data analyst in marketing analytics

Veeam is a Data and AI Trust Company that helps organizations understand, secure, and protect their data and AI. It provides data resilience and data security posture management for over 550,000 customers worldwide.

• Analyze marketing performance data to identify trends, optimization opportunities, and key performance drivers;
• Evaluate customer acquisition, engagement, and conversion metrics to support marketing strategy;
• Design and implement an intelligent lead ingestion framework with AI-driven data parsing, validation, enrichment, scalable automation pipelines, and a user-friendly monitoring interface;
• Translate complex data into clear insights and recommendations for stakeholders;
• Support ad-hoc analysis and identify opportunities for deeper insights;
• Write SQL queries to extract, transform, and analyze marketing and enterprise data;
• Use Python for data cleaning, automation, and exploratory analysis;
• Assist with curated datasets, data models, and data quality checks;
• Use Claude Code to design interfaces, agents, and automation steps;
• Develop and maintain dashboards and marketing performance reports using BI tools;
• Automate recurring reporting processes;
• Partner with marketing, analytics, data science, and data engineering teams;
• Document data definitions, logic, and reporting methodologies.

• Strong working knowledge of SQL, including joins, aggregations, and data transformations;
• Basic to intermediate Python proficiency with data libraries such as pandas and NumPy;
• Exposure to Databricks, Apache Spark, or cloud-based data environments;
• Experience with real-world datasets, 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 workflow priorities using Jira or similar tools and work independently;
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or a 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 Google Analytics or Salesforce, experience with Git, understanding of ETL or data pipeline concepts.

• Volunteer employment type;
• 25 Paid vacation days, 4 extra global VeeaMe Days, and 24 paid volunteer hours annually;
• Private medical, dental, and vision insurance with dependent enrolment;
• Life insurance with enhanced coverage and global 24/7 protection;
• Income protection after 26 weeks, covering a portion of salary;
• Defined contribution pension plan with employer match;
• Worldwide travel insurance for business and leisure, with dependent enrolment option;
• Employee Assistance Program with therapy, legal, and financial support, online GP services, and wellbeing programs;
• Access to LinkedIn Learning, O’Reilly, mentoring, workshops, and learning events;
• Hands-on experience with large-scale marketing and customer datasets;
• Mentorship and development in SQL, Python, Databricks, and modern analytics tools;
• Opportunities to influence marketing strategy through data insights;
• Exposure to cloud-based analytics and data engineering practices;
• Access to AI-assisted development tools, including Claude Code.