Senior Analytics Architect - Analytics Rationalization Audit - remote USA

Senior Analytics Architect - Analytics Rationalization Audit - remote USA

Posted 1 day ago by EdgeAll

Negotiable
Undetermined
Remote
Remote

Summary: The Senior Analytics Architect role focuses on leading analytics modernization and transformation initiatives, particularly in the retail industry. The position involves comprehensive audits of enterprise analytics ecosystems, designing future-state architectures, and establishing data governance frameworks. The role requires extensive hands-on experience with various analytics platforms and a deep understanding of e-commerce analytics. This position is remote and emphasizes client engagement leadership.

Key Responsibilities:

  • Lead comprehensive audits of enterprise analytics ecosystems, mapping data flows across web platforms, native mobile applications, and B2B systems.
  • Document current state architectures including tag management systems, analytics SDKs, event schemas, data layer implementations, and downstream data warehouse integrations.
  • Design future-state analytics architectures that unify cross-platform tracking, establish governance frameworks, and enable advanced analytics capabilities.
  • Evaluate and recommend analytics platforms based on cost, flexibility, privacy/compliance requirements, and business objectives.
  • Architect analytics data pipelines into Snowflake and other cloud data platforms, designing for near-real-time ingestion, data quality, and scalability.
  • Develop proof-of-concept integrations demonstrating technical feasibility and business value.
  • Establish data governance frameworks, validation processes, and operational support models.
  • Possess retail industry experience with a deep understanding of e-commerce analytics, omnichannel measurement, merchandising KPIs, and retail-specific use cases.
  • Have extensive hands-on experience with Adobe Analytics, Google Analytics, or equivalent enterprise analytics solutions including implementation, administration, and data exports.

Key Skills:

  • Extensive hands-on experience with Adobe Analytics, Google Analytics (UA and/or GA4), or equivalent enterprise analytics solutions.
  • Deep understanding of e-commerce analytics and omnichannel measurement.
  • Experience in designing analytics architectures and data governance frameworks.
  • Ability to evaluate and recommend analytics platforms based on business objectives.
  • Experience in architecting data pipelines into cloud data platforms like Snowflake.
  • Strong documentation and communication skills.
  • Retail industry experience, particularly in merchandising KPIs and retail-specific use cases.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
  • Highlighting the important section in the requirement from JD

    What You'll Do

    Client Engagement Leadership

    Analytics Modernization & Transformation

    • Lead comprehensive audits of enterprise analytics ecosystems, mapping data flows across web platforms (server-rendered, headless/SPA), native mobile applications, and B2B systems
    • Document current state architectures including tag management systems, analytics SDKs, event schemas, data layer implementations, and downstream data warehouse integrations
    • Design future-state analytics architectures that unify cross-platform tracking, establish governance frameworks, and enable advanced analytics capabilities
    • Evaluate and recommend analytics platforms (Adobe Analytics/AEP, GA4, Amplitude, Mixpanel, composable CDP stacks) based on cost, flexibility, privacy/compliance requirements, and business objectives

    Data Warehouse & Cloud Integration

    • Architect analytics data pipelines into Snowflake and other cloud data platforms, designing for near-real-time ingestion, data quality, and scalability
    • Develop proof-of-concept integrations demonstrating technical feasibility and business value
    • Establish data governance frameworks, validation processes, and operational support models

    • Retail industry experience required deep understanding of e-commerce analytics, omnichannel measurement, merchandising KPIs, and retail-specific use cases

    Enterprise analytics platforms: Extensive hands-on experience with Adobe Analytics, Google Analytics (UA and/or GA4), or equivalent enterprise analytics solutions including implementation, administration, and data exports