Senior Data Analyst: Multiple Teams

Accountabilities: Analyze user behavior and large-scale datasets to uncover patterns, identify issues, and surface opportunities for product and business improvement. Design, run, and analyze A/B tests to evaluate product changes and quantify their impact on key business metrics. Define, validate, and monitor metrics that capture both user experience and business outcomes. Build dashboards, reports, analytical tools, and other data resources that support informed decision-making across multiple teams. Partner with engineers, data scientists, product managers, customers, and business stakeholders to translate analytical findings into actionable product improvements. Investigate product funnels, performance trends, and user behavior to identify opportunities for optimization. Apply SQL, Python, and distributed data systems to process, explore, and analyze large volumes of data. Contribute analytical expertise across different domains, which may include data science integrations, ranking, recommendations, AI shopping agents, search optimization, personalization, and retail media. Help teams understand machine learning-related data, including training data quality, model evaluation, and relevant performance metrics. Communicate findings and recommendations clearly, adapting the level of technical detail to different audiences and stakeholders. Take ownership of analytical projects from problem definition and investigation through to recommendations and measurable outcomes. Requirements: 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. Benefits: Fully remote working environment, giving you flexibility over where you live and work. Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks per year. Work-from-home stipend to help you create an effective home-office setup. Apple laptop provided for new employees. Annual training and professional development budget. Maternity and paternity leave for eligible employees. Opportunity to work with talented and empathetic colleagues while contributing to meaningful, high-impact projects. Regular team offsite events to connect and collaborate. Base salary of $80,000–$120,000 USD , depending on knowledge, skills, experience, and interview results. Stock options offered in addition to the base salary.