People Data Analyst

Role Overview

As a People Data Analyst at Veeam, you will work across the employee lifecycle, including headcount, attrition and retention, internal mobility, performance, compensation, and engagement. You will build and maintain analytics-ready datasets, develop analytical solutions, and partner directly with stakeholders to turn insights into action.

What You Will Do

You will build and maintain analytics-ready datasets using SQL, Python, and Databricks, transform and model people data to support reliable, scalable analytics across the organization. You will also design, develop, and maintain analytical solutions, including Tableau and Databricks dashboards, AI-powered applications, conversational interfaces, and automated insight delivery through platforms such as Microsoft Teams and email.

Why It Might Be a Fit

You will have the opportunity to shape how people data is structured, analyzed, and delivered while helping drive Veeam’s transformation toward proactive, AI-enabled analytics. You will also have the opportunity to work on a variety of projects, including attrition root causes, promotion equity, workforce segmentation, and onboarding effectiveness.

Requirements

• 3–5 years of experience in data analytics, business intelligence, or analytics engineering
• Strong SQL proficiency and working knowledge of Python
• Hands-on experience with modern cloud data platforms such as Databricks or Snowflake
• Experience in analytics data modeling, including designing and building curated, analysis-ready datasets and tables for reporting and downstream analytical applications
• Proven ability to build production-ready dashboards and BI solutions from the ground up using Tableau, Databricks AI/BI Dashboards, Power BI, or comparable platforms
• Strong data visualization and storytelling skills, with the ability to communicate complex analytical findings clearly and tailor insights to different audiences
• Excellent stakeholder management, consulting, and communication skills, including the ability to translate ambiguous business questions into practical analytical solutions and provide recommendations
• Strong critical thinking, problem-solving, and organizational skills, with the ability to work independently, challenge assumptions, and proactively identify opportunities for improvement

Benefits

• Comprehensive Health Coverage
• Wellbeing & Mental Health Support
• Financial Protection Benefits
• Paid Time Off & Global Recharge Days
• Family-Friendly Leave Programs
• Give Back to Your Community

Tagged as: Data Analysis