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Data Analyst I (Data Analytics)

85 000 - 105 000$
Формат работы
hybrid
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 (eCommerce): Conducts comprehensive dataset analyses and builds data pipelines to extract insights, trends, and patterns for a connected commerce platform with an accent on mathematical, statistical, and probability methodologies. Focus on automating reports and visualizations and collaborating with cross-functional teams to address product challenges.

Location: This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.

Salary: $85,000–$105,000 per year

Company

hirify.global is the first full-funnel connected commerce platform for the world's most innovative brands.

What you will do

  • Conduct comprehensive dataset analyses across hirify.global to extract insights, trends, and patterns.
  • Build and maintain data pipelines and workflows to ensure data accuracy and consistency.
  • Provide timely and precise responses to inquiries regarding datasets and models.
  • Apply technical expertise to process complex datasets and derive actionable insights through analytics.
  • Develop scalable processes for automating reports and visualizations to communicate findings effectively.
  • Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.

Requirements

  • Bachelor’s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
  • 2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
  • 2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
  • Demonstrated experience with Python and SQL.

Nice to have

  • Prior experience using advanced statistical tools such as SciPy or sklearn.
  • Prior experience with big data technologies such as Hadoop or Spark.
  • Experience working in a startup, retail, digital advertising, or e-commerce environment.

Culture & Benefits

  • Comprehensive benefits plan covering medical, dental, and vision, including fertility benefits.
  • Company 401k plan plus matching.
  • Company paid Life Insurance.
  • 20 days annually of Paid Time Off (with no accrual or tenure needed) and 9 Paid company holidays.
  • 100% Paid Parental Leave (20 weeks for birthing mothers and 12 weeks for all other parents).
  • Summer Fridays early close at 3 pm, fully stocked kitchen snacks with fresh fruit, happy hours, and monthly catered lunches.

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