Paid Media Lead (Growth & Analytics)

3+ years managing paid acquisition in a B2C or high-volume digital environment. Deep analytics and martech expertise, strong proficiency in GA4, GTM, consent mode, attribution, Looker Studio. Proven track record in CRO (landing page optimisation, funnel audits, UX experiments, messaging tests). Hands-on experience building or maintaining a tracking / measurement stack. Strong experimentation muscle: designing hypotheses, running A/B tests, interpreting results, and shipping learnings. Comfortable owning multi-million rand budgets and reallocating spend dynamically. Ability to model and explain the “why behind the numbers”, translating cohort curves, confidence intervals, and lift into plain English. Experience with SQL, BigQuery, Amplitude, or similar analytics tools (preferred). Exposure to technical SEO, pricing experiments, or lifecycle/retention (preferred). Experience mentoring or leading junior performance/growth talent (preferred). Background in edtech, subscription, or other high-intent B2C environments (preferred).

Build, maintain, and optimize the full tracking and analytics stack (GTM, GA4, consent mode, enhanced conversions, offline conversions, BigQuery). Diagnose which growth lever will meaningfully shift performance. Own attribution, cohort modelling, CAC/LTV forecasting, and revenue insights across the funnel. Lead all paid media channels (Google, Meta, YouTube, Reddit, etc.) with a focus on high-intent acquisition and efficiency. Build campaigns end-to-end, from audiences to creative testing, with analytics-driven optimisation. Reallocate budgets dynamically based on real-time performance, funnel data, and experiment learnings. Run structured experimentation across landing pages, funnels, UX flows, and pricing. Partner with Product and Design to improve conversion rates. Build the experimentation backlog, define hypotheses, measure lift, and codify learnings. Work with Product, Sales, and Engineering to tell a consistent data story. Improve user experience through insights-led recommendations. Collaborate with creative teams to guide high-impact concepts based on performance data. Build processes, ETLs, dashboards, and automation that make performance visible. Continuously improve data quality, measurement integrity, and analytics depth.