DeelAnalytics Engineer (Marketing)
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 should you 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:
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
At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.
Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page_.
_Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives.
Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. If you have difficulty accessing the form, please email at recruiting@deel.com.
As part of our hiring process, we primarily rely on interviews and role-related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations.
This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. As a fully remote company, we also utilise AI-powered deepfake and fraud detection technologies to verify the authenticity of candidate identities and interactions during assessments and interviews. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Privacy Policy.