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 the modern world, Deel seamlessly integrates HRIS, payroll, compliance, benefits, performance, and equipment management. Leveraging AI-powered tools and a fully owned payroll infrastructure, Deel supports all worker types across 150+ countries, enabling businesses to scale smarter, faster, and more compliantly.

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

Deel is recognized as the fastest-growing Software as a Service (SaaS) company in history, revolutionizing global talent connectivity. In 2024, Deel processed $11.2 billion in payments to workers in nearly 100 currencies and provided healthcare and benefits in 109 countries. Deel's momentum is validated by achievements such as CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and consistent recognition on Y Combinator’s top companies list, alongside a 4.83 average rating from 15,000 reviews.

Joining Deel offers a career accelerator, tackling complex challenges in the global work revolution. With a $17.3 billion valuation and $1 billion in Annual Recurring Revenue (ARR), you will make a significant impact and gain expertise in transforming global work.

Responsibilities of an Analytics Engineer Marketing

• Design, develop, and maintain robust data models, often utilizing tools like dbt, ensuring alignment with overall data architecture and critical business requirements.
• Manage end-to-end data pipelines, from initial data extraction and transformation to final loading, guaranteeing timely and accurate data availability for comprehensive analysis.
• Apply advanced SQL queries and macros to efficiently transform data, with a strong focus on optimizing query performance.
• Implement thorough data quality checks and cleansing routines to ensure all datasets are consistently reliable and highly accurate.
• Collaborate closely with data analysts and fellow analytics engineers to uphold consistency and accuracy in key metrics and definitions across the entire team.
• Actively contribute to team processes, including occasionally leading meeting segments or proposing improvements to existing analytics workflows.

Qualifications

• Bachelor’s or Master’s degree in a relevant quantitative field such as Computer Science, Mathematics, or Physics.
• A minimum of 3 years of hands-on experience in a data analytics engineering or Business Intelligence (BI) development role.
• Demonstrated strong proficiency in SQL and practical experience with data modeling tools like dbt, alongside a solid understanding of data warehousing concepts.
• Direct experience with prominent business intelligence platforms, including building interactive dashboards in tools such as Looker, Tableau, or similar alternatives.
• Foundational programming skills in Python or a comparable language, specifically for data processing and automation tasks.
• Proven capability to efficiently manage multiple data projects simultaneously, troubleshoot complex data issues effectively, and consistently meet project deadlines.
• Excellent communication skills, enabling seamless collaboration with both technical and non-technical team members.

Total Rewards & Perks

Deel is committed to providing fair and competitive pay with scalable benefits, rewards, and perks that reflect inclusivity and access for all. Benefits include stock grant opportunities, additional perks based on employment status and country, and the flexibility of remote work, including optional WeWork access.

Key skills/competency

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