Revenue Intelligence Operations Analyst, Marketing

Veeam Software

3d•$53,300 - $122,400•Remote

About The Position

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

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.
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.
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 Haves

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

Responsibilities

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.

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