System Analyst, Data Engineering

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world's biggest brands. The future of data resilience is here - go fearlessly forward with us.

Veeam is seeking a System Analyst to join our internal and international data team. You'll be part of the team building out the next generation of data infrastructure and systems to power Veeam's Machine Learning and Data Science capabilities. You will gather and translate requirements, document complex data flows, and help drive operational excellence for our data management systems and processes.

Your Tasks Will Include
Requirements & Solution Analysis

• Conduct workshops with business stakeholders to capture functional and non-functional needs for engineering and analytics teams
• Research data sources and systems as needed to provide technical requirements
• Translate requirements (e.g., product telemetry insights, renewal forecasting) into detailed technical requirements for ongoing projects

Architecture & Documentation

• Maintain up-to-date system architecture diagrams, data-lineage maps, and data-dictionary entries
• Champion documentation standards and ensure documentation is available and up to date for existing systems

Operations & Continuous Improvement

• Track opportunities to improve documentation and test coverage for the respective engineering teams

Project & Stakeholder Management

• Develop project plans, manage dependencies, and communicate status, risks, and mitigations to leadership
• Promote task management and delivery best practices

What We Expect From You

• 3+ years as a System Analyst, Business Analyst, or Technical Product Owner in data-centric environments
• Strong grasp of data engineering and analytics systems
• Excellent written documentation skills and the ability to create clear diagrams (UML, BPMN, Data-flow)
• Knowledge of SQL or Python for data exploration and system research
• Solid understanding of SDLC, Agile methodologies, and DevOps pipelines
• Excellent communication and stakeholder-management abilities
• Ability to travel occasionally (once per quarter) with the E.U. or to the U.S. for team meetings or conferences

Will Be An Advantage

• System knowledge of Azure, Databricks, Tableau, or Salesforce
• Experience in enterprise software or SaaS—especially data protection, cloud, or cybersecurity domains
• Exposure to data-governance tooling (Atlan, Collibra) and metadata management
• Understanding of GDPR, SOX, and similar legal framework requirements

We Offer

• Private medical insurance for you, one adult dependent, and your children
• Meal tickets
• Private pension plan
• Life insurance
• Vision reimbursement
• Annual leave and additional vacation days based on tenure
• Cafeteria Benefit Plan where you will be able to flexibly customize your benefits package based on your budget and personal needs
• Veeam Care Days – additional 24 hours for your volunteering activities
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O'Reilly) and mentoring through our MentorLab program

Veeam Software is an equal opportunity employer
and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

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By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.