Paid Media Lead Analytics
Listed on 2026-02-18
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IT/Tech
Data Analyst, Data Science Manager
Hyperion Dev is one of the largest providers of accelerated tech education in EMEA and one of the oldest providers of 'coding bootcamps' in the world. We work with top universities such as Imperial College London, The London School of Economics, The University of Edinburgh, and Stellenbosch University to deliver structured technical courses and bootcamps that accelerate people into fulfilling tech careers.
We have been recognised as one of the top education technology scaleups in the world and gained the financial backing of Meta (previously Facebook), which recognised us as the most socially impactful startup operating in Africa, where we initially started our work.
We are dedicated to closing the global tech skills gap, and we achieve this by integrating tech education with human mentorship and expert code review powered by a workforce in Southern Africa, which lowers the cost of an accessible education in technology. This model has been successful, allowing us to reach millions of learners a year from over 60 countries. We have also partnered with government bodies such as the UK's Department for Education, who provide scholarships for students to study on our bootcamps and gain employment at companies such as AstraZeneca and the United Kingdom's National Health Service (NHS).
We're backed by nearly 2000 investors, having raised the largest crowdfunding round of funding for an edtech company in history. As a primarily bootstrapped, profitable, and scale‑up tech business, join us as we play our part in making the world a more stable, safer, and fair place.
ABOUTTHE ROLE
We’re looking for a Paid Media Lead with deep analytical and martech expertise
, not a surface-level “campaign optimiser.” This is a high‑impact, hands‑on role for someone who thrives on diagnosing bottlenecks, understanding user behaviour through data, building the tracking and analytics stack, and running experiments that drive meaningful business outcomes.
You’ll own our paid acquisition engine across multiple brands, but equally importantly, you’ll shape the measurement, attribution, CRO, and experimentation foundations that allow us to scale profitably.
If you enjoy combining paid media execution with growth analytics, GTM/GA4 instrumentation, experimentation frameworks, funnel optimisation, and real cohort insight — this is a rare opportunity to build the system from the ground up.
RESPONSIBILITIESGrowth Measurement & Analytics- Build, maintain, and optimise the full tracking and analytics stack (GTM, GA4, consent mode, enhanced conversions, offline conversions, Big Query).
- 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, You Tube, Reddit, etc.) with a focus on high-intent acquisition and efficiency.
- Build campaigns end-to-end, from audiences to creative testing, but with a strong emphasis on analytics-driven optimisation rather than surface-level campaign optimise rs.
- Reallocate budgets dynamically based on real-time performance, funnel data, and experiment learnings.
- Run structured experimentation across landing pages, funnels, UX flows, and pricing, rapid A/B tests, multivariate tests, and behavioural experiments.
- Partner with Product and Design to improve conversion rates across the full user journey.
- Build the experimentation backlog, define hypotheses, measure lift, and codify learnings.
- Work with Product, Sales, and Engineering to tell a consistent data story across the business.
- Improve user experience through insights-led recommendations, messaging, and funnel diagnostics.
- Collaborate with creative teams to guide high-impact concepts based on performance data.
- Build processes, ETLs, dashboards, and automation that make performance visible across the company.
- Continuously improve data quality, measurement integrity, and analytics depth.
- 3+ years managing paid acquisition in a B2C or high-volume digital environment, with clear evidence of impact on CAC/LTV.
- Deep analytics and martech expertise, strong proficiency in…
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