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Mercury Insurance

Data Analyst

Mercury Insurance

. Interpret complex data sets related to Claims Department operations and provide data-driven analysis .

Posted 11/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $76,829 - $142,213 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and data visualization tools like PowerBI, with strong analytical skills to interpret complex data sets and provide actionable insights. Capable of collaborating across departments to support claims operations and drive business decisions through data-driven analysis.

Highest-signal resume keywords
Advanced Proficiency In SQLData Visualization With PowerBIData Analysis And InterpretationStrong Analytical And Critical ThinkingInsurance-Related Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData AnalysisStatistical KnowledgeModel Building And ValidationData RetrievalData ReportingForecastingData Accuracy ReviewData Trend IdentificationPresentation Development
Soft Skills
Problem-SolvingAttention To DetailCommunication SkillsTeam CollaborationTime Management
Tools & Technologies
PowerBIGuidewire DatabaseNextGen DatabaseEnterprise Data WarehousePythonR
Certifications & Qualifications
Bachelor’s Degree In Analytical ConcentrationMaster’s Degree In Lieu Of Work Experience
Industry Keywords
Claims Department OperationsInsurance IndustryData-Driven AnalysisBusiness DecisionsKPI Understanding

Tech Stack

Tools & technologies
GuidewirePythonSQL

About the role

Key responsibilities & impact
  • Interpret complex data sets related to Claims Department operations and provide data-driven analysis
  • Analyze and interpret data, identify trends and patterns, and provide insights to drive business decisions
  • Develop reports, dashboards, and visualizations presenting complex data clearly and concisely
  • Work with claims leaders 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
  • Support claims projects using knowledge of business-area processes and best practices
  • Retrieve data from various sources and prepare it for analysis
  • Review data accuracy and revise data retrieval methods when necessary
  • Prepare reports, graphs, and charts based on research and analysis
  • Provide suggestions and recommendations to leadership based on identified data trends
  • Assist with forecasting future claims activity and planning for future risks
  • Serve as a contact for basic reporting needs, issues, and on-demand reports
  • Communicate with subject matter experts and leadership to understand claims operations, processes, and KPIs
  • Create presentations explaining identified problems and potential solutions
  • Develop spreadsheets and visual tools for management use
  • Present findings and recommendations at management meetings as needed
  • Coordinate and execute reporting using Guidewire Database, NextGen Database, and Enterprise Data Warehouse
  • Direct and support underwriting users and leaders in identifying data needed for reporting
  • Maintain regular full-time attendance of at least 8 hours and 40 hours per week
  • Perform other assigned functions

Requirements

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

Benefits

Comp & perks
  • Competitive compensation
  • Flexibility to work from anywhere in the United States for most positions
  • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
  • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
  • Medical, dental, vision, life, and pet insurance
  • 401 (k) retirement savings plan with company match
  • Engaging work environment
  • Promotional opportunities
  • Education assistance
  • Professional and personal development opportunities
  • Company recognition program
  • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more