We are looking for a Data Analyst with strong data modeling and analytics engineering skills to support the design, structuring, and interpretation of HR data within a modern cloud-based data platform. This is a short-term engagement (3–6 months) focused on transforming raw HR data into scalable, well-governed, and analytics-ready datasets that support reporting, AI-driven HR agents, and business decision-making.
The role requires at least 4 hours daily overlap with the America/New_York time zone to ensure effective collaboration with stakeholders and engineering teams.
You will work closely with data engineers, AI developers, and HR stakeholders to ensure data consistency, quality, and usability across multiple downstream applications.
Requirements
Strong experience in data modeling (logical and physical) with focus on scalability and multiple downstream use cases
Hands-on experience with Snowflake and dbt for data transformation and modeling
Familiarity with AWS data services in a cloud-based data environment
Experience working with Workday data structures or similar HRIS systems
Understanding of semantic layer design and governed data access principles
Ability to translate complex business requirements into clear, structured data models
Strong knowledge of data governance, security, and compliance, especially in sensitive HR data environments
Excellent analytical thinking and problem-solving skills Responsibilities
Analyze and interpret large volumes of HR data ingested into the Data Lake to identify trends, gaps, and actionable insights for business and AI use cases
Design and implement scalable logical and physical data models to support multiple HR and analytics reporting needs
Develop and maintain a semantic layer to ensure consistent, governed access to HR metrics across teams and tools
Collaborate with data engineers to ensure high-quality Workday API data integration and model-ready data structures
Partner with AI development teams to align data models with requirements for automated HR agents and workflows
Define and enforce data validation rules, quality checks, and compliance standards across the data modeling pipeline
Translate HR and business stakeholder requirements into structured data models and analytics frameworks
Create and maintain documentation, including data dictionaries, lineage, and model definitions What we offer
Direct cooperation with the already successful, long-term, and growing project.
Flexible work arrangements.
Collaborative and supportive team culture.
Truly competitive salary.
Help and support from our caring HR team.
