Revenue Intelligence Operations Analyst, Marketing

About This Role:

• Opportunity to work with large-scale marketing and customer datasets while building a strong foundation in data and marketing analytics.
• Receive mentorship in SQL, Python, Databricks, and modern analytics tools, with exposure to cloud-based analytics and data engineering practices.
• Ideal for an early-career analyst looking to develop technical expertise, AI fluency, and business acumen in a collaborative environment.

What You'll Do:

• Analyze marketing performance data to identify trends and optimization opportunities, evaluate customer acquisition and conversion metrics, and design scalable lead ingestion solutions using AI.
• Write efficient SQL queries, use Python for data preparation and automation, and assist in building curated datasets and data quality checks.
• Develop and maintain dashboards and reports using BI tools, automate recurring reporting, and partner with marketing, analytics, and data engineering teams.

What You'll Bring:

• Strong working knowledge of SQL, basic to intermediate Python proficiency, and exposure to Databricks or cloud-based data environments.
• Strong analytical and problem-solving abilities, attention to detail, and ability to communicate technical findings to non-technical audiences.
• Bachelor’s degree in Data Analytics, Computer Science, or related field, with internship or academic project experience in data analysis preferred.

What You'll Get:

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days, and 24 paid volunteer hours annually.
• Paid parental leave (8 weeks for all parents, 16 weeks for birthing parents), medical/dental/vision coverage from day one, and mental health support.
• 401(k) retirement plan with company matching, fertility/adoption support, and opportunities to learn through on-demand libraries and mentoring.