People Analytics Engineer

Who we are is what we do.

Deel and our family of growing companies are made up of global teams dedicated to helping businesses hire anyone, anywhere, easily. 

The team comprises over three thousand self-driven individuals spanning over 100 countries, and our unified yet diverse culture keeps us continually learning and innovating the platform and products for customers.

Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the platform’s success. We deliver the best products and features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.

Why should you be part of our success story?

A 30-mile hiring radius should no longer dictate how companies hire because exceptional talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M in 2023, doubling our valuation to $12B. There’s never been a more exciting time to join Deel — the international payroll and compliance market leader.

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.

Key Responsibilities

• 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.

• Other duties as assigned, as the scope and focus areas for People continues to expand.

Tech Stack & Tools

• Primary Technologies: dbt, Snowflake, Fivetran, GitHub, Python, SQL

• Source Systems (HR Data): Workday, Greenhouse, CultureAmp, Lattice, payroll and benefits systems, etc. 

Qualifications & Experience

• 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.

• This job description is not intended to be all-inclusive. The team member may perform other related duties as required to meet the ongoing needs of the organization.

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

• 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

DISCLOSURE 

We use Covey as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications.Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Covey complies with NYC Local Law 144.

We began using Covey Scout for Inbound on the 19th of February, 2025.

For more information about our data protection practices, please visit our Privacy Policy.

You can review the independent bias audit report covering our use of Covey here: https://getcovey.com/nyc-local-law-144.

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 accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodation, please inform our Talent Acquisition Team at recruiting@deel.com of the nature of the accommodation that you may require, to ensure your equal participation.