TNT Growth · 4 days ago
Head of Data & Analytics
TNT Growth is a performance marketing agency focused on driving growth for businesses through data and operational excellence. The Head of Data & Analytics will establish a robust analytics foundation to enhance decision-making and ensure that analytics is proactive and integrated into the company's operations.
AdvertisingBusiness DevelopmentDigital Marketing
Responsibilities
Own TNT’s measurement strategy end-to-end
Define and operationalize agency-wide frameworks for KPIs, tracking, attribution, forecasting, testing, and learning
Build a measurement maturity model and move clients up it with clarity and structure
Architect and maintain a modern analytics stack including tracking, data pipelines, warehousing, modeling, and BI
Establish governance, QA, data quality monitoring, documentation, access standards, and privacy-forward measurement approaches
Deliver analytics that drives decisions — budget allocation, testing priorities, creative direction, CRO focus, and strategy
Build disciplined experimentation processes including incrementality, lift testing, and meaningful analysis
Lead client-facing analytics strategy and bring clarity to complex performance conversations
Push back on vanity metrics and unreliable narratives
Hire, lead, and develop analytics, analytics engineering, and data engineering talent
Build predictable intake, prioritization, scoping, and delivery processes
Partner closely with Media, Creative, CRO, Strategy, Engineering, Leadership, and New Business to embed analytics into outcomes
Qualification
Required
10+ years in analytics, data strategy, marketing science, or growth analytics
Proven experience building analytics foundations and systems at scale
Strong technical fluency across tracking, warehousing, data engineering, modeling, and BI
Deep familiarity with performance marketing analytics and modern attribution realities
Experience leading experimentation programs and advanced analytics such as incrementality, LTV/CAC, cohorting, or MMM
Demonstrated success leading high-performing analytics teams
Executive-level communication and stakeholder influence
Ownership mindset, proactive leadership, and strong accountability orientation