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3 дня назад

Product Analytics Analyst Sr (Insurance)

94 400 - 129 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Product Analytics Analyst Sr (Insurance): Developing product insights and localized competitive intelligence for personal and commercial insurance products with an accent on pricing, underwriting profitability, retention, and market strategy. Focus on analyzing premium rates and loss experience, researching competitors, and translating complex data into product, pricing, and business decisions using SQL, Python, and other analytical tools.

Location: Bloomington, Illinois, United States

Base pay: $94,400–$129,800 per year, plus eligibility for a short-term incentive plan.

Company

hirify.global provides personal and business insurance products, retirement services, and investment services.

What you will do

  • Develop product insights and recommendations for new product development and the enhancement of existing insurance products.
  • Analyze premium rates, loss experience, retention, underwriting profitability, and business mix in assigned states.
  • Develop state-level business profit and growth strategies with marketing and Market Managers.
  • Research competitors’ rates, service levels, financial positions, operating strategies, business directions, and technologies.
  • Coordinate with IT on rate revisions, new products, product features, and other initiatives.
  • Build working relationships with Accounting, Actuarial, Claims, Customer Service, and IT.

Requirements

  • 7+ years of analytical work experience or equivalent experience in data analytics, business intelligence, or a related field.
  • Experience in personal or commercial lines pricing, product analytics, or a related analytical field.
  • Strong ability to develop insights and apply advanced analytics to business outcomes.
  • High technical proficiency with SQL, SAS, Python, R, Tableau, advanced Excel, and cloud-based platforms such as AWS, Azure, or Cloudera.
  • Exceptional research, critical thinking, problem-solving, decision-making, communication, and relationship-building skills.

Culture & Benefits

  • Collaborative environment focused on curiosity, continuous learning, and results.
  • Opportunities to learn and apply modern data platforms and analytical methodologies.
  • Medical, dental, vision, disability, and life insurance benefits.
  • 401(k) with company match.
  • Career development opportunities within the role and across the business.

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