Role Overview
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.
What You Will Do
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.
Why It Might Be a Fit
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.
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
To apply for this job please visit job-boards.eu.greenhouse.io.

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