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.

About the Role

We are seeking a technically strong Junior Data Analyst to support Marketing Analytics by transforming data into insights that improve campaign performance and enable data & AI driven decision-making. This is an early-career role ideal for candidates with strong analytical fundamentals and hands-on experience with SQL, Python, Claude Code, and modern data platforms such as Databricks.

You will work with large marketing datasets, develop reporting solutions, automate data workflows, implement AI agentic layers and partner with marketing business partners to deliver actionable insights.

What You’ll Do

Data Analysis & Insights

Analyze marketing performance data to identify trends, optimization opportunities, and key performance drivers.
Evaluate customer acquisition, engagement, and conversion metrics to support marketing strategy.
Design and implement an intelligent lead ingestion framework by automating the lead import process using AI-driven data parsing, validation, and enrichment techniques. This includes building scalable process automation pipelines and developing a user-friendly interface that enables seamless monitoring, control, and interaction with incoming lead data.
Translate complex data into clear insights and recommendations for stakeholders.
Support ad-hoc analysis and proactively identify opportunities for deeper insights.

Technical & Data Development

Write efficient SQL queries to extract, transform, and analyze marketing and enterprise 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

Reporting & Collaboration

Develop and maintain dashboards and marketing performance reports using BI tools.
Automate recurring reporting processes to improve efficiency and scalability.
Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs.
Document data definitions, logic, and reporting methodologies.

What You’ll Bring

Strong working knowledge of SQL, including joins, aggregations, and data transformations.
Basic to intermediate proficiency in Python with experience using data libraries (e.g., pandas, NumPy) through coursework, projects, or internships.
Exposure to Databricks, Apache Spark, or cloud-based data environments.
Experience working with real-world datasets and performing data validation and troubleshooting.
Strong curiosity and willingness to learn.
Strong analytical and problem-solving abilities with attention to detail.
Ability to communicate technical findings to non-technical audiences.
Ability to manage multiple workflow priorities using Jira or similar project management tools and work independently.
Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or related quantitative field.
Internship, academic project, or research experience involving data analysis is strongly preferred.

Nice to Have

Experience with Tableau, Power BI, or similar visualization tools
Familiarity with marketing analytics concepts or campaign performance metrics
Exposure to marketing platforms such as Google Analytics or Salesforce
Experience using version control tools (e.g., Git)
Understanding of ETL or data pipeline concepts

What We Offer

Hands-on experience working with large-scale marketing and customer datasets
Mentorship & development in SQL, Python, Databricks and modern analytics tools
Opportunities to influence marketing strategy through data insights
Exposure to cloud-based analytics and data engineering practices
A strong career development foundation in data analytics and marketing analytics
Access to cutting-edge AI-assisted development tools, including Claude Code, empowering you to accelerate analysis & prototype solutions rapidly

What You`ll Get

25 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Private medical, dental, and vision insurance with dependent enrolment
Life insurance with enhanced coverage and global 24/7 protection
Income protection after 26 weeks, covering a portion of salary
Defined contribution pension plan with employer match
Worldwide travel insurance for business and leisure, with option to enroll dependents
Employee Assistance Program with therapy, legal, and financial support, plus online GP services and wellbeing programs
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

#LI-AP1

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.