People Data Analyst

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.

Overview:

As a Data Analyst on our People Technology team, you'll spend the majority of your time analyzing data across our core HR systems (Deel HR, Ashby, LMS systems, and survey platforms) and the remainder on operational tasks including dashboard creation and maintenance as well as stakeholder management. You'll be responsible for transforming data from these platforms into actionable insights that drive decisions around talent acquisition, retention, engagement, compensation, and workforce planning. Working closely with our HR Business Partners, People Operations teams, Talent Teams, and internal Business Leaders you'll maintain our standard reporting suite while developing new analyses to address emerging business needs. This role requires both technical expertise to handle multiple data sources and the business acumen to translate findings into practical recommendations for leadership

What You'll Do

• Collaborate with data engineers and analytics teams to develop and maintain people analytics tools and infrastructure, ensuring alignment with business objectives

• Partner with senior People stakeholders to understand their data needs and deliver actionable insights that drive strategic decision-making

• Design and implement comprehensive people analytics dashboards in Looker, balancing both high-visibility curated reports and flexible self-service frameworks

• Maintain and enhance data quality across HR systems by implementing validation processes and establishing data governance standards

• Define and standardize key People metrics (attrition, engagement, candidate pipeline) while ensuring consistency across reporting platforms

• Develop and maintain dbt model infrastructure in partnership with analytics engineering, optimizing data workflows and improving efficiency

• Support data science initiatives by contributing to forecasting models and advanced analytics projects

• Drive data enrichment initiatives across HR tools, enabling HRBPs and stakeholders to access relevant insights within their workflow

• Conduct regular analysis of workforce trends, including employee engagement, performance metrics, and recruitment funnel metrics

• Lead workforce planning efforts by analyzing historical data and creating predictive models for future staffing needs

• Design and implement data collection methodologies to capture relevant HR metrics across various sources

• Build and maintain documentation for reporting processes, metrics definitions, and data models

What You'll Need

• Minimum of three years prior experience in data analytics, statistics, or data engineering 

• Strong preference for prior experience in human resources data and analysis

What You Bring

• Strong proficiency with data analysis tools (e.g., Excel, Sheets, Python, SQL)

• Strong proficiency with data reporting tools (e.g. Looker, Power BI, Tableau)

• Excellent analytical and problem-solving skills with a strong bias to curiosity driving the delivery of analysis

• Experience in tracking and repo