Analytics Engineer, Marketing
Deel
Job Overview
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Job Description
About Deel
Deel is the all-in-one payroll and HR platform for global teams, dedicated to unlocking global opportunity. As the fastest-growing SaaS company in history, Deel is transforming how global talent connects with world-class companies, enabling a more diverse and inclusive global economy. Our platform combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless solution, supporting every worker type in over 150 countries. In 2024, we processed $11.2 billion in payments across nearly 100 currencies and provided healthcare and benefits in 109 countries. We are recognized as a CNBC Disruptor 50, Forbes Cloud 100, and Deloitte Fast 500 company, with a $17.3 billion valuation and $1 billion in ARR.
Your Role as an Analytics Engineer, Marketing
As an Analytics Engineer, Marketing at Deel, you will play a crucial role in designing, developing, and maintaining robust data models that align with our overall data architecture and critical business requirements. You will manage end-to-end data pipelines, ensuring timely and accurate data for comprehensive analysis, and optimize complex SQL queries for peak performance. A key aspect of this role involves incorporating rigorous data quality checks and cleansing routines to guarantee reliable datasets. You will also collaborate closely with data analysts and other analytics engineers to maintain consistency and accuracy in all metrics and definitions, contributing to team processes and workflow improvements.
Key Responsibilities
- Design, develop, and maintain data models (e.g., in dbt) aligning with data architecture and business needs.
- Manage end-to-end data pipelines, from extraction to transformation and loading, for timely and accurate data.
- Utilize complex SQL queries and macros to efficiently transform data, optimizing for performance.
- Incorporate data quality checks and cleansing routines to ensure data reliability and accuracy.
- Collaborate with data analysts and other analytics engineers for consistent metrics and definitions.
- Contribute to team processes, occasionally leading meetings or proposing workflow improvements.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
- 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 manage multiple data projects, troubleshoot data issues, and meet deadlines.
- Good communication skills, capable of collaborating effectively with technical and non-technical team members.
Total Rewards & Benefits
Deel offers competitive pay and scalable benefits designed to meet our diverse workforce's needs. Enjoy stock grant opportunities, additional perks based on your employment status and country, and the flexibility of remote work, including optional WeWork access.
Equal Opportunity Employer
Deel is an equal-opportunity employer committed to cultivating a diverse and inclusive workplace. We encourage applications from all qualified and eligible candidates, providing accommodations upon request throughout the recruitment process for applicants with disabilities. Our hiring process primarily relies on interviews and role-related assessments, and we utilize Automated Employment Decision Tools (AEDT) and AI systems to assist in candidate evaluation, with human oversight maintained for all final hiring decisions.
Key skills/competency
- Data Modeling
- dbt
- SQL Optimization
- Data Warehousing
- ETL Pipelines
- Data Quality
- Business Intelligence
- Python Programming
- Looker/Tableau
- Collaboration
How to Get Hired at Deel
- Research Deel's culture: Study their mission to unlock global opportunity, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their remote-first, globally distributed environment.
- Tailor your resume: Customize your resume to highlight experience in data modeling, SQL, dbt, and BI platforms, directly matching the Analytics Engineer, Marketing job description at Deel.
- Showcase your projects: Prepare to discuss specific data modeling, pipeline management, and SQL optimization projects, emphasizing the impact and your problem-solving approach.
- Understand Deel's product: Familiarize yourself with Deel's all-in-one payroll and HR platform to demonstrate genuine interest in their mission and how your skills can contribute.
- Prepare for technical and behavioral interviews: Brush up on data warehousing concepts, Python basics, and practice articulating your collaboration and project management skills for the Analytics Engineer, Marketing role.
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