Job
Description
About AdZeta AdZeta is a technology company that leverages AI-powered smart bidding technology to drive high LTV and profitability for e-commerce and D2C brands. We turn first-party data into predictive, value-based bidding and personalised customer journeys. As we expand our data practice, weâre searching for a Data Strategist who can translate complex datasets into clear business stories that drive measurable revenue lift. End-to-End Analytics > Build and maintain marketing dashboards in Tableau or Power BI that surface channel-level ROI, LTV, and incrementality. Data Engineering & ETL > Design ETL pipelines in Google Cloud (BigQuery) or comparable environments; automate data blends from GA4, Adobe Analytics, CRMs, and CDPs. Audience & Personalisation > Partner with media teams to create high-value audiences; inform campaign personalisation strategies using segmentation, propensity scoring, and AI models. Storytelling & Advisory > Turn raw numbers into board-ready insights; present findings that influence creative, media, and product road-maps. Experimentation & AI > Test and deploy AI/ML frameworks to predict churn, optimise bidding, and generate next-best-action recommendations. Required Skills & Experience 5+ years in marketing analytics, mar-tech, or data-driven consulting. Proficiency in SQL plus one BI tool (Tableau or Power BI). Hands-on experience with GA4, Adobe Analytics, and at least one CDP or audience platform. Fluency in ETL concepts and cloud data warehouses (BigQuery / GCP preferred). Strong data-storytelling chopsâable to persuade both technical and non-technical stakeholders. Exposure to AI/ML concepts or tooling (Vertex AI, AutoML, or similar) is a big plus. Nice-to-Have Experience with campaign analytics for paid search, paid social, or programmatic. Familiarity with server-side tagging, GTM, or Cloud Functions. Previous work in e-commerce, D2C, or subscription businesses. Why AdZeta Remote-first & async-friendly culture with flexible PTO. Ownership: competitive salary + equity option pool. Annual learning stipend for certs, conferences, or AI experimentation. Direct line of sight to C-suite; your insights shape product and go-to-market road-maps. Application Process Apply via LinkedIn with a short note on a recent analytics project you loved. 30-min intro call with People team. Data deep-dive & whiteboard session with Analytics Lead. Final culture-fit chat with Founder & CEO. Show more Show less
