Senior Analytics Engineer

📋 Description

• Design, build, and maintain scalable data pipelines and data models that power analytics
• Develop dashboards, reports, and analytical tools that make complex behavioral data accessible
• Partner with business and product stakeholders to define, document, and validate meaningful
• Ensure data quality, consistency, reliability, and performance across systems processing billions
• Collaborate with analysts, software engineers, product managers, and other stakeholders to
• Work extensively with SQL, Python, and distributed data technologies to process and model

🎯 Requirements

• Strong professional experience building data pipelines, data models, analytics tooling, and other
• Expert-level SQL skills and experience working with large-scale datasets and distributed data
• 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
• Strong understanding of business metrics, including how to define, validate, interpret, and
• Understanding of product funnels and ecommerce metrics such as revenue, conversion, engagement, and

🎁 Benefits

• Competitive base salary of $80,000–$120,000 USD, depending on knowledge, skills, experience, and
• 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
• Work-from-home stipend to help create a productive and comfortable home office.
• Apple laptop provided for new employees.