Data Analytics Engineer

Role Overview

The Data Analytics Engineer contributes to the technical design, development, and enhancement of Corporate Metrics data products at Veeam, including Annual Recurring Revenue (ARR). The role implements the technical roadmap set by the Director for these data assets to drive data-driven decision making across the organization.

What You Will Do

Maintain Corporate Metrics Data Assets, create and maintain data pipelines, models, and storage solutions behind the Corporate Metrics data mart, including ARR, ensuring completeness, accuracy, and security.

Why It Might Be a Fit

The ideal candidate brings strong data architecture and dimensional modeling expertise, clear communication, strategic thinking, and the ability to translate business needs into scalable, reliable, and well-governed data assets.

Requirements

• Bachelor’s or master’s degree in Business Analytics, Computer Science, Engineering or a related quantitative field.
• 3+ years of experience in data analytics or analytics engineering, with significant experience on corporate reporting data projects.
• Strong SQL skills (DDL and DML)
• Hands-on experience designing and building dimensional data models (Kimball methodology, star schemas, fact and dimension tables, slowly changing dimensions).
• Proficiency with modern data engineering tools and platforms (e.g., Python, SQL, Databricks).
• Experience building semantic layers or metric stores (e.g., Databricks Metric Views/Genie, dbt Semantic Layer) and exposing data to AI or natural-language tools.
• Familiarity with DevOps processes and tools like Github or Azure DevOps
• Understanding of ARR and other SaaS and corporate metrics.
• Strong analytical skills and experience with AI-driven solutions.
• Excellent communication and stakeholder management abilities.
• Experience with external reporting needs for a public company.

Benefits

• Unlimited paid time off, plus 3 global VeeaMe Days for self-care
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage from day one
• Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
• 401(k) retirement plan with matching contributions up to annual limits
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• AirVet: 24/7 virtual veterinary care at no cost
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program

Tagged as: Data Analysis, Python, SQL