Data Analyst I, Product
New
J
JobgetherPersonal lines insurance
Remote work flexibility from anywhere in the United States for most positions.Full-TimeEntry
SalaryCompetitive annual base salary, with location-based ranges: California: $81,341–$112,974. New Jersey, New York, Washington, Hawaii, Alaska, Maryland, Connecticut, Rhode Island, and Massachusetts: $63,410–$117,348. Nevada, Oregon, Arizona, Colorado, Wyoming, Texas, North Dakota, Minnesota, Missouri, Illinois, Wisconsin, Florida, Georgia, Michigan, Ohio, Virginia, Pennsylvania, Delaware, Vermont, New Hampshire, and Maine: $57,646–$106,680. Utah, Idaho, Montana, New Mexico, South Dakota, Nebraska, Kansas, Oklahoma, Iowa, Arkansas, Louisiana, Mississippi, Alabama, Tennessee, Kentucky, Indiana, South Carolina, North Carolina, and West Virginia: $51,881–$96,012. Compensation may vary based on location, relevant experience, and skills.
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Job Details
- Experience
- At least one year of experience in data analysis, product development, competitive intelligence, insurance, financial services, or a related field is preferred.
- Required Skills
- PythonSQLData AnalysisMicrosoft ExceldbtR
Requirements
- A bachelor's degree in mathematics, statistics, economics, data science, engineering, finance, or another analytical discipline is preferred; an equivalent combination of education and experience may also be considered.
- At least one year of experience in data analysis, product development, competitive intelligence, insurance, financial services, or a related field is preferred.
- Experience in property and casualty insurance or personal lines is an advantage.
- Demonstrate proficiency in SQL and Microsoft Excel for organizing, validating, and analyzing data.
- Apply foundational analytical and statistical skills to interpret results and recognize when further review is needed.
- Work with structured datasets, follow established procedures, and perform basic data-quality checks.
- Bring attention to detail, problem-solving abilities, and eagerness to learn new tools and business processes.
- Explain analytical findings clearly in writing and verbally.
- Collaborate with cross-functional teams and manage assigned tasks effectively with appropriate guidance.
- Exposure to Python, R, dbt, Git/GitHub, or business intelligence and reporting tools is a plus.
Responsibilities
- Gather, organize, and prepare internal and external data for analysis, checking completeness and accuracy and flagging data-quality issues.
- Analyze product performance and competitive data to identify trends, differences, risks, and opportunities.
- Support recurring and ad hoc analyses focused on product performance and competitive positioning.
- Create and maintain reports, charts, spreadsheets, and basic dashboards to communicate findings.
- Assist with data ingestion, cleanup, and documentation for competitive intelligence used in personal lines analysis.
- Use established SQL queries, analytical code, and reporting processes, making routine updates and requesting review for significant changes.
- Document analytical methods, assumptions, and results to make work clear, consistent, and reproducible.
- Collaborate with Product and cross-functional partners to understand data requirements and provide analytical support.
- Contribute to small-scale projects and process improvements, escalating questions, unexpected findings, and data-quality concerns when appropriate.
- Share analytical findings with colleagues and managers and help develop recommendations under the guidance of senior team members.
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