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Jellyfish is a global digital marketing agency combining tech expertise, creative talent, and data specialists to drive client digital transformation. The Analytics Manager role is a technical-operational position that manages the daily operations of the technical analytics team while serving as a strategic bridge between execution and business vision.
Key Responsibilities:
- Coordinate daily planning, task assignment, and tracking for the technical team to meet SLAs and project KPIs
- Ensure precision in implementations, measurement frameworks, data structuring, and tagging integration
- Identify and resolve technical and procedural bottlenecks with agility
- Guide the technical team collaboratively, fostering continuous improvement and operational excellence
- Facilitate transparent communication between the technical team, internal cross-functional teams, and stakeholders
- Support other Analytics team members by sharing expertise and skills
- Collaborate closely with account leaders and strategic directors to translate client needs into viable technical solutions
- Provide technical visibility and operational data to identify client strategy improvements and drive account retention/growth
Requirements:
- Demonstrated ability to prioritize, delegate, and organize technical team workflows
- Excellent verbal and written communication skills to synthesize technical topics for operational and executive audiences
- Experience optimizing processes with a conflict-resolution orientation
- Solid expertise in GA4 (Google Analytics 4) and behavioral/UX analytics tools (e.g., Quantum Metric)
- Advanced experience with Google Tag Manager (GTM) including client-side and server-side implementation
- Proficiency in SQL and data modeling
- JavaScript and HTML development skills sufficient for tagging script implementation, triggers, and datalayers
- Ability to build and structure analytical reports for decision-making in tools such as Data Studio, Looker Studio, Power BI, or Tableau
- General understanding of data collection methodologies
- Capacity to describe different analytics use cases and explain appropriateness of each
- Experience supporting data model design, research and insights, or campaign management across different formats
