Data analyst in e-commerce

Constructor.io; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Fully remote team

Unlimited vacation

Work from home stipend

Apple laptops provided

Training and development budget

Maternity & Paternity leave

Stock options

Job summary

Constructor.io is a remote-friendly data analytics role focused on analyzing user behavior, running A/B tests, and translating insights into product improvements. You will build dashboards and collaborate with engineering, product, and business teams to optimize key metrics.

The position emphasizes strong SQL/Python skills, handling large datasets, and clear communication with stakeholders in a fast-paced, fully remote environment.

Qualifications

• Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement.
• Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics.
• Define and validate metrics that reflect 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 with SQL, Python, and distributed data systems to process and analyze large volumes of data.
• 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 (pandas, NumPy, visualization libraries).
• Understanding of A/B testing and statistical concepts.
• Understanding of machine learning pipelines, training data quality, and model evaluation.
• 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.

Responsibilities

• Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement.
• Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics.
• Define and validate metrics that reflect 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 with SQL, Python, and distributed data systems to process and analyze large volumes of data.

Skills

Analytical thinking

A/B testing

Statistical concepts

Data storytelling

SQL

Python

Big data

Data visualization

Tools

SQL

Python

Pandas

NumPy

Job description

Constructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house, utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.

• Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement.
• Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics.
• Define and validate metrics that reflect 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 with SQL, Python, and distributed data systems to process and analyze large volumes of data.
• 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 (pandas, NumPy, visualization libraries).
• Understanding of A/B testing and statistical concepts.
• Understanding of machine learning pipelines, training data quality, and model evaluation.
• 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.
• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees to take at least 3 weeks per year.
• Work from home stipend! We want you to have the resources you need to set up your home office.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.
• Stock options - offered in addition to the base salary.