Revenue Intelligence Operations Analyst

Role Description

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.

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.