Senior Data Analyst, ML & Product Insights (Remote)

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

Benefits offered by this job

Work with smart and empathetic people

Fully remote team

Unlimited vacation

Work from home stipend

Apple laptops provided

Training and development budget

Maternity & Paternity leave

Stock options

Job summary

Constructor is seeking a Data Analyst to join multiple teams across Data Science Integrations, Ranking, Recommendations, AI Shopping Agents, Offsite Search Optimisation, Personalization and Retail Media. You will analyze user behavior, design experiments, define metrics, and generate insights that influence product decisions and business outcomes.

You will collaborate with engineers, data scientists, product managers, and business stakeholders, translating data into actionable improvements

Qualifications

• Translates data into actionable product insights.
• Experience with large datasets and experimentation.
• Familiarity with ML concepts is a plus.

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

SQL

Python pandas

A/B testing

Job description

Constructor is seeking a Data Analyst to join multiple teams across Data Science Integrations, Ranking, Recommendations, AI Shopping Agents, Offsite Search Optimisation, Personalization and Retail Media. You will analyze user behavior, design experiments, define metrics, and generate insights that influence product decisions and business outcomes.

You will collaborate with engineers, data scientists, product managers, and business stakeholders, translating data into actionable improvements