Revenue Intelligence Operations Analyst

Veeam Software

Revenue Intelligence Operations Analyst working with customer datasets and analytics at Veeam Software. Focus on data analysis, technical skills in SQL and Python, with flexible remote work.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $53,300 - $88,800 per yearWebsite

Tech Stack

Tools & technologies

ApacheCloudNumpyPandasPythonSparkSQL

About the role

Key responsibilities & impact

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.
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.
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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonData AnalysisData ValidationData TransformationData ModelingData Quality ChecksLead Ingestion SolutionsAutomation TechniquesPerformance Metrics Evaluation

Soft Skills

Analytical ThinkingCommunicationCollaborationProblem-SolvingProactive Insight Generation