Business Intelligence 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.

The Business Intelligence Analyst leads complex analytics initiatives and partners closely with stakeholders to align analytics with business objectives. You'll foster key working relationships with business stakeholders across Sales, Operations, and Product, partner with our Data Engineering and Data Platform teams, and join a team of talented Analytics and Reporting peers. Success in this role is defined by your ability to deliver dashboards and analyses that are accurate, trusted, and adopted by stakeholders, and metrics that are consistently defined and aligned to enterprise standards.

• Lead complex, cross-functional analytics initiatives
• Solve ambiguous analytical problems independently
• Partner with stakeholders to align analytics to business strategy
• Mentor Junior and Associate Analysts

What You’ll Bring

• 5–7+ years of experience in business intelligence, analytics, or related disciplines, including ownership of complex stakeholder-facing analytics. Equivalent experience and demonstrated capability may be considered in place of years of experience
• Bachelor’s degree in a relevant field or equivalent practical experience
• SQL: Advanced query design, validation logic, and performance tuning
• Tableau: Advanced dashboard design and optimization
• Tableau Prep: Complex, reusable data flows
• Databricks: Confident querying and collaboration with Data Engineering
• Python: Data analysis and validation scripts
• Statistics: Regression concepts and analytical rigor
• Data Modeling Awareness: Strong understanding of grain and joins

$167,400—$310,900 USD

$153,500—$285,000 USD

$139,500—$259,000 USD

$121,400—$225,300 USD