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Verisk
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March 11, 2026
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Data Analyst

Lehi, UT
Full-time
Hybrid
Entry, Mid Level
Verisk is a leading data analytics and technology partner to the global insurance industry. The Data Analyst will work closely with product, engineering, and subject-matter experts to transform complex data into actionable insights, supporting business initiatives through data analysis and reporting.
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Responsibilities

  • Extract, clean, and analyze large and complex data sets to support business initiatives
  • Develop and optimize SQL queries, pipelines, and datasets for reporting and analytics
  • Use analytical programming languages such as Python or R to perform data manipulation, statistical analysis, and modeling
  • Build dashboards, reports, and visualizations using BI tools (e.g., Tableau, Power BI) to communicate trends and insights
  • Partner with product managers, data engineers, and domain experts to define analytical requirements and metrics
  • Translate business problems into structured analytical approaches and provide clear, actionable insights
  • Ensure data accuracy through rigorous validation, documentation, and quality controls
  • Support product, pricing, and model development teams with data‑driven recommendations

Qualification

Required

  • Bachelor's degree in Statistics, Economics, Computer Science, or a related quantitative field
  • 2+ years in a data analyst or business intelligence role
  • Strong SQL skills, including complex joins, window functions, and performance optimization
  • Proficiency in Python or R for data manipulation and analysis
  • Experience working with large, complex datasets in enterprise environments
  • Ability to translate business questions into analytical frameworks
  • Solid understanding of statistical concepts (regression, variance, distributions, hypothesis testing)
  • Experience building dashboards/reports using BI tools such as Tableau or Power BI
  • Strong attention to data quality, validation, and documentation

Preferred

  • Experience in insurance, property, construction, or risk analytics
  • Familiarity with property estimating data, claims data, or pricing models (materials, labor, regional costs)
  • Experience supporting product, pricing, or model development teams
  • Knowledge of cloud data platforms (Snowflake, AWS, Azure)
  • Exposure to data modeling concepts and version‑controlled analytics workflows

Benefits

  • Health Insurance
  • A Retirement Plan
  • Disability benefits
  • A Paid Time Off program
Verisk Analytics is a data analytics and risk assessment firm for the insurance sector.
Glassdoor
3.7
Founded in 1971
Jersey City, New Jersey, USA
5001-10000 employees
https://www.verisk.com
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