Staff Analytics Engineer

Company: babylist

Department: Data

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

Our team spans multiple time zones, but real connection drives great work. We embrace remote flexibility, but twice a year, we come together—once as a company, once by department. These offsites aren’t just meetings; they’re key moments to collaborate, build trust, and strengthen the relationships that make us successful. Showing up every day matters.

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.

Why You Will Love Working At Babylist

• We invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
• We build products that have a positive impact on millions of people’s lives
• We work at a sustainable pace which means work/life balance is a real thing here
• We believe technology and data can solve hard problems 
• We believe in exceptional management 
• We offer competitive pay and meaningful opportunities for career advancement
• We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
• We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning

Babylist takes a market-based approach to pay, and pay may vary depending on your location. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location.

The estimated pay range for this role is $158,945.00 - $233,625.00

In addition, Babylist offers equity, bonus, and benefits, including company paid health, dental and vision insurance, 401(k) matching, flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All of our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@babylist.com), instant messaging platforms or unsolicited calls.

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