Revenue Intelligence Operations Analyst, Marketing

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.

Revenue Intelligence Operations Analyst, Marketing

About This Role

This role offers the opportunity to work hands-on with large-scale marketing and customer datasets while building a strong foundation in data and marketing analytics. You will receive mentorship and development in SQL, Python, Databricks, and modern analytics tools, while gaining exposure to cloud-based analytics and data engineering practices. This is an excellent opportunity for an early-career analyst looking to develop technical expertise, AI fluency, and business acumen in a collaborative, data-driven environment.

***Must be located in Central or Eastern Time Zone***

What You'll Do

Data Analysis & Insights

Analyze marketing performance data to identify trends, performance drivers, and optimization opportunities.

Evaluate customer acquisition, engagement, and conversion metrics to support marketing decision-making.

Design and implement scalable lead ingestion solutions using AI-driven data parsing, validation, enrichment, and automation techniques.

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 preparation, automation, and analysis

Assist with building and maintaining curated datasets, data models, and data quality checks

Utilize AI-assisted development tools, including Claude Code, to build interfaces, agents, and workflow automations.

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

Technical Skills

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.

Professional Skills

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 priorities and collaborate effectively across teams.

Education & Experience

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