Analytics Platform Analyst responsible for implementation and consistency of analytics and reporting technology across digital platforms at Nuuly. Collaborating with engineering teams to ensure data integrity and accurate reporting.
Responsibilities
Define and maintain analytics implementation standards and best practices across Google Analytics and internal analytics tools, including documentation for analytics architecture, implementation patterns, and data collection specifications
Write technical requirements for analytics instrumentation on new features and enhancements, establishing reusable data collection patterns for consistent application across development
Participate in sprint planning, refinement, and story breakdown sessions; partner with Business Systems Analysts during execution; and conduct UAT on all analytics functionality before deployment
Collaborate with Reporting, Analytics, and Data Science team to gather and validate measurement requirements
Validate data collection accuracy and consistency across platforms (web, mobile, internal tools) and audit existing implementations to identify gaps, inconsistencies, or opportunities for improvement
Provide guidance to BSAs and engineering teams on analytics technical requirements
Troubleshoot analytics tracking issues and coordinate resolution with technical teams
Stay current on GA4 features, best practices, and digital analytics trends
Requirements
1-3 years of experience in analytics implementation, digital analytics, or technical business analysis roles
Hands-on experience with Google Analytics 4 or similar digital analytics platforms; experience with Google Tag Manager, BigQuery, and Firebase helpful
Working knowledge of REST APIs and microservices architecture
Proficiency with SQL for data validation and testing; familiarity with JSON and API testing tools such as Postman
Knowledge of modern web and mobile app architecture
Experience working on internet, mobile, or consumer-facing technology platforms preferred; understanding of ecommerce or subscription-based business models preferred
Strong technical writing skills with ability to translate business measurement needs into technical implementation requirements
Detail-oriented with strong QA and testing capabilities; ability to identify patterns and establish reusable standards
Effective communication skills across technical and non-technical audiences; comfortable working in Agile Scrum environments with cross-functional teams
Self-directed with ability to manage multiple priorities
Degree in computer science, information systems, data analytics, or equivalent experience
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