Junior Data Analyst

Overview

In this role you will transform marketing data into actionable insights to improve campaign performance and enable AI-driven decision-making. You’ll work with large datasets, build scalable reporting and automation, and partner with marketing to shape strategy. You’ll contribute to an intelligent lead ingestion framework and leverage AI-assisted tooling to accelerate analysis. This is an early-career opportunity in a data-driven, cross-functional environment at Veeam, a leader in data resilience and security.

Pay / Benefits

• 25 paid vacation days
• private medical, dental, and vision insurance
• life insurance with enhanced coverage
• defined contribution pension plan with employer match
• worldwide travel insurance
• Learning and development resources (LinkedIn Learning, O’Reilly)

Responsibilities

• Analyze marketing performance data to identify trends and optimization opportunities
• Evaluate acquisition, engagement, and conversion metrics to inform marketing strategy
• Design and implement an intelligent lead ingestion framework with AI-driven parsing, validation, and enrichment
• Build scalable automation pipelines and user-friendly interfaces for monitoring incoming lead data
• Translate complex data into clear insights and recommendations for stakeholders
• Support ad-hoc analysis and proactively identify deeper insights
• Write efficient SQL queries to extract, transform, and analyze data
• Use Python for data cleaning, automation, and exploratory analysis
• Assist with building and maintaining curated datasets, data models, and data quality checks
• Use Claude Code to design interfaces, agents & automation steps
• Develop and maintain dashboards and marketing performance reports using BI tools
• Automate recurring reporting processes and collaborate with marketing, analytics, data science and data engineering teams
• Document data definitions, logic, and reporting methodologies

Key requirements

• Strong SQL skills with joins, aggregations, and data transformations
• Basic to intermediate Python with pandas/NumPy experience
• Exposure to Databricks, Apache Spark, or cloud-based data environments
• Experience with real-world datasets and data validation/troubleshooting
• Strong curiosity, analytical/problem-solving abilities, and attention to detail
• Ability to communicate technical findings to non-technical audiences
• Ability to manage multiple priorities using Jira or similar tools and work independently
• Bachelor’s degree in a related quantitative field
• Internship, academic project, or research involving data analysis preferred

• Curiosity and willingness to learn
• Analytical mindset
• Communication skills for non-technical audiences
• SQL (joins, aggregations, transformations)
• Python (pandas, NumPy)
• Databricks / Apache Spark

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