People Analytics Analyst - Data Integrity

Deel
EMEAPosted 3 April 2026

Job Description

People Analytics Analyst - Data Integrity Who we are is what we do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly. Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are. Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50,  Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work. Summary The People Analytics Analyst supports Deel's HR and business functions by ensuring the integrity of our workforce data, building the analytical infrastructure our team depends on, and delivering actionable insights that drive strategic people decisions. This role is the connective tissue between our data engineering layer and the HR stakeholders who use our analytics to make decisions: someone who cares as much about whether the data is right as whether the dashboard looks good. Responsibilities Data Quality & Governance - Own and evolve Deel's people data quality framework, including automated validation rules across our HRIS data, flagging and resolving data violations, and maintaining a clear record of data health over time. - Define, document, and standardize key people metrics (headcount, attrition, engagement, hiring volume) to ensure consistent definitions across all reporting platforms and tools. - Build and maintain a metric dictionary so every analyst and stakeholder works from the same source of truth. - Partner with data engineers to implement data quality tests and data validation that enforce data quality at the pipeline level, not just at the dashboard. - Proactively identify and resolve data discrepancies across HR systems (HRIS, ATS, payroll). Analytics & Reporting - Design and maintain people analytics dashboards in Looker and Hex, building both curated reports and self-service frameworks that reduce inbound data requests. - Analyze workforce trends (attrition, engagement, hiring funnel, org health, compensation) and translate findings into clear, decision-ready narratives for HRBPs and leadership. - Partner with external departments to understand data needs and deliver insights that directly inform people strategy. - Build and maintain documentation ... (truncated, view full listing at source)
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