Data Analyst (HR Data Transformation)

Domain: Construction / PropTech

Location: Remote worldwide (Must have at least 4 hours overlap with America/New_York / EST)

Duration: 3–6 months contract

Tech Stack: Snowflake, dbt, AWS, Workday

📋 About the Project

Our client is a prominent entity in the home construction industry, currently driving a large-scale HR data transformation. We are building a centralized Data Lake for all HR data and developing AI agents to automate core HR and business functions.

We are looking for a Data Analyst to provide critical data engineering and modeling support, accelerating the Data Lake build and Workday API integrations.

✅ Required Experience

• Data Modeling: Strong proficiency in both logical and physical data modeling, designing for scalability across multiple use cases.
• Modern Data Stack: Hands-on experience with Snowflake and dbt for data transformation and model management.
• Cloud Infrastructure: Familiarity with AWS data services.
• Domain Knowledge: Experience working with Workday data structures and HR data domains is highly preferred.
• Semantic Layer: Understanding of semantic layer design to expose clean, governed data to analytics consumers.

• Data Governance: Strong grasp of security, compliance, and governance in sensitive data environments.

🚀 Tasks & Deliverables

• Analyze and interpret large volumes of HR data to surface trends and opportunities.
• Design and implement flexible data models to support various HR and business reporting use cases.
• Develop and maintain semantic layer definitions for consistent HR metrics.
• Collaborate with Data Engineers on Workday API integrations to ensure analytics-ready data.
• Partner with the AI team to align data workflows with the needs of automated HR agents.
• Translate HR stakeholders' business requirements into technical data models.
• Produce and maintain detailed documentation (data dictionaries, model lineage).

💎 Engagement Highlights

• High Impact: Contribute to a massive enterprise-level HR data transformation.
• Innovation: Work closely with AI-driven business solutions and a modern tech stack.
• Autonomy: Enjoy flexible problem-solving and technical decision-making within a dynamic team.
• Remote First: 100% remote collaboration.