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Data Analyst: Multiple Teams (Remote)

15 hours, 34 minutes ago
Anywhere
Full-time
Mid Level
Data Analyst
Data Science and Analytics
E-commerce Machine Learning NumPy Pandas Python SQL
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Constructor

Constructor

The only site search and product discovery built for ecommerce KPIs. Delivering superior experiences with AI, NLP, data and personalization.

Internet Software & Services
View All Jobs 29

Description

  • Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement.
  • Design, run, and analyze A/B tests to measure the impact of product changes on key business metrics.
  • Define and validate metrics that capture both user experience and business outcomes.
  • Build dashboards, reports, and data tools to support decision-making across teams.
  • Partner with customers, engineering, product, and business teams to translate insights into product improvements.
  • Work closely with engineers, data scientists, product managers, and business stakeholders to support data-driven decisions.
  • Use SQL, Python, and distributed data systems to process and analyze large volumes of data.

Requirements

  • Strong analytical skills and experience solving business problems using data.
  • Solid knowledge of SQL and experience working with large datasets.
  • Experience with Python for data analysis, including pandas, NumPy, and visualization libraries.
  • Understanding of A/B testing and statistical concepts.
  • Understanding of machine learning pipelines, training data quality, and model evaluation.
  • Familiarity with ranking, recommendations, or search relevance is a plus.
  • Experience defining metrics, building metric trees, and analyzing product funnels.
  • Ability to communicate insights clearly and translate business needs into analytical solutions.
  • Comfortable working with multiple stakeholders in a fast-paced environment.
  • Experience in a customer-facing role or in e-commerce/product analytics is preferred.

Benefits

  • Base salary of $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
  • Stock options in addition to base salary.
  • Fully remote team with flexibility to choose where you live.
  • Unlimited vacation time, with at least 3 weeks encouraged per year.
  • Work-from-home stipend for home office setup.
  • Apple laptops provided for new employees.
  • Training and development budget refreshed each year.
  • Maternity and paternity leave for qualified employees.

Interested in this position?

Apply directly on the company website

Apply Now

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