Data Analyst Claims

Mercury Insurance Services, LLC•Remote,
•$62,860 - $142,213

About The Position

Under general supervision, the Data Analyst Claims interprets complex data sets related to Claims Department operations and provides data-driven analysis to support business decisions. The role analyzes data, identifies trends and patterns, and uses statistical knowledge and analytical tools to create reports, dashboards, graphs, charts, and visualizations that clearly present findings. The analyst works with claims leaders and independently to identify opportunities, supports claims projects, and collaborates with Claims teams and other company divisions—including Product, Underwriting, and IT Domain Teams—to develop solutions to business problems. The position retrieves and prepares data from multiple sources, checks data accuracy, and adjusts retrieval methods as needed. It also coordinates reporting and helps underwriting users and leaders identify reporting data using Guidewire Database, NextGen Database, and the Enterprise Data Warehouse. The role communicates with subject matter experts and leaders to build understanding of Claims operations and their key performance indicators. It develops presentations and spreadsheets for management, may present findings and recommendations at management meetings, and may assist with forecasting future claims activity. Regular attendance is required on a full-time schedule of at least eight hours per day and 40 hours per week. The position may require a flexible schedule and travel, including overnight and/or weekend stays.

Requirements

  • Bachelor’s degree in an analytical concentration, such as mathematics, statistics, or engineering; a master’s degree is required in lieu of work experience.
  • At least 3 years of insurance-related experience, preferably in an analytical role, or an equivalent combination of education and experience.
  • SQL training.
  • Advanced proficiency in SQL.
  • Proficiency in Power BI and other data visualization tools.
  • Knowledge of statistics and general model-building and validation procedures.
  • Strong data skills and ability to work with massive datasets.
  • Good problem-solving skills.
  • Strong analytical and critical-thinking skills.
  • Strong attention to detail and accuracy.
  • Excellent written and verbal communication skills, including the ability to present findings on underwriting data projects.
  • Ability to produce quality work within tight timeframes, manage multiple projects simultaneously, and work in a team setting.
  • Ability to work a flexible schedule and travel as needed, potentially including overnight and weekend stays.
  • Ability to adhere to the Company’s privacy policy due to the sensitive nature of the information handled.

Nice To Haves

  • Experience with Python and/or R.
  • Insurance-related experience in an analytical role.

Responsibilities

  • Work with claims leaders and independently to identify opportunities and provide data support.
  • Collaborate with Claims departments and other company divisions, including Product, Underwriting, and IT Domain Teams, to implement solutions to business problems.
  • Support claims projects using general knowledge of business processes and best practices.
  • Retrieve data from various sources, prepare it for analysis, review it for accuracy, and revise retrieval methods when necessary.
  • Prepare reports, graphs, and charts based on research and analysis.
  • Analyze data, identify trends, and provide meaningful suggestions and recommendations to leadership.
  • May assist with forecasting future claims activity to help plan for future risks.
  • Serve as a contact for basic reporting needs and issues, and provide on-demand reports.
  • Communicate with subject matter experts and leaders to understand Claims operations, job functions, and the KPIs that drive business results.
  • Create presentations describing identified problems and potential solutions; develop spreadsheets and visual tools for management.
  • May attend management meetings to present findings and recommendations.
  • Coordinate and execute reporting, and support underwriting users and leaders in identifying data for reports using Guidewire Database, NextGen Database, and Enterprise Data Warehouse.
  • Maintain regular attendance on a full-time schedule of at least eight hours per day and 40 hours per week.
  • Perform other functions as assigned.

Benefits

  • Competitive compensation and salary.
  • Potential incentive bonuses, including holiday, referral, and performance-based bonuses.
  • Paid time off, including vacation time, sick time, nine paid Company holidays, and volunteer hours.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Life insurance.
  • Pet insurance.
  • 401(k) retirement savings plan with company match.
  • Education assistance.
  • Professional and personal development opportunities.
  • Health and wellbeing resources, including free mental wellbeing therapy and coaching sessions and child and eldercare resources.
  • Promotional opportunities.
  • Company recognition program.
  • Flexibility to work from anywhere in the United States for most positions.
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