into clear business recommendations.
Exceptional executive communication and data storytelling skills.
Experience with requirements gathering and structured documentation.
Demonstrated ability to prioritize work, communicate proactively, and keep stakeholders aligned.
Familiarity with Agile/Kanban methodologies and tools (e.g., Rally) is strongly preferred.
Experience in insurance, risk engineering, or related fields is preferred but not required.

Senior Data Analyst – Risk Services Insights

Key skills