Lead Analytics Engineer

In this role you will lead the analytics engineering function to design scalable data reporting and analytics pipelines. You will shape end-to-end data models and establish best practices, guiding a team of analytics engineers. You’ll partner with product, engineering, and analytics to align data work with business goals and drive data-driven decision making. The opportunity offers impact at scale within a fast-growing global SaaS company that values learning and innovation.

• Stock grant opportunities
• remote work flexibility
• WeWork access
• Total rewards programs
• inclusivity and diversity
• competitive pay with market-aligned offers

• Lead the design and development of the data reporting layer and analytics pipelines to ensure they are scalable, maintainable, and meet business requirements
• Architect and implement complex end-to-end data models, establishing patterns and best practices for the team to follow
• Provide technical oversight for the analytics engineering team, conducting code and design reviews to ensure quality and consistency
• Mentor and train analytics engineers, fostering continuous learning and adherence to best practices in data modeling and reporting
• Collaborate with cross-functional teams (product, engineering, analytics) and stakeholders to align data projects with broader business objectives and requirements
• Establish and enforce coding standards, documentation practices, and data governance policies within the analytics engineering function
• Coordinate and plan team deliverables, helping remove roadblocks and ensuring projects are delivered on time and to a high standard
• Contribute to strategic discussions by providing data-driven insights and inputs to product roadmaps and business strategies

• Bachelor in Computer Science
• At least 7 years of experience in data analytics engineering or a closely related data role, including leading projects or teams
• Expert proficiency in SQL and experience with complex data modeling (dbt or similar) and data warehousing concepts
• Strong programming skills (Python) and ability to design efficient data pipelines and integrations
• Experience setting technical standards and guiding a team in best practices for data engineering/analytics
• Excellent communication and collaboration skills, with the ability to work across teams and influence technical decisions
• Deep understanding of how data supports business strategy, with the ability to align technical solutions to business goals

• excellent communication
• collaboration
• mentorship and coaching
• SQL
• dbt or similar
• data warehousing concepts