Junior Data Analyst

About Veeam

Veeam helps organizations make their data and AI environments easier to understand, more secure, and more resilient. The company focuses on the overlap of identity, data, security, and AI risk, supporting safe AI adoption at scale. With headquarters in Seattle and offices across more than 30 countries, Veeam protects over 550,000 customers worldwide and works with some of the world’s biggest brands.

Role overview

This early-career position is suited to a technically capable junior analyst who can support marketing analytics by turning data into practical insights. The role calls for strong fundamentals in analysis along with hands-on experience in SQL, Python, Claude Code, and modern data platforms such as Databricks.

You will work with large marketing datasets, build reporting solutions, automate workflows, add AI-enabled layers to processes, and collaborate with marketing stakeholders to produce insights that guide decisions.

What you will do

• Review marketing performance data to spot patterns, improvement opportunities, and the main drivers of results.
• Assess customer acquisition, engagement, and conversion metrics to inform marketing planning.
• Build an intelligent lead ingestion process that automates importing leads through AI-based parsing, validation, and enrichment, while also creating scalable automation pipelines and a simple interface for monitoring and controlling incoming data.
• Convert complex datasets into clear findings and practical recommendations for business users.
• Handle ad-hoc analysis and look for additional insight opportunities proactively.
• Use SQL to pull, transform, and analyze marketing and enterprise data efficiently.
• Use Python for data preparation, automation, and exploratory analysis.
• Help create and maintain curated datasets, data models, and quality checks.
• Use Claude Code to design interfaces, agents, and automation steps.
• Build and update dashboards and performance reports with BI tools.
• Automate recurring reporting tasks to improve efficiency and scalability.
• Work with marketing, analytics, data science, and data engineering teams to meet reporting and data needs.
• Document definitions, business logic, and reporting methods clearly.

What you need

• Solid practical knowledge of SQL, including joins, aggregations, and transformations.
• Basic to intermediate Python skills, including use of libraries such as pandas and NumPy, gained through study, projects, or internships.
• Some exposure to Databricks, Apache Spark, or cloud-based data environments.
• Experience working with real datasets, including validation and troubleshooting.
• Strong curiosity and a willingness to keep learning.
• Good analytical thinking, problem-solving ability, and attention to detail.
• Ability to explain technical findings to people without a technical background.
• Comfort managing several priorities at once using Jira or similar tools, and the ability to work independently.
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or another quantitative field.
• Internship, academic project, or research experience in data analysis is preferred.
• Familiarity with Tableau, Power BI, or similar visualization tools is a plus.
• Exposure to marketing analytics concepts or campaign performance metrics is a plus.
• Experience with marketing platforms such as Google Analytics or Salesforce is a plus.
• Knowledge of version control tools such as Git is a plus.
• Understanding of ETL or data pipeline concepts is a plus.

What you will gain

• Practical experience working with large-scale marketing and customer datasets.
• Mentoring and development in SQL, Python, Databricks, and modern analytics tools.
• Opportunities to shape marketing strategy through data-driven insights.
• Exposure to cloud analytics and data engineering practices.
• A strong foundation for a career in data analytics and marketing analytics.
• Access to AI-assisted development tools, including Claude Code, to speed up analysis and prototype work.

Benefits

• 25 paid vacation days, plus 4 additional global VeeaMe Days for self-care and 24 paid volunteer hours each year through Veeam Cares.
• Private medical, dental, and vision cover, including the option to enroll dependents.
• Life insurance with enhanced protection and worldwide 24/7 coverage.
• Income protection after 26 weeks that covers part of your salary.
• Defined contribution pension plan with employer matching.
• Worldwide travel insurance for business and leisure, with the option to add dependents.
• Employee Assistance Program offering therapy, legal and financial support, online GP access, and wellbeing resources.
• Learning and growth support through on-demand libraries, mentoring, workshops, and events such as the annual Global Day of Learning.

Additional information

Veeam is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status, or any other legally protected characteristic. All information shared during recruitment will be kept confidential.

Personal data collected during hiring will be handled in line with the company’s recruiting privacy notice, which explains how information is collected, used, and managed during recruitment. By applying, you agree to this processing.

By submitting an application, you confirm that all information and supporting documents are complete and accurate to the best of your knowledge. Any false statement, omission, or misrepresentation may lead to disqualification, or termination if discovered after employment begins.