Remote (Global)

Constructor is hiring a Product Data Analyst: AI Shopping Agents (Remote)

Constructor is seeking a Product Data Analyst to join our Agent Products team. In this remote role, you will drive product strategy for AI-powered shopping agents by uncovering insights from user behavior and validating changes through A/B testing.

What You'll Do

  • Drive product strategy by uncovering actionable insights from user behavior and validating changes through A/B testing
  • Define, monitor, and visualize key performance indicators (KPIs) through dashboards for all levels of the company
  • Collaborate with cross-functional partners in engineering, product management, design, and user research
  • Build and maintain clean, reliable data tables to improve analytical efficiency and democratize data access for the entire team

What We're Looking For

  • 3+ years of experience in data science or a similar analytical role
  • Proven track record of thriving in fast-paced, consumer-focused environments
  • Proactive and autonomous self-starter, excels at navigating ambiguity and taking full ownership of complex projects
  • Excellent communicator, can effectively translate business needs into technical requirements and vice-versa

Nice to Have

  • Previous experience as a data scientist in a startup or e-commerce environment
  • Expert-level SQL proficiency for complex data exploration and transformation
  • Hands-on experience with Python and PySpark for data analysis
  • Experience with data stack including Databricks, Redash (or similar BI tools)
  • Basic understanding of data pipeline development and ETL processes
  • Knowledge of OLAP technologies, particularly Cube or similar semantic layer tools
  • Ability to build and maintain data pipelines to power analytical applications
  • Experience with data orchestration tools (e.g., Airflow, Dagster, Prefect)
  • Experience implementing data quality monitoring and testing frameworks

Technical Stack

  • SQL
  • Python
  • PySpark
  • Databricks
  • Redash
  • Cube

Team & Environment

You will be part of the Agent Products team at Constructor. Our culture values empathy, openness, curiosity, and continuous improvement. We are a passionate team who love solving problems, want to make customers' and coworkers' lives better, and get excited by metrics that matter.

Benefits & Compensation

  • Base salary range: $80k-$120k USD
  • Unlimited vacation time (encouraged to take at least 3 weeks per year)
  • Fully remote team
  • Work from home stipend
  • Apple laptops provided
  • Training and development budget for every employee, refreshed each year
  • Maternity & Paternity leave for qualified employees
  • Regular team offsites to connect and collaborate

Work Mode

This is a fully remote, global position.

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Required Skills
SQLPythonPySparkDatabricksRedashCubeData AnalysisProduct AnalyticsA/B TestingStatistical AnalysisData ModelingBusiness IntelligenceData VisualizationMachine Learning ConceptsE-commerce SQLPythonPySparkDatabricksRedashCubeData AnalysisProduct AnalyticsA/B TestingStatistical AnalysisData ModelingBusiness IntelligenceData VisualizationMachine Learning ConceptsE-commerce
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About company
Constructor
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Its search engine is entirely invented in-house utilizing transformers and generative LLMs, and powers capabilities from search to recommendations to shopping agents. It handles over 1 billion queries daily across 150 languages and ~100 countries, serving major ecommerce brands like Sephora, Under Armour, and Petco.
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Posted 3 months ago