Sr. Analyst, Analytics

Why You’ll Never Want to Leave Respect People. Produce Results. For more than 35 years, we’ve built a reputation for both the work we do and how we do it. Respect shows up in how we work together and with our clients. It means trusting people to do their jobs, giving them the space to do it well, and holding each other to a high standard. Because when people are respected, they do better work, work that grows businesses, shapes culture, and builds relationships that last. And just as important, they have the support to build a career and a life worth investing in. What You'll Be Helping Achieve RPA is seeking a Senior Digital Analyst to join our Analytics team. More than just working with data, this role is for someone who knows how to turn data into a story people actually understand and can act on. The ideal candidate brings analytical rigor, creative problem-solving, and practical business sense to the work, with experience across web and email analytics and confidence in both reporting and implementation. They also have a natural curiosity for how AI can improve the way we think, work, and uncover insights. 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 Ability to build sophisticated reports, including case studies and performance recaps 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 Micro…