Data Analyst I, Product

This is a fully remote position, open to applicants in United States.

📋 Description

• Collect, organize, and prepare data from both internal and external sources for thorough analysis.

• Conduct basic checks to ensure completeness and accuracy, and flag any data-related issues.

• Analyze product and competitive data to identify trends, differences, and potential issues or opportunities.

• Assist with ongoing and ad hoc analyses concerning the competitive positioning of products.

• Develop and maintain reports, charts, spreadsheets, and basic dashboards.

• Aid in data ingestion, cleanup, and documentation for competitive data utilized in personal lines analysis.

• Utilize standard SQL queries, analytical code, and reporting processes; make routine updates and seek review for significant changes.

• Document methodologies, assumptions, and findings to ensure analyses are understandable and repeatable.

• Collaborate with Product and other partners to clarify data requirements and offer analytical support.

• Contribute to small, well-defined projects and process enhancements.

• Raise questions, data quality concerns, and unexpected results as needed.

• Present findings to colleagues and management as appropriate, with assistance in formulating recommendations.

• Execute other related tasks as assigned.

⛳️ Requirements

• Bachelor’s degree in an analytical discipline such as mathematics, statistics, economics, data science, engineering, finance, or a related field is preferred, or a suitable combination of education and experience.

• At least 1 year of experience in data analysis, product development, competitive intelligence, insurance, financial services, or a related field is preferred; equivalent education or experience may be considered.

• Experience in property and casualty insurance or personal lines is advantageous.

• Familiarity with SQL, Excel, or similar tools for organizing and analyzing data is preferred.

• Foundational analytical and statistical skills, including the ability to interpret results and identify when findings require further review.

• Proficient in SQL and Microsoft Excel; experience with Python, R, dbt, Git/GitHub, or business intelligence and reporting tools is a plus.

• Capability to work with structured data, adhere to established procedures, and perform basic data quality checks.

• Strong attention to detail, problem-solving abilities, and a willingness to learn new tools and business processes.

• Excellent written and verbal communication skills, including the capacity to explain analysis clearly.

• Ability to collaborate effectively and manage assigned tasks with appropriate guidance.

🏝️ Benefits

• Competitive compensation.

• Flexibility to work remotely from anywhere in the United States for most roles.

• Paid time off including vacation, sick leave, 9 paid Company holidays, and volunteer hours.

• Incentive bonus programs with potential for holiday bonuses, referral bonuses, and performance-based bonuses.

• Comprehensive medical, dental, vision, life, and pet insurance.

• 401(k) retirement savings plan with company matching.

• Engaging work environment.

• Opportunities for promotion.

• Educational assistance.

• Professional and personal development opportunities.

• Company recognition program.

• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more.