Senior Analytics Strategist

2 weeks ago

Sydney, New South Wales, Australia beBeeAnalytics Full time $150,000 - $180,000
Job Overview:

The Lead Consultant, Analytics role is a pivotal position that shapes and implements clients' digital measurement strategies.

You will leverage your deep expertise in Google Analytics 4, Google Tag Manager, and privacy-first solutions to identify complex analytics challenges and translate them into actionable, robust technical implementations.

Key Responsibilities:
  • Designing and Implementing Advanced Digital Measurement Solutions: Plan, design, and implement comprehensive data analytics across diverse digital channels and platforms using the Google Analytics 360/GA4 suite.
  • Driving GA4, GTM, and Server-Side Tagging Implementations: Execute complex GA4 and Google Tag Manager configurations, including advanced data layer strategies, custom event tracking, and server-side tagging (e.g., Conversion API pipelines).
  • Architecting Robust Data Collection Ecosystems: Develop and maintain client-side and server-side sources of truth for analytics data, integrating with various technologies such as TMS, CDP (e.g., Tealium, mParticle), and CMS.
  • Providing Expert Guidance on Privacy-First Measurement: Act as a subject matter expert on evolving privacy regulations, cookie deprecation, and browser ID changes, ensuring clients' measurement strategies are future-proof and compliant.
  • Translating Business Needs into Technical Measurement Strategies: Collaborate closely with clients to identify core measurement and analytics needs, translating them into detailed technical specifications and actionable implementation plans.
  • Leading Client Engagements and Project Delivery: Oversee the end-to-end delivery of analytics projects, ensuring solutions are robust, scalable, and meet client objectives.
  • Fostering Data-Driven Decision-Making: Nurture clients' understanding of the importance of a well-defined and tested measurement strategy, acting as a consultative resource to help them build and optimize their own testing models and attribution frameworks.
  • Educating and Empowering Internal and External Stakeholders: Provide training and thought leadership on existing and new features/capabilities in Google Analytics and other analytics software, defining roadmaps for long-term customer analytics needs and fostering a culture of data literacy.
  • Integrating Diverse Data Sources: Understand and deploy integrations between analytics platforms and external data from POS systems, advertising networks, CRMs, location-based tracking, and offline paid media to create a holistic view of customer journeys.
  • Optimizing Processes for Efficiency and Scale: Identify opportunities to build efficiencies into repeatable processes, driving towards higher effective rates between client value and costs, and enabling global scalability of solutions.

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