Digital Analytics Platform Engineer

Overview As a Digital Analytics Platform Engineer, you design scalable, self-service data collection platforms that fit into the enterprise tech strategy. You will work with cross-functional teams to implement robust data collection, quality control, and monitoring, ensuring reliable analytics outcomes. You analyze large datasets to extract insights and refine data strategies, aligning with business goals and technology frameworks. This role offers the chance to shape digital analytics capabilities at scale and drive data-driven decision making. You will lead with thoughtfulness on data collection methods and enterprise integration in a fast-moving software environment. ResponsibilitiesDesign and develop scalable, self-service digital data collection platforms aligned with enterprise technology strategies.Automate and optimize data collection, quality assurance, and monitoring processes using JavaScript.Collaborate with cross-functional teams to implement end-to-end solutions.Ensure data integrity and reliability through robust quality control and monitoring systems.Analyze large datasets using SQL or analytics platforms to derive insights and refine data strategies.Provide thought leadership in digital data collection aligned with business goals and enterprise frameworks. Key requirementsBachelor in Computer Science or EngineeringOfficial Adobe Analytics Architect Master Certification and Tealium EventStream iQ Tag Management CertificationAdditional certifications: Tealium EventStream API Hub Certification; Adobe Customer Journey Analytics Developer Expert Certification5+ years of practical implementation experience with web/digital analytics tools and tag management systemsKnowledge of HTML/CSS and front-end development best practicesProficiency in Presto, SQL, Tableau, or Power BIFamiliarity with Agile methodologies and SDLC practicescross-functional collaborationeffective communicationanalytical thinkingAdobe AnalyticsGoogle AnalyticsTealium