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4 дня назад

Data Analyst (Fintech)

Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
middle
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 (Fintech): Building and improving decision systems, predictive models, and experimental solutions for lease-to-own financial products with an accent on advanced analytics, machine learning, and rigorous evaluation. Focus on exploring data sources, testing algorithms, prototyping analytical tools, and applying models to real-world business problems.

Location: Remote anywhere in the continental United States or from the corporate office in Utah

Company

hirify.global provides in-store and e-commerce lease-to-own solutions and operates as a subsidiary of PROG Holdings, a fintech holding company.

What you will do

  • Build, maintain, and improve decision systems and predictive models that support competitive advantage.
  • Explore internal and external data sources and use findings to improve model performance.
  • Design, implement, and analyze in-market experiments for new algorithms, technologies, and processes.
  • Prototype technology-driven solutions to business problems.
  • Recommend and support strategic changes through rigorous analytics and creative problem-solving.
  • Identify, evaluate, and help implement advanced analytics methods.

Requirements

  • At least 2 years of experience in product or data analytics.
  • Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, economics, engineering, physics, or computer science.
  • Experience with R, Python, machine learning tools, and SQL.
  • Demonstrated experience applying advanced models to real-world problems.
  • Ability to design rigorous research and evaluation studies.

Nice to have

  • Experience in engineering environments.
  • Knowledge of DevOps and Git.
  • Experience using and implementing agentic AI.

Culture & Benefits

  • Entrepreneurial, high-ownership, data-driven team environment.
  • Growth opportunities through data science and leadership paths.
  • Medical, dental, vision, and life insurance, plus parental leave.
  • Company-matched 401(k), paid time off, and volunteer hours.
  • Employee stock purchase program, tuition reimbursement, charitable gift matching, and necessary equipment and services.

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