Data Analytics Engineer – Finance

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $92.3k - $153.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 $500M Private Equity Round on 2019-01

SaaS • Cybersecurity • Enterprise

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• Design, implement, and maintain scalable and reliable data marts and transformation processes • Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and requirements • Develop and optimize data models and schemas to ensure data is stored efficiently and can be retrieved and analyzed quickly • Implement ETL processes and frameworks to transform raw data from multiple sources into structured formats suitable for analysis • Work closely with our internal Data, Architecture, and DevOps teams to ensure the reliability and scalability of data systems • Monitor and troubleshoot data pipelines, and look for opportunities for continuous improvement • Implement data quality checks and testing frameworks to ensure accuracy and integrity of financial data.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, or equivalent work experience • Strong proficiency in SQL and experience with database and data warehouse systems • Experience building and deploying data processes in a cloud environment (Azure, AWS, GCP) • Experience in at least one programming language (e.g., Python, Java, Scala) • Understanding of best practices in designing ETL/ELT processes, data modeling, and data warehousing

🏖️ Benefits

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents • Medical, dental, and vision coverage starting on your first day • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program • 401(k) retirement plan with company matching contributions • 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 • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning