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12 часов назад

Senior Data Analyst (Ecommerce)

130 000 - 150 000$
Формат работы
hybrid
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
Senior Data Analyst (SQL/Python): Building reusable analytical frameworks, predictive models, experiments, and executive dashboards for ecommerce and retail business functions with an accent on statistical analysis, customer insights, and scalable data workflows. Focus on designing A/B tests, forecasting demand and customer lifetime value, validating models, and translating complex datasets into decisions for business and leadership stakeholders.

Location: Los Angeles HQ; hybrid workplace

Salary: $130,000–$150,000 per year

Company

hirify.global is a global apparel brand creating underwear, loungewear, shapewear, and essentials through technically innovative, comfort-driven products.

What you will do

  • Partner with a business function such as Performance Marketing, Product Planning, Merchandising, Operations, or Production as the primary analytics contact.
  • Translate ambiguous business questions into analytical plans, recommendations, forecasts, and measurement frameworks.
  • Build reusable analytical frameworks, scripts, tools, and pipelines in Python and SQL to automate recurring analyses and scale data access.
  • Apply statistical and predictive modeling to customer lifetime value, demand planning, resource allocation, segmentation, targeting, and optimization.
  • Design and measure experiments, including A/B tests, and validate analytical models using appropriate performance metrics.
  • Create executive-level dashboards in Looker, Tableau, or Power BI and communicate findings to stakeholders and leadership.

Requirements

  • Bachelor’s degree in Statistics, Data Science, or a related field.
  • 5+ years of experience in a senior analytics role.
  • Experience accessing, transforming, modeling, and exploring large datasets using SQL and Python.
  • Experience with predictive and statistical models, business experimentation, and A/B testing.
  • Experience using analytics and BI tools such as Snowflake, SQL, Python, Looker, Tableau, or Power BI.
  • Ability to lead end-to-end analytics projects independently, present to leadership, and translate technical findings into clear business recommendations.

Nice to have

  • Experience in ecommerce, retail, DTC apparel, fashion, or consumer goods.

Culture & Benefits

  • Up to 100% company-paid medical, dental, and vision healthcare.
  • Kind Body fertility benefits and a 401(k) plan with up to 4% company match.
  • Unlimited PTO and full access to LinkedIn Learning.
  • Employee discounts, catered lunches, snacks, and beverages at HQ.
  • Dog-friendly office days, company events, holiday and summer parties, and product giveaways.

Hiring process

  • Application and application review.
  • Recruiter chat.
  • Interview followed by the hiring decision.

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