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Senior Analytics Engineer
Hatch
United States
Remote
USD 90,000 - 120,000
Full time
Today
Be an early applicant

Job summary

A leading sleep technology company in the United States seeks an experienced analytics engineer to optimize data architecture and support product analytics initiatives. This role requires strong SQL and Python skills, along with a collaborative mindset. The company offers generous benefits including 100% paid medical insurance, parental leave, and a remote-friendly work environment.

Benefits

100% paid medical, dental, and vision insurance
16 weeks of fully paid parental leave
16 free therapy sessions
Financial support for family planning
Monthly internet reimbursement
Friends & family discounts on products
Exclusive discounts on travel and entertainment

Qualifications

  • 4+ years of experience in analytics engineering or related roles.
  • Strong proficiency in SQL and experience with dbt.
  • Understanding of data modeling principles and data warehouse concepts.

Responsibilities

  • Build understanding of data architecture and raw data transformation.
  • Implement data models and establish data quality frameworks.
  • Support product analytics by analyzing user behavior and metrics.

Skills

SQL
Python
Data modeling
Product analytics
Collaboration

Tools

dbt
Airflow
Prefect
Job description
Overview

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. Hatch is on a mission to help people build better sleep habits with best-in-class smart sleep devices and science-backed sleep content. More than 5 million sleepers use Hatch, with our baby products in 1 in 3 nurseries and our adult product, Restore, taking over nightstands worldwide.

The Opportunity

The Analytics team plays a critical role in understanding customers and achieving our mission. We are a rapidly growing team that uses data to uncover actionable insight, empower stakeholders to make better decisions, and identify opportunities to improve products and user experience.

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.

Perks & Benefits
  • 100% paid medical, dental, and vision insurance for employees
  • 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 more spontaneous perks
About Hatch

Designed by experts and loved by parents, our Rest family helps little ones 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? Apply now and join us in making great sleep a reality for all.

Are you legally authorized to work in the United States/Canada? Will you now or in the future require sponsorship for employment visa status?

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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