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обновлено 5 дней назад

Data Analyst (E-commerce)

7 500 - 10 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
RUВакансия из Hirify RU, списка российских tech-компаний

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TL;DR
Data Analyst (E-commerce) (Python/SQL/Big Data): Building analytics, dashboards, and end-to-end data pipelines for a merchant intelligence platform with an accent on actionable e-commerce insights, real-time business metrics, and user behavior research. Focus on exploring massive datasets, prototyping product solutions, and translating analytical findings into decisions for non-technical users.

Location: Fully remote; choose where you live

Salary: $7,500–$10,000/month net; base salary of $80,000–$120,000 USD annually, depending on skills, experience, and interview results. Stock options are offered in addition to the base salary.

Company

Constructor develops a product platform with customer dashboards that help e-commerce merchandisers analyze shopping behavior and improve algorithmic results.

What you will do

  • Build dashboard analytics that provide actionable insights and improve e-commerce KPIs.
  • Explore data and research user behavior to support merchant decision-making.
  • Implement end-to-end data pipelines for real-time analytics of essential business metrics.
  • Participate in product research and development through prototypes and customer product interviews.
  • Provide analytical support for e-commerce initiatives by identifying relevant features and metrics.
  • Develop communication tools for reporting business performance and informing cross-functional decisions.

Requirements

  • Proficiency in BI tools for data analysis and dashboard development for technical and non-technical users.
  • Advanced SQL skills and experience with exploratory data analysis in Python, including pandas, NumPy, and data visualization libraries.
  • Practical familiarity with Spark, Hive, and Databricks.
  • Experience with Python, SQL, PySpark, ClickHouse, Cube.js, Docker, and Git.
  • Knowledge of mathematical statistics and fast analytical prototyping.
  • Strong communication skills and the ability to translate business requests into technical requirements and explain technical findings clearly.

Culture & Benefits

  • Fully remote work with the freedom to choose where to live.
  • Unlimited vacation, with at least three weeks encouraged annually.
  • Work-from-home stipend and Apple laptop provided for new employees.
  • Annual training and development budget.
  • Maternity and paternity leave for qualified employees.
  • Regular team offsites and an inclusive, collaborative work environment.

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