People Data Analyst

• Build and maintain analytics-ready datasets using SQL, Python, and Databricks
• Partner with Data Engineering and data warehouse teams to integrate data sources, including Workday and Greenhouse
• Define data requirements and own curation of analytical datasets
• Design, develop, and maintain Tableau and Databricks dashboards, AI-powered applications, conversational interfaces, and automated insight delivery through Microsoft Teams and email
• Track and analyze workforce metrics including headcount, hiring, attrition, retention, internal mobility, promotions, organizational structure, and representation trends
• Lead analytical projects end to end, from scoping and data preparation through analysis, visualization, and stakeholder presentations
• Analyze attrition root causes, promotion equity, workforce segmentation, and onboarding effectiveness
• Identify workforce trends, emerging risks, and opportunities and translate findings into actionable recommendations
• Collaborate with People & Culture leaders and business stakeholders to clarify needs and recommend analytical approaches
• Leverage AI tools to improve analytical workflows and develop AI-enabled people analytics capabilities
• Ensure data quality, consistency, and governance through trusted metric definitions and accuracy checks
• Protect sensitive employee information through appropriate privacy and access controls

• 3–5 years of experience in data analytics, business intelligence, or analytics engineering
• Strong SQL proficiency and working knowledge of Python
• Experience querying large datasets, transforming data, and developing scalable analytical solutions
• Hands-on experience with modern cloud data platforms such as Databricks or Snowflake; Databricks strongly preferred
• Experience in analytics data modeling and building curated, analysis-ready datasets and tables
• Experience building production-ready dashboards and BI solutions using Tableau, Databricks AI/BI Dashboards, Power BI, or comparable platforms
• Understanding of calculated fields, performance optimization, and governance
• Strong data visualization and storytelling skills
• Stakeholder management, consulting, and communication skills
• Critical thinking, problem-solving, and organizational skills
• Working knowledge of HR, recruiting, or workforce data and key people metrics
• Understanding of data privacy and confidentiality
• Demonstrated adoption of AI tools in analytical workflows, including evaluating effectiveness and validating outputs
• Fluency in English, written and verbal
• Experience with HR and recruiting platforms such as Workday, Greenhouse, Qualtrics, or comparable systems is a strong plus
• Experience developing AI-powered or data-driven applications, conversational analytics interfaces, Databricks Apps, or automated insight delivery solutions is highly desirable
• Knowledge of statistical analysis or predictive modeling is a plus
• Exposure to workforce planning, HR analytics, organizational effectiveness, data governance, or security models for sensitive information is an advantage

• Fully employer-paid medical, dental, and vision insurance for employees and eligible dependents, including virtual care services
• Employee Assistance Program (EAP) with confidential therapy sessions
• Legal and financial counseling services
• Company-provided life and disability insurance
• Vacation time and statutory holidays
• Additional company-wide VeeaMe Days dedicated to rest, wellbeing, and self-care
• Competitive maternity, paternity, adoption, and other leave benefits
• Paid volunteer time each year through the Veeam Cares program