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Senior Analyst, Analytics
RPA HealthSenior Digital Analyst on RPA's Analytics team turning data into actionable insights. Engaging with cross-functional teams to improve strategies and inform decisions based on analytics.
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- As an Equal Opportunity Employer, at RPA we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status, disability, or any other classification protected by federal, state, or local law.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Google AnalyticsAdobe AnalyticsSQLBusiness IntelligenceETL toolsA/B testingmultivariate testingemail analyticsgenerative AI toolsdata analysis
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingcuriosityattention to detailstrategic thinkingadaptabilitycreativitycritical thinking