
Data Analyst
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in United States.
• Analyze intricate data sets associated with the Claims Department's operations and deliver data-centric insights.
• Examine and interpret data, discern trends and patterns, and offer insights that influence business strategies.
• Create reports, dashboards, and visual representations that convey complex data in a clear and concise manner.
• Collaborate with claims leadership to uncover opportunities and provide essential data support.
• Work alongside Claims departments and other corporate divisions, including Product, Underwriting, and IT Domain Teams, to implement effective solutions.
• Assist in claims projects utilizing expertise in business-area processes and best practices.
• Extract data from multiple sources and prepare it for thorough analysis.
• Ensure data accuracy and modify data retrieval methods when required.
• Generate reports, graphs, and charts grounded in research and analysis.
• Offer recommendations and insights to leadership based on identified data trends.
• Aid in predicting future claims activity and strategizing for potential risks.
• Act as a point of contact for basic reporting needs, issues, and on-demand reporting.
• Engage with subject matter experts and leadership to comprehend claims operations, processes, and KPIs.
• Develop presentations that outline identified issues and propose potential solutions.
• Construct spreadsheets and visual tools for management's use.
• Share findings and recommendations during management meetings as necessary.
• Coordinate and execute reporting utilizing Guidewire Database, NextGen Database, and Enterprise Data Warehouse.
• Guide and assist underwriting users and leaders in determining data required for reporting.
• Maintain regular full-time attendance of at least 8 hours daily and 40 hours weekly.
• Execute other assigned tasks.
• A Bachelor’s degree in an analytical field such as mathematics, statistics, or engineering.
• Training in SQL.
• A Master’s degree is necessary in lieu of work experience.
• A minimum of 3 years of experience related to insurance, preferably in an analytical capacity, or a comparable combination of education and experience.
• Advanced SQL proficiency is essential.
• Familiarity with PowerBI and other data visualization tools is required.
• Experience with Python and/or R is advantageous.
• Strong understanding of statistics and general model building/validation procedures is required.
• Excellent data handling skills and capability to work with large datasets.
• Strong problem-solving abilities are essential.
• Proficient analytical and critical thinking skills are required.
• High attention to detail and accuracy is necessary.
• Exceptional written and verbal communication skills are required.
• Professional communication skills and the ability to present findings on underwriting data projects.
• Ability to deliver quality work under tight deadlines while managing multiple projects simultaneously.
• Capability to work effectively in a team environment.
• Flexibility to work varied schedules and travel as needed, possibly including overnight or weekend stays.
• Must adhere to the Company’s privacy policy due to the sensitive nature of the information handled.
• Competitive salary.
• Flexibility to work remotely from anywhere in the United States for most roles.
• Paid time off, including vacation, sick leave, 9 paid Company holidays, and volunteer hours.
• Incentive bonus programs, including potential holiday bonuses, referral bonuses, and performance-based bonuses.
• Comprehensive medical, dental, vision, life, and pet insurance.
• 401(k) retirement savings plan with company matching.
• A dynamic and engaging work environment.
• Opportunities for advancement.
• Education assistance available.
• Professional and personal development opportunities offered.
• Company recognition program.
• Health and wellness resources, including complimentary mental well-being therapy/coaching sessions, child and elder care resources, and more.
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