Data Analytics Engineer- Finance

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.

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#### 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.

*For team alignment, we are prioritizing applicants on the East Coast.*

#### What You'll Do

• 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.

#### What You'll Bring

• 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

#### Bonus 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)

Please note: The position is based in the United States. If the applicant is permanently located outside of the United States, Veeam reserves the right to decline the application.

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.

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.

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