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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.

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What You Should Know About People Analytics Engineer , Deel

Join Deel as a People Analytics Engineer and become part of a dynamic team dedicated to revolutionizing the way businesses hire across the globe. At Deel, we believe that exceptional talent knows no borders, and we're on a mission to connect companies with the best people, regardless of where they are located. As a People Analytics Engineer, you'll be at the forefront of designing, building, and maintaining scalable data infrastructures that empower HR and People Analytics teams to use workforce data effectively. Your role will involve developing insightful data models, optimizing ETL pipelines, and ensuring that our analytics systems are robust and compliant with global data privacy regulations. You will collaborate closely with HR Business Partners, Data Scientists, and our dedicated HR Product team to enhance our analytics offerings, making a significant impact on how decisions are made across the organization. With your strong technical skills in SQL and Python, along with your experience in modern data tools like dbt and Snowflake, you'll help drive innovations that enhance our workforce’s efficiency. Deel is proud to be a leader in international payroll and compliance, and this is a fantastic opportunity to join a fast-growing company that values inclusivity and the power of a diverse workforce. If you're ready to help us shape a world without hiring borders while ensuring we have high-quality, reliable workforce data, then we want to hear from you!

Frequently Asked Questions (FAQs) for People Analytics Engineer Role at Deel
What are the main responsibilities of a People Analytics Engineer at Deel?

As a People Analytics Engineer at Deel, your primary responsibilities include designing and optimizing workforce data models to support various HR analytical needs, building and maintaining ETL/ELT pipelines to manage and transform people data, and ensuring compliance with data privacy regulations. You'll also work on enhancing our HR data platform and collaborate with various teams to leverage insights effectively.

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What qualifications are required for the People Analytics Engineer position at Deel?

To qualify for the People Analytics Engineer role at Deel, candidates should have over 5 years of experience in analytics engineering or data engineering focused on HR data. Proficiency in SQL and Python is essential, along with hands-on experience with modern data engineering tools like dbt and Snowflake. Familiarity with HR systems such as Workday and strong project management skills are also important.

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How does the People Analytics Engineer role at Deel contribute to decision-making?

The People Analytics Engineer at Deel plays a vital role in enhancing data accessibility and usability for HR analysts and business users, thereby facilitating informed decision-making. By developing reliable data models and optimizing reporting workflows, you'll help HR teams draw actionable insights that align with business strategies and goals.

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What tech stack does a People Analytics Engineer at Deel work with?

In the People Analytics Engineer position at Deel, you will work primarily with tools such as dbt, Snowflake, and Fivetran, as well as programming languages like Python and SQL. This tech stack allows for efficient data transformation, analysis, and reporting, contributing to robust insights for HR analytics.

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What is the company culture like at Deel for a People Analytics Engineer?

At Deel, the culture encourages innovation and diversity, fostering an environment where self-driven individuals can thrive. As a People Analytics Engineer, you'll be part of a global team that values inclusivity and continuous learning, helping to connect talent with opportunities while embracing different perspectives and experiences.

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Common Interview Questions for People Analytics Engineer
Can you explain your experience with building ETL pipelines in a previous role?

In my previous role, I was responsible for designing ETL pipelines using tools such as Fivetran and dbt. I focused on automating data extraction from multiple sources and transforming it for optimal reporting. This experience taught me about the importance of data integrity and how to handle various data structures effectively.

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What strategies do you use to ensure data quality in analytics?

To ensure data quality, I implement validation checks and anomaly detection systems as part of the ETL process. I also collaborate closely with data stakeholders to understand their needs, which helps in proactively addressing data-related issues and maintaining reliable data models.

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Describe a project where you optimized SQL queries for data access.

In a past project, I optimized SQL queries by indexing frequently accessed columns and rewriting suboptimal joins. This not only improved the query performance significantly but also reduced the overall load time for our reporting dashboards, which enhanced user experience.

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How do you approach collaborating with HR Business Partners on analytics projects?

I prioritize clear communication and active listening when collaborating with HR Business Partners. Understanding their challenges allows me to develop tailored analytical solutions. Regular check-ins and feedback loops ensure we are aligned and that the analytics delivered meet their needs effectively.

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What tools have you used for data visualization and reporting?

I have utilized tools such as Tableau and Looker for data visualization, alongside SQL for data querying. My focus has been on creating interactive dashboards that simplify insights for HR teams, ensuring the information is both accessible and actionable.

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Can you give an example of a time you influenced decision-making through analytics?

In one project, I developed a comprehensive dashboard that highlighted employee retention metrics, which sparked discussions among leaders. The insights led to strategic initiatives in employee engagement programs, demonstrating how meaningful analytics can drive organizational change.

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What do you consider when designing data models for HR analytics?

When designing data models, I consider factors such as end-user needs, data source compatibility, and compliance with data privacy regulations. It’s essential to create models that are both user-friendly and robust enough to accommodate future requirements as the business evolves.

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How do you stay updated with trends in data engineering and analytics?

I stay updated by participating in online forums, attending webinars, and following industry thought leaders. I also invest time in online courses that cover emerging tools and technologies, ensuring that I can apply the latest best practices to my analytics work.

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How would you handle a situation where a data pipeline fails?

In the event of a data pipeline failure, my immediate focus would be on diagnosing the issue through logs and error messages. Collaborating with relevant teams allows us to quickly identify the root cause and implement a fix while ensuring minimal disruption to analytics deliveries.

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What are the key performance indicators you track for an HR data model?

Key performance indicators for an HR data model include data accuracy rates, query performance, and user engagement with dashboards. Tracking these metrics helps assess the effectiveness of the model and identify areas for improvement, ensuring that the analytics serve their intended purpose.

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Deel is an American payroll and compliance provider founded in 2019 by Alex Bouaziz, Shuo Wang, and Ofer Simon. The company is based in San Francisco, California and has reported having 2,000 employees in January 2023.

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CULTURE VALUES
Inclusive & Diverse
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DATE POSTED
March 15, 2025

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