3Pillar
Product Development
AnalyticsImplementationEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Analytics Implementation Engineer at 3Pillar. Skills: digital analytics implementation, technical expert, data collection, instrumentation. translating digital analytics requirements into precise, scalable implementations. ensuring accurate, efficient instrumentation across web, mobile, and connected TV platforms”
What You'll Achieve.
improve business outcomes; ensure consistent and efficient event tracking implementations; ensure prioritized, strategic, and technically feasible deployment of analytics capabilities
Industry & Context.
discovering solutions hidden in large data sets to improve business outcomes; audit, troubleshoot, and design client-side analytics tracking; audit and resolve analytics data quality issues
What They're Looking For.
Must Have
2-3+ years of hands-on experience in digital analytics implementation, Deep understanding of how Google Analytics tracking works across platforms and environments, Experience with analytics implementation on mobile apps (iOS/Android), Ability to audit, troubleshoot, and design client-side analytics tracking, Demonstrated ability to audit and resolve analytics data quality issues across platforms
Nice to Have
Experience with OTT/CTV platforms (Roku, Smart TV)
What You'll Do.
translating digital analytics requirements into precise
scalable implementations
efficient instrumentation across web
and connected TV platforms
and maintain digital analytics tracking across web
native mobile apps (iOS and Android)
and Connected TV/OTT platforms
deploy and optimize digital analytics technologies
Document requirements
and key data definitions
Translate business and analytics requirements into technical specifications
Support and advise engineers by answering technical questions
reviewing proposed implementations
and validating that tracking approaches align with data collection goals
Contribute to documentation of analytics tracking and data flows
Leverage and integrate tooling platforms such as Google Tag Manager
and other SKs to ensure consistent and efficient event tracking implementations
Contribute to implementation planning
How You'll Work.
Team & Collaboration
Collaborate with Product Management, Engineering, and external consulting teams; working across product, engineering, and BI stakeholders; global team; learning from top talent around the world and across cultures; leverage global resources to accomplish our work in efficient and effective teams
Communication Scope
Excellent cross-functional communication; comfortable working across product, engineering, and BI stakeholders; explaining technical concepts to engineering teams
Full Job Description
## Description 👋 Distinguished Tech Innovator: Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. The Analytics Implementation Engineer will serve as the technical expert responsible for translating digital analytics requirements into precise, scalable implementations. Reporting to a Senior Manager, this role focuses on the "how" of data collection-ensuring accurate, efficient instrumentation across web, mobile, and connected TV plattorms. The ideal candidate is fluent in both analytics and engineering, able to bridge the gap between business objectives and technical execution. If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science & Business Intelligence! .🚀💻 ## Key Responsibilities • Collaborate with Product Management, Engineering, and external consulting teams to design, implement, and maintain digital analytics tracking across web, native mobile apps (iOS and Android), and Connected TV/OTT platforms (e.g., Roku, Samsung, Vizio). • Serve as the technical subject matter expert (SME) on how digital analytics technologies are deployed and optimized, providing guidance on best practices for scalable, sustainable instrumentation. • Document requirements, data models, and key data definitions to ensure consistency and transparency in data collection. • Translate business and analytics requirements into technical specifications that front-end and back-end engineers can easily understand and act on. • Support and advise engineers by answering technical questions, reviewing proposed implementations, and validating that tracking approaches align with data collection goals. • Contribute to documentation of analytics tracking and data flows to ensure technical clarity for engineering teams. • Leverage and integrate tooling platforms such
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