Role Overview We are seeking a Marketing Data Analyst to support our first-party data strategy and marketing experimentation programs. This role combines data engineering fundamentals with marketing measurement expertise to drive data-informed marketing decisions in a privacy-first environment. Key Responsibilities Marketing Data Pipeline Development: Build and maintain data pipelines using PySpark in Hadoop environments to extract, transform, and load marketing data from internal and external platforms First-Party Measurement & Experimentation: Support A/B testing, incrementality testing, and geo-based experiments to measure true marketing lift; prepare and maintain data pipelines for Marketing Mix Modeling (MMM) initiatives CRM & CDP Analytics: Manage data flows between CRM systems and Customer Data Platforms; build audience segments, support personalization efforts, and maintain unified customer profiles Data Quality & Governance: Develop data quality frameworks with automated validation checks and anomaly detection; ensure data accuracy and support privacy compliance requirements (GDPR, CCPA) Analytics & Reporting: Create automated workflows for campaign reporting and marketing performance dashboards; build analytics tools that provide insights into customer acquisition, ROI, and campaign effectiveness Cross-functional Collaboration: Partner with Marketing, Insights & Analytics team, Data Science, and other functions to translate requirements into technical solutions; define audience segmentation and measurement requirements for campaign delivery Required Skills Strong programming skills in Python with experience in PySpark and Spark SQL Advanced SQL knowledge for complex data manipulation and analytics Experience with Hadoop ecosystem components (HDFS, Hive, YARN) Familiarity with data orchestration tools (Airflow, Oozie, or similar) Understanding of experimentation methodologies: A/B testing, incrementality testing, and lift measurement Knowledge of first-party data strategies and privacy-compliant measurement approaches Experience with data visualization tools (Tableau, Power BI) Strong problem-solving abilities and analytical thinking This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
• Bachelor's or Master's degree in Computer Science, Data/CRM Data Analytics or related field • 3-5 years of experience in data analytics or data engineering, preferably with marketing data • Certifications in cloud platforms, Salesforce, or data management are a plus
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.