Senior Analytics Engineer

Accountabilities

• Design, build, and maintain scalable data pipelines and data models that power analytics, reporting, and business decision-making.
• Develop dashboards, reports, and analytical tools that make complex behavioral data accessible, reliable, and actionable.
• Partner with business and product stakeholders to define, document, and validate meaningful business metrics rather than simply implementing predefined requirements.
• Ensure data quality, consistency, reliability, and performance across systems processing billions of events.
• Collaborate with analysts, software engineers, product managers, and other stakeholders to translate business questions into well-designed data models and solutions.
• Work extensively with SQL, Python, and distributed data technologies to process and model large-scale datasets.
• Build data products that support teams across the organization and, where relevant, customer-facing or embedded analytics experiences.
• Take ownership of analytics areas end-to-end, from understanding the underlying business problem through implementation, validation, and ongoing improvement.
• Contribute to the evolution of modern analytics infrastructure, modeling practices, orchestration, and data tooling.

Requirements

• Strong professional experience building data pipelines, data models, analytics tooling, and other production-grade data solutions.
• Expert-level SQL skills and experience working with large-scale datasets and distributed data systems.
• Strong Python experience for data processing, automation, analytics, or internal tooling.
• Experience with modern analytics engineering stacks and tools such as dbt, Airflow, or comparable modeling and orchestration technologies.
• Strong understanding of business metrics, including how to define, validate, interpret, and communicate them effectively.
• Understanding of product funnels and ecommerce metrics such as revenue, conversion, engagement, and customer behavior.
• Ability to translate stakeholder requirements and business questions into robust data models, dashboards, reports, and analytical tools.
• Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Demonstrated ownership and ability to manage an analytics domain end-to-end in a fast-paced environment.
• Strong problem-solving mindset and attention to data quality, consistency, scalability, and performance.
• Experience developing customer-facing or embedded analytics is a plus.
• Previous experience working in ecommerce is a plus.
• Interest in working with large-scale behavioral data, search, personalization, AI, or other data-intensive products is a plus.

Benefits

• Competitive base salary of $80,000–$120,000 USD, depending on knowledge, skills, experience, and interview results.
• Stock options offered in addition to base salary.
• Fully remote working environment, with flexibility to choose where you live.
• Unlimited vacation policy, with employees strongly encouraged to take at least three weeks of vacation each year.
• Work-from-home stipend to help create a productive and comfortable home office.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.
• Regular team offsites designed to encourage collaboration, connection, and relationship building.
• Opportunity to work with talented, empathetic colleagues in a collaborative and continuously improving environment.
• Exposure to extremely large-scale data systems processing billions of events and supporting users across numerous markets and languages.
• Opportunity to contribute to cutting-edge applications of AI, search, personalization, analytics, and ecommerce technology.
• Fully distributed international team offering the flexibility and autonomy of remote work.