Principal/Senior Analytics Engineer

Job DescriptionJoin our innovative team as an Analytics Engineer and help shape the future of our integrated HR data platform. You’ll play a key role in building robust data transformation pipelines and curated data models that drive self-service analytics and AI initiatives across the organization. As a core member of our data team, you’ll collaborate with product managers, data engineers, and business stakeholders to design and implement a scalable, trusted analytics foundation—particularly in the HR domain.This is a great opportunity for engineers who are passionate about dbt, care deeply about data quality and usability, and are excited about contributing to a mission-driven HR-tech product.Responsibilities Data Modeling & dbt Development: Design and implement high-quality, scalable, and well-documented data models using dbt, aligning with business goals and analytics use cases. Pipeline Ownership: Build and maintain reliable ELT pipelines in close collaboration with data engineers, ensuring smooth, automated, and testable data flows. HR Data Understanding: Deeply understand HR-related data such as employee records, payroll, attendance, etc., and convert business requirements into actionable datasets. Data Quality Assurance: Implement and maintain automated data testing, monitoring, and validation to ensure consistent and trusted data delivery. Cross-functional Collaboration: Partner with product managers and business analysts to translate requirements into well-modeled datasets. Collaborate with engineers to ensure smooth integration between data systems and product features. Documentation & Enablement: Produce clear documentation to support internal engineers and business users in using the data models confidently. Scalability & Maintenance: Continuously optimize model performance and transformation logic for large-scale HR datasets.