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2 дня назад

Data Analyst I Product (Insurance)

63 410 - 117 348$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst I Product (Insurance) (SQL/Excel): Analyzing personal lines product performance and competitive position through validated data, reports, visualizations, and basic dashboards with an accent on foundational statistics, data quality, and product insights. Focus on preparing competitive data, documenting repeatable analyses, and identifying trends and opportunities with Product and cross-functional partners.

Location: Remote within the United States; an in-person interview may be required during the hiring process.

Salary: USD $63,410–$117,348 annually, with state-specific ranges and a typical California hiring range of $81,341–$112,974.

Company

hirify.global is an insurance company focused on helping people reduce risk and overcome unexpected events.

What you will do

  • Gather, organize, validate, and prepare internal and external data for personal lines product and competitive analysis.
  • Analyze product performance and competitive data to identify trends, differences, issues, and opportunities.
  • Prepare and maintain reports, charts, spreadsheets, and basic dashboards.
  • Support data ingestion, cleanup, documentation, recurring analyses, and ad hoc product analysis.
  • Use established SQL queries, analytical code, and reporting processes; document methods, assumptions, and findings.
  • Collaborate with Product and cross-functional partners, present findings, support recommendations, and contribute to defined-scope improvements.

Requirements

  • Bachelor’s degree in mathematics, statistics, economics, data science, engineering, finance, or a related analytical field, or an equivalent 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; equivalent education or experience may be considered.
  • Foundational analytical and statistical skills, including interpreting results and recognizing when findings need further review.
  • Proficiency in SQL and Microsoft Excel.
  • Ability to work with structured data, follow established procedures, and perform basic data-quality checks.
  • Strong attention to detail, problem-solving skills, and willingness to learn new tools and business processes.
  • Clear written and verbal communication skills and the ability to explain analysis straightforwardly.
  • Ability to collaborate effectively and manage assigned tasks with guidance.

Nice to have

  • Property and casualty insurance or personal lines experience.
  • Exposure to Python, R, dbt, Git/GitHub, or business intelligence and reporting tools.

Culture & Benefits

  • Remote flexibility for most positions within the United States.
  • Paid vacation, sick time, nine company holidays, and volunteer hours.
  • Medical, dental, vision, life, and pet insurance.
  • 401(k) retirement savings plan with company match and incentive bonus programs.
  • Education assistance, professional development opportunities, and health and wellbeing resources.
  • Inclusive workplace with promotional opportunities and an engaging team environment.

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