Analytics Engineer, Product

Global platform enabling businesses to hire and pay talent worldwide, with a $12B valuation and presence in over 100 countries.
Data
Mid-Level Software Engineer
Remote
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Analytics Engineer, Product

Deel is revolutionizing global hiring as a market-leading platform that enables businesses to hire anyone, anywhere with ease. With a recent $50M raise in 2023 and a $12B valuation, Deel is at the forefront of international payroll and compliance solutions. As an Analytics Engineer in the Product team, you'll be integral to the Product analytics team, working with Product Analysts to maintain and optimize data infrastructure. You'll own product datasets, ensure data quality, and implement best practices in analytics engineering using tools like DBT and Looker. The role requires strong technical skills in SQL, Snowflake, and data warehousing, combined with excellent communication abilities to collaborate across teams. You'll be part of a diverse global team spanning over 100 countries, contributing to a platform that connects millions of jobs worldwide with the best talent. The position offers competitive compensation, including stock grants, flexible remote work options, and various perks based on location and employment status. This is an opportunity to shape the future of global workforce solutions while working with cutting-edge data technologies and practices.

Last updated 2 days ago

Responsibilities For Analytics Engineer, Product

  • Own product datasets, making sure those are clean, tested and easy to understand by all stakeholders
  • Create robust documentation to drive awareness and standardize product analytics terminology
  • Implement best analytics engineering practices, to produce high quality, maintainable, and scalable DBT models
  • Collaborate with different teams within the organization
  • Make intelligent choices for the adoption of new technologies

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 a data warehouse, modern BI architecture
  • Experience with version control tools (GitHub, GitLab)

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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