Analytics Engineer, Marketing

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 global workforce, Deel integrates HRIS, payroll, compliance, benefits, performance, and equipment management. Leveraging AI-powered tools and a proprietary payroll infrastructure, Deel supports all worker types in over 150 countries, facilitating smarter, faster, and more compliant scaling for businesses.

As one of the largest globally distributed companies, Deel's team of 7,000 individuals spans more than 100 countries, speaks 74 languages, fostering a dynamic culture of continuous learning and innovation.

Why Join Deel?

Deel is the fastest-growing Software as a Service (SaaS) company in history, revolutionizing how global talent connects with world-class companies. We break down traditional hiring and career barriers, building the infrastructure for the future of work to enable 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.

Our achievements include recognition on CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and Y Combinator’s top companies list, alongside a 4.83 average rating from 15,000 reviews across major platforms. With a $17.3 billion valuation and $1 billion in Annual Recurring Revenue (ARR) in just over five years, joining Deel offers a significant career accelerator, allowing you to tackle complex challenges that impact millions and build sought-after expertise in the global work transformation.

Responsibilities of an Analytics Engineer, Marketing

• Design, develop, and maintain robust data models, often using dbt, that align with architectural standards and business requirements.
• Manage end-to-end data pipelines, from extraction to transformation and loading, ensuring timely and accurate data for analysis.
• Utilize advanced SQL queries and macros to efficiently transform data, with a focus on optimizing query performance.
• Implement data quality checks and cleansing routines to guarantee reliable and accurate datasets.
• Collaborate closely with data analysts and other analytics engineers to maintain consistency and accuracy in metrics and definitions across the team.
• Contribute to team processes, including occasionally leading meetings or proposing improvements to analytics workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related relevant field.
• At least 3 years of professional experience in a similar data analytics engineering or BI development role.
• Strong proficiency in SQL and practical experience with data modeling tools like dbt, alongside solid understanding of data warehousing concepts.
• Hands-on experience building dashboards and reports using business intelligence platforms such as Looker, Tableau, or similar tools.
• Basic programming skills in Python or a comparable language, specifically for data processing and automation tasks.
• Demonstrated ability to manage multiple data projects simultaneously, troubleshoot data issues effectively, and consistently meet deadlines.
• Excellent communication skills, enabling effective collaboration with both technical and non-technical team members.

Total Rewards & Perks

Deel is committed to fair and competitive pay, offering scalable benefits, rewards, and perks that reflect inclusivity and access. Some benefits include stock grant opportunities (dependent on role, employment status, and location), additional country-specific perks, and the flexibility of remote work with optional WeWork access.

Diversity & Inclusion

Deel is an equal-opportunity employer, valuing diversity and encouraging applications from all qualified candidates regardless of protected characteristics. Accommodations for applicants with disabilities are provided upon request.

Hiring Process Transparency

The hiring process primarily involves interviews and role-related assessments. In some cases, informal background information may be considered. Deel’s application process may utilize Automated Employment Decision Tools (AEDT) and AI systems for candidate evaluation, in compliance with data protection and AI governance laws, ensuring human oversight for all final hiring decisions. Personal data is not used to train AI models. For NYC Residents: an independent bias audit on AEDT results is available at Ashby, Covey.

Key skills/competency

• Data Modeling
• dbt
• SQL
• Data Pipelines
• Data Quality
• Business Intelligence
• Looker
• Tableau
• Python
• Data Transformation