Staff Analytics Engineer

About the Role

Key Responsibilities

• Defining and enabling trusted, strategic datasets and analytics solutions that empower data consumers to quickly and reliably gain insights at scale.
• Leading efforts to enhance self-serve analytics across the organization through advanced administration, adoption strategies, and training for analytics tools such as Looker and Amplitude.
• Partnering strategically with analysts, product managers, and product engineers to ensure the analytics infrastructure meets evolving business requirements and is robust and maintainable.
• Architecting and developing production-grade data transformations and models using SQL, DBT, and Dagster, ensuring optimal performance, maintainability, scalability, and reliability.
• Collaborating closely with data engineering on strategic infrastructure initiatives to enhance data ingestion, processing pipelines, and integration of new data sources.
• Driving the establishment and continuous improvement of standards around data governance, security, privacy, quality, and retention, influencing best practices across the organization.

Requirements

• 6+ years of experience as an analytics engineer, data engineer, or similar role.
• 3+ years of experience using DBT & DBT Core, with a strong understanding of data modeling and data warehousing concepts.
• Expertise in writing performant SQL, especially within cloud-based data warehouses like Snowflake, and strong Looker developer skills, with an emphasis on LookML modeling and project design.
• Experience managing the administration and/or adoption of data visualization tools (e.g., Looker) and event-based analytics/user journey tools (e.g., Amplitude).
• Proficiency with Python.
• Experience with Dagster or other orchestration tools.
• Experience utilizing AI Codegen to improve workflow efficiency.
• Knowledge of data governance principles, KPI management, and supporting data operations for business intelligence.
• Ability to navigate ambiguity and work with urgency in a fast-moving environment with multiple stakeholders.
• Good communication skills across all levels of stakeholders (business & technical) with the ability to influence and build consensus.

Nice to Have

• Experience with data governance principles, KPI management, and supporting data operations for business intelligence.

Qualifications

• 6+ years of experience in relevant roles.
• Experience with cloud-based data warehouses like Snowflake.
• Strong SQL and LookML modeling skills.

Benefits & Perks

• Flexible, hybrid work environment.
• Unlimited PTO.
• 100% paid employee health benefit options.
• Employer funded 401(k) match.
• Corporate wellness programs with Headspace and Peloton.
• Sabbatical leave (for employees with 5+ years of service).
• Competitive parental leave.
• Cell phone reimbursement.
• Great Place to Work Certified.
• Catered lunch every day along with snacks.
• Commuter Benefits.
• Convenient Soho location.