Performance Marketing Analytics - Senior Associate

Responsibilities

• Identify, integrate, and analyze large, complex datasets from multiple sources to generate actionable insights and recommendations
• Design measurement approaches and experiments (including A/B, multivariate, and holdout designs) to quantify impact and inform decisions
• Interpret experimental results using primary and guardrail metrics, statistical significance, and practical business impact
• Diagnose performance drivers through segmentation, funnel analysis, and anomaly detection (for example: device, customer type, drop-off points, traffic allocation, and logging gaps)
• Build and maintain scalable, production-ready data pipelines and analytical frameworks that enable repeatable reporting and insights
• Write secure, stable, testable, and maintainable code using SQL and Python or R, with strong attention to quality and controls
• Communicate complex findings through clear narratives and visualizations; present to senior stakeholders and influence roadmaps and priorities
• Stay current on innovations in analytics and responsibly use approved AI-assisted analytics tools to accelerate development, documentation, and issue triage

Requirements

• Bachelor's degree in Data Science, Computer Science, or a related technical field
• 2+ years of applied experience in analytics, software engineering, or a related field
• Hands-on experience with system design, application development, testing, and operational stability
• Strong SQL skills and experience working with relational databases to extract, manipulate, and analyze data
• Experience building analytical solutions across multiple data sources, with attention to data quality and reproducibility
• Ability to manage multiple priorities independently with strong organization and attention to detail
• Strong written and verbal communication skills, with the ability to distill complex findings into clear, concise insights for varied audiences
• Experience translating analytical outcomes into business actions in partnership with cross-functional stakeholders

Preferred

• Master's degree in Data Science, Computer Science, or a related technical field
• Experience with data visualization or workflow tools (for example: Tableau or Alteryx)
• Proficiency in Python or R for analysis and automation
• Experience applying machine learning and generative AI tools to automate workflows and deliver insights, with a responsible and compliant approach
• Understanding of responsible AI practices, including data sensitivity considerations and secure handling of inputs and outputs

Benefits

• We offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.