Job Specifications
Data Analyst
Description Summary:
The Data Analyst role is responsible for playing a critical role in turning raw data into
actionable intelligence that drives strategic decisions and operational improvements
across the organization.
Key Duties and Responsibilities:
Collect, analyze, and interpret data from policy, claims, billing, and customer
service systems with a focus on claims metrics
Develop dashboards, reports, and visualizations to monitor business
performance and key metrics
Partner with underwriting, claims, product, and finance teams to identify trends,
risks, and opportunities
Conduct deep-dive analyses to support pricing strategies, loss ratio
improvement, and risk assessment
Translate business needs into analytical requirements and deliver solutions that
drive measurable results
Perform data validation and ensure data integrity across multiple sources and
systems
Support regulatory reporting and compliance requirements specific to the non-
standard auto insurance market
Provide ad-hoc analysis to leadership for strategic decision-making
Required Qualifications:
Bachelor's degree in Data Analytics, Statistics, Mathematics, Finance,
Economics, or a related field
Minimum of four years of experience as a Data Analyst
Background in insurance
Strong proficiency in SQL for data querying and extraction
Experience with BI and visualization tools with Looker experience a plus (e.g.,
Tableau, Power BI, Looker)
Advanced knowledge of Excel, including pivot tables and advanced functions
Ability to analyze large, complex data sets and communicate insights clearly to
both technical and non-technical stakeholders
Understanding of key insurance concepts such as underwriting, loss ratios,
claims severity/frequency, and premium analysis
Excellent problem-solving skills, attention to detail, and time management
abilities
Preferred Qualifications:
Knowledge of personal lines auto insurance, preferably non-standard
Experience with claims metrics
Experience with data extraction and manipulation
Experience with statistical programming languages (Python, R, SAS)
Experience with PowerApps
Familiarity with predictive modeling or machine learning techniques
Exposure to cloud-based data environments (AWS, Azure, GCP).
Experience in cloud native environments.
About the Company
At VERVE, we have joined together to build a better insurance experience. As we re-imagine insurance, we invite you to grow with us. We are a team of innovative and well-versed leaders in the insurance arena. By combining analytics and technology with our teams' extensive experience, we have successfully developed a new and profitable managing general agency. For our agency partners, we dedicate ourselves to an exceptional customer-centric experience offering affordable and competitive insurance products. For our team member...
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