People Analytics Analyst - Data Integrity
D
DeelSaaS
EMEAFull-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 2-4 years
- Required Skills
- SQLSnowflakeWorkdayLooker
Requirements
- 2-4 years of experience in data analysis
- Experience in an HR or people analytics context
- Strong SQL proficiency against a cloud data warehouse
- Snowflake strongly preferred
- Experience with BI tools for dashboard development (Looker, Hex, or equivalent)
- Demonstrated experience owning data quality
- Strong communication skills, including explaining data findings to non-technical HR stakeholders
- Experience with HRIS data (Workday, BambooHR, Deel, or similar)
- Familiarity with core HR metrics: headcount, attrition, time-to-hire, engagement scores
- Comfort working with AI tools (Claude/Gemini/ChatGPT) and LLM APIs for analytics automation
Responsibilities
- Own and evolve Deel's people data quality framework, including automated validation rules across 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.
- Proactively identify and resolve data discrepancies across HR systems (HRIS, ATS, payroll).
- 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 for all reporting processes, metric definitions, and data models.
- Identify repetitive analytical workflows and build automated pipelines that eliminate manual effort, such as scheduled reports, automated alerts, and triggered data refreshes.
- Contribute to AI-powered analytics initiatives including automated data quality monitoring and workflow automation.
View Full Description & ApplyYou'll be redirected to the employer's site
