People Analytics Engineer

March 20

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Deel

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Deel is a comprehensive global people platform designed to help companies expand their operations internationally with ease and in full compliance. The platform offers a suite of solutions that simplify hiring, onboarding, payroll, and compliance management for global workforces. Deel enables businesses to hire worldwide without needing to open local entities, manage global payrolls, and ensure compliance with local laws, all from a unified platform. With support for over 150 countries, Deel also provides immigration assistance, IT operations management, and extensive integration capabilities to streamline HR processes and enhance workforce management across diverse geographic locations.

Payment Services • independent contractors • remote hiring • remote work • financial service

1001 - 5000 employees

Founded 2018

☁️ SaaS

📋 Compliance

👥 HR Tech

💰 $50M Venture Round on 2022-05

📋 Description

• The People Analytics Engineer will design, build, and maintain scalable data infrastructure, enabling HR and People Analytics teams to access, analyze, and act on workforce data efficiently. • This role requires deep expertise in data modeling, pipeline development, and engineering best practices, ensuring high-quality, reliable people data for decision-making across the organization. • You will work closely with internal HR Business Partners, other Analytics Engineers, Data Scientists, and with our Deel HR Product team. • Develop and optimize workforce data models to support analytical, reporting, and predictive use cases within HR. • Design, build, and maintain robust ETL/ELT pipelines to ingest and transform people data from multiple sources (HRIS, ATS, L&D platforms, etc.). • Optimize SQL queries and analytical workflows to ensure performance, scalability, and maintainability in HR reporting and dashboards. • Implement and enforce data governance frameworks, ensuring compliance with global workforce data privacy regulations. • Proactively identify and resolve data quality issues, implementing automated validation checks and anomaly detection solutions. • Support HR analysts and business users by enabling self-service analytics through well-structured data models and documentation. • Contribute to the evolution of our People Analytics infrastructure, leveraging best practices in modern data engineering (e.g., dbt, Snowflake, Airflow, Fivetran). • Work with our Product Team to influence the roadmap of the Analytics product for Deel HR customers. • Collaborate with the People Analytics and HR Tech teams to enhance our HR data platform, ensuring alignment with business needs and scalability for future growth. • Work closely with HR and business leaders to translate workforce challenges into scalable data solutions, influencing the roadmap for analytics-driven HR decision-making.

🎯 Requirements

• 5+ years of experience in analytics engineering, data engineering, or similar roles with a focus on people analytics or HR data. • High-level SQL skills with experience in designing analytical data models optimized for HR reporting and insights. • Strong Python proficiency, particularly for data transformation, automation, and ETL/ELT workflows. • Hands-on experience with modern data engineering tools (dbt, Snowflake, Airflow, Fivetran, GitHub). • Proven ability to work with complex HR data structures, ensuring accuracy, compliance, and usability. • Familiarity with HR systems and workforce analytics tools (e.g., Workday, Greenhouse, CultureAmp) is a plus. • Excellent organizational skills and ability to manage and execute tasks in a high-pressure environment. • Strong project management skills, with the ability to manage multiple projects simultaneously successfully. • Ability to think strategically and creatively, with a strong focus on delivering results. • Excellent stakeholder management with a focus on continuous improvement and regular communication leveraging data and insights. • Strong passion for learning about our products and services through in-house and external training. • Experience in high-growth/pre-IPO Technology companies is highly preferred. • Proficiency with Google Office suite preferred.

🏖️ Benefits

• Provided computer equipment tailored to your role • 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 WeWork access where available