We are seeking a detail‑oriented and analytically minded Data Analyst to join our team. In this role, you will work closely with product, engineering, and subject‑matter experts to transform complex data into actionable insights. The ideal candidate is comfortable working with large data sets, translating business questions into analytical solutions, and communicating results clearly to both technical and non‑technical audiences.

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For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.

Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Verisk Employee Privacy Notice

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We are in search for a Data Analyst to join our team remotely in the USA!

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• 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

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Preferred Qualifications

• 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

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Soft Skills & Working Style

• Strong problem‑solving mindset with the ability to operate independently in ambiguous situations
• Collaborative working style with product managers, engineers, and SMEs
• Ability to balance analytical rigor with real‑world business constraints and deadlines
• Clear written and verbal communication, including explaining assumptions, limitations, and analytical decisions

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• 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.