Analytics Engineer - Product Analytics

About Deel

Deel is the all-in-one payroll and HR platform for global teams, aiming to unlock global opportunity for every person, team, and business. Built for today's world of work, Deel integrates HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless, AI-powered platform. Supporting every worker type across 150+ countries, Deel enables businesses to scale smarter, faster, and more compliantly.

Our globally distributed team of 7,000 spans over 100 countries, speaks 74 languages, fostering a connected culture of continuous learning and innovation.

Why Join Deel?

As the fastest-growing Software as a Service (SaaS) company in history, Deel is revolutionizing how global talent connects with world-class companies, breaking down traditional hiring and career barriers. We are building the infrastructure for the future of work, promoting a diverse and inclusive global economy. In 2024, we processed $11.2 billion in payments across nearly 100 currencies and provided healthcare/benefits in 109 countries, ensuring global worker protection and timely payments.

Our success is recognized through accolades like CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated inclusion on Y Combinator’s top companies list, alongside a 4.83 average rating from 15,000 reviews.

A career at Deel is a true accelerator. You'll tackle complex challenges impacting millions of lives at the forefront of the global work revolution. With a $17.3 billion valuation and $1 billion in Annual Recurring Revenue (ARR) in just over five years, you'll drive significant impact and develop expertise highly sought after in transforming global work.

Responsibilities of an Analytics Engineer - Product Analytics

• Design, develop, and maintain robust data models, using tools like dbt, that align with the overall data architecture and critical business requirements.
• Manage end-to-end data pipelines, from extraction through transformation to loading, ensuring timely and accurate data delivery for analysis.
• Utilize complex SQL queries and macros to efficiently transform data, continuously optimizing query performance.
• Integrate comprehensive data quality checks and cleansing routines to guarantee the reliability and accuracy of all datasets.
• Collaborate closely with data analysts and fellow analytics engineers to establish consistency and accuracy in metrics and definitions across the team.
• Actively contribute to team processes, occasionally leading meetings or proposing improvements to analytics workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
• At least 3 years of experience in a data analytics engineering or Business Intelligence (BI) development role.
• Strong proficiency in SQL, coupled with hands-on experience in data modeling tools (e.g., dbt) and data warehousing concepts.
• Practical experience with business intelligence platforms, including building dashboards in tools like Looker, Tableau, or similar.
• Foundational programming skills in Python or a similar language, applicable to data processing and automation tasks.
• Demonstrated ability to manage multiple data projects, troubleshoot complex data issues, and consistently meet deadlines.
• Excellent communication skills, enabling effective collaboration with both technical and non-technical team members.

Key skills/competency

• Data Modeling
• dbt
• SQL
• Data Pipelines
• Data Warehousing
• ETL
• Business Intelligence
• Python
• Data Quality
• Looker/Tableau