Ejaz Ahmed

I'm a Marketing Data Analyst with 6+ years in paid media and a completed MSc in Data Science & AI. I work at the point where advertising platform expertise meets rigorous analytics. This means I can identify the problem in your data and communicate the finding to stakeholders without the jargon.

What I deliver: cross-platform advertising analytics (Meta, Google Ads, DV360, TikTok, LinkedIn), revenue forecasting models in Python, automated Looker Studio dashboards, data accuracy frameworks, and conversion tracking via GA4 and Google Tag Manager. I also understand attribution where last- click reporting misleads and building reconciliation processes that give you numbers you can actually trust.

Results I've produced: identified data accuracy gaps in Meta campaign reporting that led to a 104% ROAS improvement; built an e-commerce revenue forecasting model achieving 80% forecast accuracy to improve budget allocation decisions; improved financial data accuracy by 20% through a systematic reconciliation framework; reduced manual reporting work by 4+ hours per month through automated data pipelines and dashboard infrastructure.

I work best with e-commerce, FMCG, and retail brands running paid media across multiple platforms who need someone to make sense of the data, not just pull it. If your team is asking "why don't our platform numbers match GA4?" or "how do we forecast next quarter's revenue given our ad spend?" those are exactly the kinds of problems I solve. I'm UK-based, work fully remote, and operate across time zones.