Analytics Engineer – People

Analytics Engineer – People

Requirements

• 5+ years of experience in analytics engineering, data engineering, or data science, with proficiency in SQL and Python, and solid experience in data pipeline development and ETL/ELT processes
• Experience with data warehousing concepts, dimensional modeling, data architecture, and version control systems (Git)
• Skilled in data visualization tools like Looker or Hex, and comfortable with data modeling frameworks like dbt
• Experience with API development and integration
• Strong understanding of HR data, employee lifecycle processes, and key talent management metrics
• Experience working with large-scale HR data and integrating datasets from multiple systems (HRIS, ATS, surveys)
• Comfortable with advanced statistical techniques including regression analysis, predictive modeling, and survival analysis
• Ability to manage multiple projects and deliver insights in a fast-paced environment, with a can-do attitude and ability to work in rapid-response situations
• AI-first and AI-forward, eager to learn new concepts and explore bleeding-edge solutions in people analytics
• Team player who maintains collegiality and can effectively collaborate across different teams
• Hold a degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science) or related disciplines

Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes for people analytics data
• Build and maintain robust data models and dimensional schemas to enable efficient reporting and analysis
• Ensure data quality, consistency, and governance across all people analytics data
• Implement and maintain version control and software engineering best practices for analytics projects
• Develop and maintain APIs and integrations with various HR systems and data sources
• Develop and implement data models and algorithms to analyze workforce trends and provide actionable insights
• Conduct deep-dive analyses to uncover trends, patterns, and correlations within employee data
• Apply advanced statistical methods including survival models, regression analyses, and predictive modeling to solve people-related challenges
• Present findings to senior leaders with clear recommendations for improvements
• Manage urgent analytics requests with quick turnaround times
• Create and maintain interactive dashboards and visualizations that help communicate complex data insights to key stakeholders
• Translate complex data analyses into clear, compelling narratives for both technical and non-technical audiences
• Convert insights into actionable recommendations and drive implementation of solutions
• Collaborate with company leaders to identify, track, and iterate key performance indicators (KPIs) for talent management
• Partner with stakeholders to define and scope people analytics projects that align with organizational goals
• Work directly with executives to understand business challenges and translate them into technical solutions
• Advise on best practices for integrating and analyzing data from various HR systems (e.g., Workday, ATS, surveys) and external sources
• Take ownership of diverse responsibilities from research projects to operational process implementation, root cause analysis, and program management

Preferred Qualifications

• Familiarity with cloud-based data platforms (e.g., AWS, GCP, Databricks, Snowflake)
• Experience working with AI/ML models in a people analytics context to drive predictive insights
• Experience with employee listening and user research methodologies
• Understanding of data governance principles and regulatory compliance (e.g., GDPR, data privacy)
• Experience in managing cross-functional projects with both technical and non-technical stakeholders
• Track record of implementing automation and AI-powered solutions to streamline people analytics processes
• Experience with agile methodologies and working in sprint cycles