Data Analyst: Ranking Team

The Ranking Team builds and optimizes machine learning models that determine what products shoppers discover through search and how effectively they find the items they're looking for in our Customers’ e-commerce platforms. We're looking for a Data Analyst to evaluate and improve the performance of ranking models, features, and configurations across our large-scale experimentation program—running 10s to 100s of A/B tests monthly and processing terabytes of data. Your work will help shape key metrics, interpret user behavior, and drive product and algorithm improvements.

As the first data analyst on our 6-person ranking team, you'll collaborate closely with engineers (who develop the platform and improve ML algorithms), data scientists, and product managers to define success, uncover insights, and influence roadmap decisions through data.

Challenges you will tackle

• Analyze Ranking Performance: Evaluate A/B tests across models, configurations, and customer segments to quantify business impact and guide ML development. Investigate training data quality, model performance trends, and feature effectiveness at scale.

• Understand Shopper Behavior: Investigate how ranking changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.

• Design & Validate Metrics: Define new metrics to measure search relevance, personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.

• Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. Develop debugging tools to explain ranking decisions and identify performance issues.

• Drive Data-Informed Decisions: Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.

Requirements

• Advanced Analytics & A/B Testing: 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets. Experience with statistical testing and practical experiment design.

• SQL & Big Data Expertise: Write optimized SQL queries for terabyte-scale data extraction and transformation. Proficiency with distributed systems like Spark for large-scale data processing.

• Python Programming: Strong skills in exploratory analysis, custom metrics development, and building internal tools. Experience with data science libraries and automation.

• Machine Learning & Search Systems: Understanding of ML pipelines, training data quality, and ranking/recommendation metrics. Familiarity with search relevance and personalization concepts.

• Metrics Design & Validation: Design metrics that accurately reflect model and product performance. Ensure alignment between technical metrics and business outcomes.

• Data Visualization: Create compelling dashboards using Tableau, Looker, or custom dashboards in Python. Present complex findings clearly to both technical and executive audiences.

• Cross-Functional Leadership: Influence product and engineering decisions through data storytelling. Collaborate effectively across teams to drive ML and product improvements.

• Product-Minded & Business-Focused: Deep curiosity about user behavior and business impact. Connect algorithm changes to real-world customer outcomes.

• Time Zone Availability: Must be available between 9:00–15:00 UTC.

Benefits

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year

• 🌎 Fully remote team - choose where you live 

• 🛋️ 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

• 🧠 Work with smart people who will help you grow and make a meaningful impact

• 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.

• 🎉 Regular team offsites to connect and collaborate