Analytics Engineer - Product Analytics

Who We Are Is What We Do.

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

Why You Should Be Part of Our Success Story

As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.

Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.

Responsibilities of an Analytics Engineer - Product Analytics:

• Design, develop, and maintain data models (e.g., in dbt) that align with the overall data architecture and business requirements.
• Manage data pipelines end-to-end, from data extraction to transformation and loading, to provide timely and correct data for analysis.
• Utilize complex SQL queries and macros to transform data efficiently, optimizing queries for performance as needed.
• Incorporate data quality checks and cleansing routines to ensure datasets are reliable and accurate.
• Work closely with data analysts and other analytics engineers to ensure consistency and accuracy in metrics and definitions across the team.
• Contribute to team processes by occasionally leading portions of meetings or sharing improvements to analytics workflows.

Qualifications:

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics).
• At least 3 years of experience in a similar data analytics engineering or BI development role.
• Strong proficiency in SQL and experience with data modeling tools (such as dbt) and data warehousing concepts.
• Hands-on experience with business intelligence platforms (e.g., building dashboards in Looker, Tableau, or similar).
• Basic programming skills in Python or a similar language for data processing and automation.
• Proven ability to handle multiple data projects, troubleshoot data issues, and meet deadlines.
• Good communication skills, with the ability to collaborate with technical and non-technical team members.

Total Rewards:

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

Some things you’ll enjoy:

• Stock grant opportunities dependent on your role, employment status and location.
• Additional perks and benefits based on your employment status and country.
• The flexibility of remote work, including optional WeWork access.

Key skills/competency:

• Data Modeling
• dbt
• SQL
• Data Pipelines
• Product Analytics
• Business Intelligence (BI)
• Data Quality
• Python
• Looker
• Tableau