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Senior Analytics Engineer Distributed, + (US + Canada)

Senior Analytics Engineer Distributed, + (US + Canada)

Hatch, Inc.California, MO, US
20 hours ago
Job type
  • Full-time
Job description

There's nothing like a great night's sleep—the cozy, wrapped-up-in-a-heavy-blanket kind of sleep. The fire-crackling, curtains-drawn, DO NOT DISTURB kind of sleep. You know, the good stuff.

But here's the thing : while 85% of people agree sleep is the key to their well-being, more than half are unsatisfied with their own. Whether it's stress, interruptions, work, or little ones waking in the night, so many people need help getting truly restorative rest.

That's where we come in. At Hatch, we're on a mission to help people build better sleep habits—so they can feel more focused, energized, and present in their lives. We've designed best-in-class smart sleep devices, paired with science-backed sleep content, to help people unwind nightly, sleep deeply, and wake gently. More than 5 million sleepers of all ages have made space for rest with Hatch, with our baby products in 1 in 3 nurseries and our adult product, Restore , taking over nightstands (and TikTok) worldwide.

The Opportunity

The Analytics team plays a critical role in how we understand our customers and achieve our mission to help people get their best sleep. We are a rapidly growing team that uses data to uncover actionable insight, empower our stakeholders to make better business decisions, and identify opportunities to improve our products and user experience.

As a Senior Analytics Engineer, you will be responsible for building and maintaining the data infrastructure that powers our analytics capabilities. You'll design data models, implement quality frameworks, and create scalable pipelines that transform raw data into trusted, curated datasets. This is a high-impact role that must be based in the United States or Canada. Hatch is based out of California, so this role would be asked to be available during PST / PDT hours.

What you'll do

Within 3 months

  • Build a comprehensive understanding of our data architecture, sources, and downstream consumption patterns
  • Implement dbt models to transform raw data into clean, reliable datasets for analytics consumption
  • Partner with Engineering to optimize data collection and pipeline performance
  • Support product analytics initiatives by creating dashboards and conducting ad hoc analysis

Within 6 months

  • Design and maintain data models using dbt, following software engineering best practices
  • Establish data quality testing and monitoring frameworks to ensure data accuracy and freshness
  • Create documentation and data lineage to improve data discoverability and trust
  • Collaborate with analysts and stakeholders to understand data requirements and optimize performance
  • Contribute to product analytics by analyzing user behavior, feature adoption, and product performance metrics
  • After 1 year

  • Contribute to the design and implementation of data governance framework and best practices
  • Build solutions for data integration challenges across multiple systems and sources
  • Support other team members in adopting analytics engineering practices and data modeling techniques
  • Drive initiatives to improve data infrastructure and reduce time-to-insight across the organization
  • What you'll bring

  • 4+ years of experience in analytics engineering, data engineering, or related quantitative roles
  • Strong proficiency in SQL and experience with modern data transformation tools (dbt preferred)
  • Programming skills in Python and familiarity with workflow orchestration tools (Airflow, Prefect, etc.)
  • Understanding of data modeling principles, dimensional modeling, ELT / ETL processes, and data warehouse concepts
  • Proficient in product analytics with strong data modeling and visualization skills focused on actionable product insights.
  • A passion for collaboration and strong cross-functional communication skills to partner effectively with both technical and non-technical teams.
  • Customer-centric mindset with passion for using data to improve user experiences
  • Intense curiosity and drive to understand the inner workings, take a deep dive into the data, and fix what's broken to help us achieve our goals.
  • Why You'll Love Working at Hatch

    We're a certified Great Place to Work! 93% of our employees say Hatch is a great place to work.

    You'll work with an amazing leadership team that truly values employees and leads with our company values every day.

    We help people sleep better! Our products make a meaningful impact on people's lives.

    Our team is collaborative, fun, and full of brilliant minds.

    We're backed by world-class investors and growing fast!

    We support flexibility with a remote-friendly work environment.

    The Perks & Benefits That Matter

    100% paid medical, dental, and vision insurance for employees (80% for dependents, including domestic partners)

    16 weeks of fully paid parental leave

    16 free therapy sessions (for you + one other adult in your life)

    Financial support for family planning

    Remote office + monthly internet reimbursement

    Friends & family discounts on Hatch products

    Exclusive discounts on travel, entertainment, and top retail brands

    And so many more spontaneous perks!

    About Hatch

    Designed by experts and loved by parents, our Rest family —including Rest, Rest+, and Rest Go—helps little ones (and their grown-ups) build healthy sleep routines. For adults, Hatch Restore is a fully customizable smart sleep clock and sunrise alarm designed to help you unwind nightly, sleep deeply, and wake gently.

    Founded in 2014 by parent entrepreneurs Ann Crady Weiss and Dave Weiss and featured on Shark Tank, Hatch is headquartered in Menlo Park, California.

    We are an equal opportunity employer and are committed to building a diverse and inclusive team. We welcome applicants of all backgrounds, experiences, and perspectives.

    Ready to Help the World Sleep Better?

    We'd love to hear from you! Apply now and join us in making great sleep a reality for all.

    #J-18808-Ljbffr

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    Engineer Distributed • California, MO, US

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