Sr. Analyst, Analytics

What You’ll Be Working On

• Deliver ongoing performance reports, translating data into insights and recommendations for business executives and digital stakeholders
• Conduct deep-dive analyses (e.g. A/B testing, audience segmentation, campaign performance, pre/post redesigns) to uncover trends and opportunities that drive optimization and growth
• Monitor performance and data quality, proactively identifying and flagging any issues to the appropriate teams
• Contribute to measurement strategy across brands, including measurement planning, goal setting, testing strategies, and performance evaluation across web and email
• Collaborate with cross-functional partners to analyze channel performance, inform strategy, improve user experience, and optimize marketing and analytics initiatives
• Support analytics implementation across websites and applications:
• Develop tagging documentation aligned with business requirements
• Conduct UAT for analytics tags in staging and production environments
• Identify, troubleshoot, and communicate tagging issues to relevant teams (e.g. account, media, tech, web dev, engineering, etc.)
• Expand analytics capabilities through forecasting, automation, and business intelligence solutions, including the development of internal and leadership dashboards
• Help shape an “AI-ready” analytics ecosystem by integrating AI into our data workflows, measurement, and governance practices
• Craft, test, and refine generative AI prompts to support accurate and thoughtful analysis
• Build and maintain a shared library of prompts, use cases, and best practices to enable consistent, high-quality outputs
• Apply a test-and-learn approach, iterating, evaluating, and validating outputs to ensure they are grounded in strong data and sound judgment

How You’ll Excel In Your Role

• Analytical & Technical Expertise
• 2+ years of experience with Google Analytics and/or Adobe Analytics, including troubleshooting tagging using network traffic and debugging tools
• Strong experience working with raw data using SQL and Business Intelligence (BI) tools
• Familiarity with ETL tools (e.g., Domo) to clean, transform, and prepare data for reporting
• Understanding of A/B testing, multivariate testing, and email analytics
• Understanding of data privacy, governance, and responsible AI usage in a marketing and analytics context
• Experience using generative AI tools (e.g., ChatGPT or similar), with a curiosity for applying AI to improve analytics workflows, reporting, and insight generation
• Data Storytelling & Communication
• Ability to translate complex technical concepts into clear, actionable insights for non-technical audiences
• Strong written and verbal communication skills with a passion for storytelling through data
• Experience creating clear, compelling presentations using Microsoft Office tools
• Project Management & Execution
• Strong project and time management skills with the ability to manage multiple priorities in a fast-paced environment
• Experience coordinating across teams to support implementation timelines and deliverables
• Hightly organized with the ability to prioritize tasks effectively
• Collaboration & Stakeholder Management
• Maintain open and transparent communication with stakeholders across technical and business teams
• Collaborative team player who works effectively across disciplines
• Ability to escalate issues appropriately while maintaining ownership of deliverables
• Ownership & Work Ethic
• Detail-oriented, reliable, and highly organized
• Proactive and self-motivated, with the ability to work independently
• Resourceful in identifying tools, processes, and efficiencies to improve workflows and outputs

Education & Background

• Bachelor’s degree or higher in a quantitative field (e.g. mathematics, statistics, computer science, physics, engineering, economics) or equivalent practical experience