Data Analytics Engineer- Finance

About the role

We are seeking an Analytics Engineer to join our internal Data Management team. As an Analytics Engineer, you will be part of the team transforming and delivering data for our Finance team use. You will be responsible for designing, implementing, and maintaining our data marts, pipelines, and data processes. This role requires a blend of strong technical skills, analytical thinking, and an understanding of business processes.

Responsibilities

• 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

Qualifications

• Experience with Databricks and Spark
• Experience with Azure Cloud
• Experience with Python or Kotlin
• Experience with Salesforce data
• Familiarity with ERP systems (NetSuite, SAP, or similar)

Skills

• Experience with Databricks and Spark
• Experience with Azure Cloud
• Experience with Python or Kotlin
• Experience with Salesforce data
• Familiarity with ERP systems (NetSuite, SAP, or similar)

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

Pay

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

Schedule

The position is based in the United States.