Data Analyst: Multiple Teams

About the Role

We are hiring Data Analysts to work across multiple teams at Constructor, including Data Science Integrations, Ranking, Recommendations, and Personalization. In this role, you will work at the intersection of data, product, and machine learning.

Responsibilities

• Analyze user behaviour 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

Requirements

We are looking for strong analytical thinkers who are comfortable working with data to drive product and business decisions. Core skills:

• 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

Product & data understanding:

• 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

Communication & ownership:

• Ability to communicate insights clearly and translate business needs into analytical solutions
• Comfortable working with multiple stakeholders in a fast-paced environment

Benefits

• 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 take at least 3 weeks per year
• Work from home stipend
• 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