Senior Data Analyst: Multiple Teams

You will work at the intersection of data, product, and machine learning, helping teams turn complex datasets into actionable business and product insights.
Your analysis will support a range of teams working across data science, ranking, recommendations, personalization, AI-powered shopping, search optimization, and retail media.
You will investigate user behavior, identify opportunities, and evaluate how product changes affect both customer experience and business performance.
A key part of the role will be designing experiments, defining meaningful metrics, and using statistical analysis to guide product decisions.
You will work with large-scale datasets using SQL and Python while building dashboards and analytical tools that make data accessible to decision-makers.
The role offers broad exposure to engineers, data scientists, product managers, customers, and business stakeholders.
You will join a collaborative, fast-moving environment where analytical thinking, ownership, clear communication, and measurable impact are highly valued.

• Strong analytical and problem-solving skills, with demonstrated experience using data to address business and product questions.
• Solid knowledge of SQL and experience working with large-scale datasets.
• Professional experience using Python for data analysis, including tools such as pandas, NumPy, and data visualization libraries.
• Good understanding of A/B testing, experimentation methodologies, and core statistical concepts.
• Experience defining and analyzing product metrics, metric trees, funnels, and other frameworks for measuring product performance.
• Understanding of machine learning pipelines, training data quality, and model evaluation.
• Familiarity with search relevance, ranking, or recommendation systems is a plus.
• Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Strong communication skills, with the ability to explain complex insights clearly to technical and non-technical stakeholders.
• Comfortable collaborating with multiple stakeholders in a fast-paced, cross-functional environment.
• Ability to work autonomously, take ownership of projects, and proactively identify opportunities to improve products and processes.
• Experience in a customer-facing role is a plus.
• Previous experience in e-commerce or product analytics is a plus.