Analytics Engineer

About Deel

Deel is the all-in-one payroll and HR platform for global teams, dedicated to unlocking global opportunity for every person, team, and business. Built for today's world, Deel seamlessly combines HRIS, payroll, compliance, benefits, performance, and equipment management. With AI-powered tools and a fully owned payroll infrastructure, Deel supports all worker types across 150+ countries, helping businesses scale smarter, faster, and more compliantly.

As one of the largest globally distributed companies, Deel's team of 7,000 spans over 100 countries and speaks 74 languages, fostering a connected and dynamic culture that drives 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 borders in hiring and career opportunities. We are building the infrastructure for the future of work, promoting a more diverse and inclusive global economy. In 2024, Deel processed $11.2 billion in payments across nearly 100 currencies and provided healthcare and benefits in 109 countries, ensuring global workers are paid and protected.

Deel's momentum is evident through accolades like CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and consistent recognition on Y Combinator’s top companies list. Customer satisfaction is high, with a 4.83 average rating from 15,000 reviews across major platforms.

Joining Deel offers a career accelerator, placing you at the forefront of the global work revolution where you'll tackle complex challenges impacting millions. With a $17.3 billion valuation and $1 billion in Annual Recurring Revenue (ARR) in just over five years, you will drive significant impact and build expertise as a leader in global work transformation.

About the Analytics Engineer Role

As an Analytics Engineer at Deel, you will play a crucial role in shaping our data landscape, specifically within product analytics. This position involves transforming raw data into reliable, accessible, and actionable insights that drive product development and business strategy.

Responsibilities

• Design, develop, and maintain robust data models, primarily using dbt, ensuring alignment with overall data architecture and business requirements.
• Manage end-to-end data pipelines, covering data extraction, transformation, and loading, to deliver timely and accurate data for analysis.
• Utilize advanced SQL queries and macros for efficient data transformation, with a focus on optimizing query performance.
• Implement comprehensive data quality checks and cleansing routines to guarantee the reliability and accuracy of datasets.
• Collaborate closely with data analysts and other analytics engineers to maintain consistency and accuracy in metrics and definitions across teams.
• 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.
• Minimum of 3 years of experience in a similar data analytics engineering or Business Intelligence development role.
• Demonstrated proficiency in SQL, coupled with hands-on experience in data modeling tools like dbt and strong understanding of data warehousing concepts.
• Practical experience with business intelligence platforms, including developing dashboards in tools such as Looker, Tableau, or similar.
• Foundational programming skills in Python or a comparable language for data processing and automation tasks.
• Proven capability to manage multiple data projects concurrently, troubleshoot data issues effectively, and consistently meet deadlines.
• Strong communication skills, enabling effective collaboration with both technical and non-technical team members.

Total Rewards & Benefits

Deel offers competitive pay, scalable benefits, rewards, and perks designed to reflect a commitment to inclusivity and access for all. Benefits include stock grant opportunities (dependent on role, employment status, and location), additional perks specific to employment status and country, and the flexibility of remote work with optional WeWork access.

Key skills/competency

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