Analytics Engineer, Product

Global platform enabling businesses to hire anyone, anywhere, providing international payroll and compliance solutions.
$100,000 - $180,000
Data
Mid-Level Software Engineer
Remote
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS

Description For Analytics Engineer, Product

Deel is revolutionizing the global hiring landscape as a market-leading platform that enables businesses to hire talent worldwide. Recently valued at $12B after raising an additional $50M in 2023, Deel provides a comprehensive platform for global payroll and compliance solutions.

As an Analytics Engineer in the Product team, you'll play a crucial role in shaping the company's data infrastructure. You'll work closely with Product Analysts to maintain and optimize product datasets, implement robust documentation, and drive best practices in analytics engineering. The position requires expertise in SQL, Snowflake, DBT, and Looker, combining technical skills with business acumen.

The role offers an exciting opportunity to work with a diverse global team spanning over 100 countries, contributing to a platform that's reshaping how companies hire and manage global talent. You'll be part of a fast-growing company that values innovation and maintains a unified yet diverse culture.

Key responsibilities include owning product datasets, implementing analytics engineering best practices, and collaborating across teams to promote effective data utilization. The ideal candidate will bring strong technical skills, experience with data warehousing and BI architecture, and a product-oriented mindset.

Benefits include competitive compensation, stock grants, flexible remote work options, and various perks based on location and employment status. Join Deel's mission to create a world without hiring borders, where exceptional talent can connect with great opportunities regardless of location.

Last updated 8 days ago

Responsibilities For Analytics Engineer, Product

  • Own product datasets, ensuring they are clean, tested and easy to understand
  • Create robust documentation for product analytics terminology
  • Implement best analytics engineering practices with DBT models
  • Collaborate with different teams within the organization
  • Make intelligent choices for new technology adoption
  • Work with Product Analysts on the Product analytics team

Requirements For Analytics Engineer, Product

  • Proficiency in SQL, Snowflake, DBT, LookML, and Looker
  • Bachelor's Degree in Computer Science, Math or equivalent
  • Experience designing and implementing data warehouse, modern BI architecture
  • Experience with version control tools (GitHub, GitLab)
  • Product analytics and/or data engineering experience preferred
  • Experience with large-scale data model refactoring

Benefits For Analytics Engineer, Product

Equity
  • Provided computer equipment tailored to your role
  • Stock grant opportunities
  • Additional perks and benefits based on employment status and country
  • Flexible remote work
  • WeWork access where available

Interested in this job?

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