
Data Analyst – Data Excellence
Posted Jul 21

Posted Jul 21
This is a fully remote position, open to applicants in Poland.
• Spearhead analytical initiatives to foster data-driven decision-making throughout the organization.
• Collect, analyze, and effectively visualize and present technical insurance data.
• Partner with data engineering, insurance product, claims, finance, and operations teams to enhance data integrity and streamline reporting capabilities using VBA, SQL, and Python.
• Convert intricate insurance data into clear and engaging insights for both technical and non-technical audiences through necessary reporting and data visualization.
• Perform in-depth data analysis, create analytical tools, provide tailored solutions to assist other departments in automating their workflows, and identify opportunities to improve business performance and operational efficiency.
• Offer ad hoc analytical support and research as needed to ensure Ledgebrook maintains data-driven precision in its operations.
• Strong expertise in SQL and Excel (preferably including VBA and Power Query).
• Familiarity with Power BI or other BI tools (e.g., Tableau, Looker).
• Experience with or proficiency in programming languages (e.g., Python, R).
• Background in modern databases, ideally with Snowflake.
• Knowledge of Power Automate and Power Apps, DataGrip / Cursor, and Jira would be advantageous.
• Ability to translate complex data into actionable business insights.
• Exceptional communication and presentation skills to work collaboratively with stakeholders across the organization.
• Experience navigating a startup environment that is fast-paced and characterized by uncertainty.
• Preferable: Experience with Property, Specialty, or Casualty insurance data, and a strong interest in AI and ML tools.
• 100% Remote Work
• Unlimited Paid Time Off
• Private Healthcare (Lux Med)
• Helping Hand Program
• Meaningful Equity
• High-Growth Startup Environment
• Exposure to the U.S. Insurance Market
• Career Growth Opportunities
• International Team & Cross-Border Collaboration
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