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Data Analyst Claims - Job Opportunity at Mercury Insurance Services, LLC

Remote, US
Full-time
Mid-level
Posted: June 1, 2025
Remote
USD 61,327 - 138,744 per year

Benefits

Competitive salary with geographic adjustments reflecting cost-of-living variations across states
Comprehensive remote work flexibility allowing location independence across the United States
Generous paid time off package including vacation, sick leave, nine company holidays, and dedicated volunteer hours
Performance-driven incentive programs with multiple bonus opportunities including holiday, referral, and merit-based bonuses
Complete healthcare coverage including medical, dental, vision, life insurance, and innovative pet insurance benefits
Robust 401(k) retirement plan with employer matching contributions for long-term financial security
Professional development support through education assistance and career advancement programs
Mental health and wellness resources including complimentary therapy sessions and family support services
Company recognition programs acknowledging employee contributions and achievements

Key Responsibilities

Drive strategic claims operations by identifying data-driven opportunities that directly impact departmental efficiency and cost management
Lead cross-functional collaboration initiatives with Product, Underwriting, and IT teams to implement scalable solutions for complex business challenges
Execute comprehensive data analysis projects that influence claims processing workflows and operational best practices
Design and maintain sophisticated reporting systems using enterprise databases including Guidewire and NextGen platforms
Develop executive-level presentations and dashboards that communicate complex analytical findings to senior leadership
Implement predictive analytics for claims forecasting to support risk management and resource planning decisions
Establish data quality standards and validation procedures ensuring accuracy across massive insurance datasets
Serve as the primary analytical resource for claims leadership, providing on-demand insights for critical business decisions

Requirements

Education

Bachelor's degree in an analytical concentration, such as math, statistics, engineering. SQL Training. Master's degree is required in lieu of work experience.

Experience

At least 3 years experience of insurance related experience preferably in an analytical role, or equivalent combination of education and experience.

Required Skills

Advanced proficiency in SQL required Proficiency in PowerBI and other data visualization tools Experience with Python and/or R 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 the ability to present findings on underwriting data projects Ability to produce quality work within tight timeframes, simultaneously manage multiple projects and the ability to work in a team setting Ability to work a flexible schedule and travel as needed Ability to adhere to the Company's privacy policy due to the sensitive nature of information handled
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Sauge AI Market Intelligence

Industry Trends

The insurance industry is experiencing unprecedented digital transformation, with claims analytics becoming increasingly sophisticated through AI and machine learning integration. Companies are investing heavily in predictive modeling capabilities to reduce claim processing times and improve fraud detection, making data analysts with insurance domain knowledge extremely valuable in the current market. Regulatory compliance requirements in insurance are becoming more stringent, particularly around data privacy and claims handling transparency. This trend is driving demand for analysts who can ensure data governance while maintaining operational efficiency, creating opportunities for professionals who understand both technical requirements and regulatory frameworks. The shift toward usage-based insurance and real-time risk assessment is fundamentally changing how claims data is analyzed and utilized. Insurance companies are seeking analysts who can work with IoT data, telematics, and continuous monitoring systems to create more accurate pricing models and faster claims resolution processes.

Salary Evaluation

The salary range of $61,327 to $138,744 is competitive and well-structured geographically, reflecting Mercury Insurance's understanding of regional market conditions. This range positions the role competitively in the mid-level data analyst market, with the upper end approaching senior analyst compensation levels. The geographic salary bands demonstrate sophisticated market analysis, with high-cost states like California and New York receiving appropriate premium adjustments.

Role Significance

Typically operates within a small to medium-sized analytics team of 3-8 professionals, likely reporting to a Senior Data Analyst or Analytics Manager. The role appears to have individual contributor responsibilities while potentially mentoring junior analysts, suggesting a team structure that values both technical expertise and knowledge sharing.
This mid-level position demonstrates significant autonomy and strategic influence within the claims organization. The role combines hands-on analytical work with leadership collaboration, indicating a position that bridges technical execution with business strategy. The requirement for independent problem identification and cross-departmental collaboration suggests this analyst will have meaningful impact on organizational decision-making.

Key Projects

Implementation of predictive claims scoring models to identify high-risk claims early in the process Development of automated fraud detection systems using machine learning algorithms Creation of real-time claims processing dashboards for operational monitoring Analysis of claims settlement patterns to optimize reserve setting and financial planning Cross-functional data integration projects connecting claims data with underwriting and product development insights

Success Factors

Mastery of SQL and database management will be crucial for extracting insights from complex insurance datasets spanning multiple systems including Guidewire and enterprise data warehouses. The ability to write efficient queries and understand database architecture will directly impact the speed and accuracy of analytical deliverables. Strong business acumen in insurance operations, particularly claims processing workflows, will differentiate successful candidates. Understanding the claims lifecycle, regulatory requirements, and operational constraints will enable more relevant and actionable analytical insights. Communication and presentation skills will be essential for translating complex analytical findings into actionable business recommendations. The ability to create compelling visualizations and present to diverse audiences from technical teams to executive leadership will determine the role's strategic impact. Project management capabilities and the ability to juggle multiple concurrent initiatives will be critical given the cross-functional nature of the role and the fast-paced insurance environment where analytical insights often drive time-sensitive business decisions.

Market Demand

High demand driven by industry-wide digital transformation initiatives and the critical need for data-driven claims processing optimization in an increasingly competitive insurance marketplace.

Important Skills

Critical Skills

Advanced SQL proficiency is absolutely essential as it forms the foundation for all data extraction and analysis activities. In the insurance industry, analysts work with complex relational databases containing millions of records, and the ability to write efficient, accurate queries directly impacts analytical productivity and insight quality. Statistical knowledge and model building capabilities are critical for developing the predictive analytics that drive modern claims operations. Understanding statistical significance, model validation, and predictive accuracy metrics enables analysts to create reliable tools for business decision-making. Insurance domain knowledge, particularly in claims processing, is crucial for contextualizing analytical findings and ensuring recommendations are operationally feasible. Understanding claims workflows, regulatory requirements, and industry best practices enables more relevant and actionable insights.

Beneficial Skills

Python and R programming skills are increasingly valuable as insurance analytics evolves toward more sophisticated machine learning applications. These skills enable advanced statistical modeling, automation of analytical processes, and integration with emerging AI/ML platforms. Advanced data visualization capabilities beyond PowerBI, including tools like Tableau or custom dashboard development, enhance the ability to communicate insights effectively to diverse stakeholders and create self-service analytics solutions. Project management and agile methodology experience becomes increasingly important as analytics teams adopt more structured approaches to delivery and collaborate more closely with IT and business teams on complex implementations.

Unique Aspects

The role offers rare exposure to enterprise-level insurance data platforms including Guidewire and NextGen systems, providing valuable experience with industry-standard tools that are highly transferable across the insurance sector
Geographic salary differentiation demonstrates sophisticated compensation philosophy and provides transparency often lacking in similar roles, reflecting Mercury's commitment to fair and market-appropriate compensation
The combination of claims domain expertise with advanced analytics creates a specialized skill set that is increasingly valuable as insurance companies seek to optimize claims operations through data-driven approaches
Remote work flexibility across all US states is uncommon in the insurance industry and provides significant lifestyle and career flexibility while maintaining access to diverse regional market insights

Career Growth

Progression to senior analyst roles typically occurs within 2-3 years with strong performance, while management positions generally require 4-6 years of experience with demonstrated leadership capabilities and strategic thinking.

Potential Next Roles

Senior Data Analyst with expanded responsibility for model development and team leadership Claims Analytics Manager overseeing a team of analysts and strategic analytics initiatives Business Intelligence Manager focusing on enterprise-wide data strategy and analytics platforms Product Analytics roles in insurance product development and pricing optimization Risk Management Analyst positions leveraging claims insights for broader risk assessment

Company Overview

Mercury Insurance Services, LLC

Mercury Insurance Services, LLC is an established regional insurance provider with over 60 years of market presence, positioning itself as a stable mid-market player in the competitive insurance landscape. The company has demonstrated commitment to modernization through investments in technology platforms like Guidewire and enterprise data warehousing, indicating a forward-thinking approach to digital transformation.

Mercury operates as a well-established regional insurer with strong market presence in key states, particularly on the West Coast. The company's longevity and continued growth demonstrate financial stability and market competitiveness, though it faces pressure from both traditional large insurers and emerging insurtech companies.
The geographic salary structure reveals Mercury's strategic focus on high-growth markets including California, Texas, and Florida, while maintaining presence across diverse regional markets. This geographic diversification provides stability and growth opportunities while requiring sophisticated data analytics to manage varied regulatory and market conditions.
The emphasis on remote work flexibility, comprehensive benefits, and professional development suggests a progressive work culture that values employee well-being and career growth. The company's focus on collaboration across departments and emphasis on diverse perspectives indicates an inclusive environment that encourages innovation and cross-functional thinking.
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