Revenue Intelligence Operations Analyst

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $53.3k - $88.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 $500M Private Equity Round on 2019-01

SaaS • Cybersecurity • Enterprise

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• 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

• 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

• 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