People Data Analyst

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

People Analytics at Veeam is entering its next phase. We're investing in a stronger data foundation, expanding our analytical capabilities, and building toward AI-enabled talent intelligence.

We are now looking for a People Data Analyst who can take business questions from concept to delivery: building analytics-ready data, developing meaningful analytical solutions, and partnering directly with stakeholders to turn insights into action.

Reporting to the Director, People Transformation and Analytics, you'll work across the employee lifecycle, including headcount, attrition and retention, internal mobility, performance, compensation, and engagement.

This role goes beyond traditional reporting. You'll have the opportunity to shape how people data is structured, analyzed, and delivered while helping drive Veeam's transformation toward proactive, AI-enabled analytics.

What You’ll Do

Build and maintain analytics-ready datasets using SQL, Python, and Databricks, transforming and modeling people data to support reliable, scalable analytics across the organization.

Partner with Data Engineering and data warehouse teams to integrate new data sources, including Workday and Greenhouse, defining data requirements and owning the curation of analytical datasets.

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.

Deliver operational people intelligence by tracking and analyzing key 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 to analysis, visualization, and stakeholder presentations, covering topics such as attrition root causes, promotion equity, workforce segmentation, and onboarding effectiveness.

Proactively identify workforce trends, emerging risks, and opportunities, translating complex findings into actionable recommendations that support business decisions.

Collaborate directly with People & Culture leaders and business stakeholders to understand their needs, clarify ambiguous requests, recommend analytical approaches, and ensure insights drive measurable value.

Leverage AI tools to improve analytical workflows, accelerate delivery, and contribute to the development of AI-enabled people analytics capabilities.

Ensure data quality, consistency, and governance by maintaining trusted metric definitions, performing accuracy checks, and protecting sensitive employee information through appropriate privacy and access controls.

What You’ll Bring

3–5 years of experience in data analytics, business intelligence, or analytics engineering, with demonstrated ownership of analytical projects and deliverables from start to finish.

Strong SQL proficiency and working knowledge of Python, including experience querying large datasets, transforming data, and developing scalable analytical solutions.

Hands-on experience with modern cloud data platforms such as Databricks or Snowflake, with Databricks strongly preferred.

Experience in analytics data modeling, including designing and building curated, analysi