Staff Analytics Engineer, Babylist

• 10+ years of hands-on experience in analytics, data engineering, or analytics engineering with demonstrated increasing leadership responsibilities
• Deep proficiency in SQL, including architecting scalable transformations and frameworks to handle enterprise-scale datasets
• Advanced experience with dbt, including designing centralized metrics layers, custom macros, and reusable transformations to standardize data practices company-wide
• Extensive proficiency with Python, including designing reusable frameworks, advanced patterns (e.g., decorators, multithreading), and integrations for data workflows
• Proficiency in Sigma or similar data visualization tools, including the ability to create reusable templates and optimize dashboards
• Experience with cloud-based data warehouses (e.g., Snowflake) and ETL/ELT pipelines
• Proven track record of aligning technical solutions with long-term strategic priorities and communicating technical vision to leadership audiences
• Ability to diagnose complex business challenges and design innovative, scalable solutions that address both short-term and long-term goals
• Demonstrated leadership in cross-functional collaboration, building alignment across diverse teams, and influencing organizational priorities
• Experience mentoring teams and leading initiatives to improve data practices, tooling, and collaboration across the organization

Desirable

• We are seeking a Staff Analytics Engineer to take a leadership role in designing, building, and scaling our core data platform and data products
• This role is pivotal in driving company-wide data strategy and ensuring our data infrastructure supports impactful, scalable, and future-proof business outcomes
• Lead the design and implementation of scalable SQL transformations, frameworks, and governance practices to support data pipelines and models across the organization
• Drive thought leadership to define the team’s dbt strategy through innovations like centralized metric definitions, CI testing frameworks, and organization-wide alignment of data models
• Develop advanced dbt structures like custom macros and metrics layers to enhance flexibility and scalability
• Architect and standardize reusable data models to scale analytics across the company, ensuring alignment with enterprise-wide goals and future scalability
• Define and scale development, quality, and governance standards for Sigma; leading the adoption of advanced features and workflows to maximize efficiency and cross-team alignment
• Collaborate with senior leadership and cross-functional stakeholders to define and execute on data strategies that align with broader company objectives
• Proactively identify and address systemic inefficiencies in workflows and processes, introducing scalable, sustainable improvements across teams
• Mentor and guide team members, junior engineers and data users to develop their skills in advanced techniques, tools, and best practices while fostering a collaborative culture
• Drive innovation in analytics and experimentation, identifying opportunities for advanced methodologies and creating frameworks to scale these efforts across the organization