Top Insurance Data & Analytics Jobs in CO

Responsible for designing, developing, testing, and optimizing data integration solutions, focusing on financial month-end closure and ongoing production support.

The role involves analyzing insurance classification frameworks, creating mapping documentation, and communicating classification rationale while working with stakeholders.

The Senior Analyst will maintain quality in personal lines insurance products by developing testing tooling, implementing processes, and serving as a technical product expert.

The Senior Data & Analytics Consultant will lead data insights for the pet business's pricing and performance, manage analytics initiatives, and ensure accurate data reporting.

As the first in-house Data Engineer, you will own the data infrastructure, build and maintain data pipelines, and collaborate with teams to ensure quality data access and insights.

The Business Analyst II conducts process analyses, manages software testing, prepares reports, and defines business requirements to enhance operations.

As a Decision Science Analyst, you will apply mathematical and statistical techniques to support business decisions, analyze data, and deliver actionable insights across the organization.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Lead Data Engineer designs and oversees data systems to facilitate data-driven decisions, collaborating with teams to build scalable data infrastructure and tools.

The Data Engineer is responsible for supporting data systems and applications, designing data pipelines, and integrating data tools with a focus on collaboration and agile practices.

The Senior Data Engineer will create AWS-based data pipelines, ensuring data quality and a single source of truth while collaborating in an agile environment.

The Associate Data Engineer aids in data sourcing, transformation, analysis, and development of ETL logic, assisting senior members in maintaining data pipelines and architectures.