Senior Data Analyst

About The Company

Constructor is a pioneering platform dedicated to enhancing search and discovery experiences in the e-commerce sector. Since its inception in 2019, the company has established itself as a leader in building innovative search engines optimized for key metrics such as revenue, conversion rate, and profit. The platform leverages cutting-edge AI technologies, including transformers and generative large language models (LLMs), to power a comprehensive suite of features ranging from search to personalized recommendations and shopping agents. With a proprietary engine that has consistently outperformed competitors in A/B testing, Constructor is committed to maintaining its technological edge through continuous innovation and research in AI.

Serving over 1 billion queries daily across more than 150 languages and approximately 100 countries, Constructor's solutions are trusted by major e-commerce brands like Sephora, Under Armour, and Petco. The company prides itself on a passionate, problem-solving culture that values empathy, openness, curiosity, and continuous improvement. Its team is dedicated to making both customer and employee experiences better by fostering an environment where everyone is empowered to excel. As a U.S.-based organization, Constructor continues to grow its influence in the AI-driven search domain by attracting talented professionals eager to work at the forefront of technology.

About The Role

We are seeking a highly skilled Data Analyst to join our Ranking Team, which is responsible for developing and optimizing machine learning models that influence how products are discovered on our clients’ e-commerce platforms. In this role, you will evaluate and enhance the performance of ranking models, features, and configurations through extensive experimentation and data analysis. You will work with a large-scale experimentation environment, conducting numerous A/B tests each month and processing terabytes of data to derive actionable insights. Your contributions will directly impact key metrics, user experience, and the strategic direction of our search and recommendation systems.

As the first data analyst on a dedicated six-member team, you will collaborate closely with engineers, data scientists, and product managers. Your insights will help define success criteria, interpret user behavior, and inform product and algorithm improvements. You will tackle challenges such as analyzing ranking performance across different models and customer segments, understanding shopper behavior, designing and validating new metrics, and building scalable analytics infrastructure. Your work will enable data-driven decision-making that enhances both technical performance and business outcomes.

This role demands a strong foundation in experimental design, statistical analysis, and big data tools, with an emphasis on translating complex data into clear, actionable insights. Your expertise will help shape the future of search relevance, personalization, and overall user engagement on our platform.

Qualifications

• 3+ years of experience analyzing complex experiments and large datasets
• Proficiency in SQL for large-scale data extraction and transformation
• Experience with distributed data processing systems such as Apache Spark
• Strong programming skills in Python, including data analysis libraries and automation
• Knowledge of machine learning pipelines, ranking/recommendation metrics, and search relevance concepts
• Ability to design and validate meaningful metrics aligned with business goals
• Experience creating dashboards and reports using Tableau, Looker, or custom Python solutions
• Excellent analytical skills with the ability to interpret user behavior and derive insights
• Strong collaboration skills to work effectively with cross-functional teams

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• Understanding of experimental design, statistical testing, and hypothesis validation
• Passion for data-driven decision-making and continuous learning
• Availability to work within the time zone of 9:00–15:00 UTC
  
  

Responsibilities

• Evaluate the performance of ranking models, features, and configurations through rigorous analysis of A/B test results
• Investigate and interpret user behavior patterns, conversion metrics, and ranking impact at scale
• Define, develop, and validate new metrics to measure search relevance, personalization, and model effectiveness
• Create scalable dashboards and reporting tools to monitor experiment outcomes and system performance
• Develop debugging tools and explainability features to clarify ranking decisions and identify issues
• Partner with engineering and product teams to design experiments, validate hypotheses, and implement improvements
• Extract and process large datasets using SQL and Spark to support analysis and reporting
• Build internal tools and automate workflows to streamline data analysis processes
• Communicate insights clearly to technical and non-technical stakeholders through visualizations and presentations
• Influence product and ML strategy by providing data-driven recommendations and insights

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• Stay updated on the latest trends in search, AI, and data analytics to continuously improve analytical approaches
  
  

Benefits

• Competitive base salary ranging from $80,000 to $120,000 USD, commensurate with experience
• Unlimited vacation policy encouraging work-life balance, with a recommendation to take at least three weeks annually
• Fully remote work environment with a flexible location policy
• Work from home stipend to support home office setup
• Provision of Apple laptops for new employees
• Annual training and development budget to support continuous learning
• Maternity and paternity leave for eligible employees
• Regular team offsites to foster collaboration and team bonding
• Inclusive and diverse workplace culture committed to equity and opportunity
  
  

Equal Opportunity

We are proud to be an Equal Employment Opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other basis protected by federal, state, or local law.