Staff Analytics Engineer

Salary

$158,945.00 - $233,625.00

Location

Remote

Who We Are

Babylist is the trusted platform for millions of growing families. For over a decade, Babylist has been the technology solution for expecting parents and the community that supports them, expanding from baby registry into a full-service platform that helps parents make decisions with confidence, stay connected, and build happy and healthy families. Every year Babylist helps over 9M people make purchases through its registry, app, ecommerce shop, and comprehensive product guides. The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps, Expectful, a new voice in health and wellness for pre-pregnancy through postpartum care, and The Push, a branded content studio that works with the biggest companies in the baby space. With over 59M monthly pageviews and 1.2M TikTok followers, Babylist is a generational brand leading the $88 billion baby product industry. To learn about Babylist’s registry options, editorial content, and more, visit www.babylist.com

Our Ways of Working

We have team members located across the United States and Canada spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees.

We know that personal connection is the foundation for the great work we do together. In order to build those relationships with team members in other cities, we meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These offsites are expected of employees and are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually.

Our Tech Stack:

Data Platform: Snowflake
Data Orchestration: Airflow, dbt, Stitch
Data Quality: Monte Carlo
Data Governance: Atlan
BI: Sigma

What the Role Is

The Data Team at Babylist powers data-driven decision-making across every aspect of the company’s business. As a product function, we focus on three core aspects of data: engineering, analysis, and data science. 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.

You are a proactive, solution-oriented data leader who thrives on solving complex data challenges. You excel at building scalable data solutions, mentoring others, and driving cross-functional collaboration. You have a track record of influencing strategic decision-making and aligning technical solutions with long-term business priorities. Most of all, you are passionate about leveraging data to create transformative business outcomes. Join us at Babylist to make an impact as part of a team that values collaboration, innovation, and intentional focus.

Who You Are

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

How You Will Make An Impact

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.

Nice to Have

Experience with data cataloging and metadata management tools, such as Atlan, Alation, or similar platforms, to drive discoverability, community, and governance of data assets.
Proven ability to lead cross-functional initiatives that improve data quality and reliability, such as implementing data observability frameworks or designing automated data validation processes.
Experience driving cost optimization initiatives in cloud-based data platforms, including warehouse efficiency, query optimization, and storage strategy.
Knowledge of event-driven architectures and tools such as Kafka or AWS SNS/SQS for building scalable, real-time data pipelines.
Experience integrating and scaling third-party tools or platforms to enhance data workflows, such as automation tools, observability platforms, or advanced ETL/ELT solutions.

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