We are seeking a detail-oriented Digital Data Analyst to oversee the financial performance of our paid media campaigns. This role involves analysing advertising spend, optimizing budgets, and ensuring maximum return on investment (ROI) across various digital platforms.
We’re looking for a sharp, analytical mind who can dive into client media spend, performance data, and surface clear, actionable insights that drive real value.
As our Digital Data Analyst, you’ll be the go-to expert for ensuring our paid media campaigns (spanning Meta, AdWords and more) deliver exactly what they promise—on target, on budget, and with tangible returns. You’ll consolidate complex data into compelling narratives, manage media plans to meet forecasted outcomes, and work directly with revenue and delivery teams to ensure spend and performance are always aligned.
This is a role for someone who doesn’t just understand data—but knows how to tell its story.
Financial Analysis & Budgeting: Monitor and analyse paid media expenditures, ensuring cost efficiency and alignment with financial goals.
Performance Tracking: Evaluate campaign effectiveness using key financial metrics such as CPC (Cost per Click), CPA (Cost per Acquisition), and CTR (Click-Through Rate).
Data-Driven Insights: Provide actionable recommendations based on financial data to optimize media spend and improve campaign performance.
Develop financial models to predict future media spend and revenue impact. Collaboration: Work closely with Strategic Partnership, Digital and finance teams to align media strategies with business objectives.
Market & Competitor Analysis: Research industry trends and competitor strategies to identify opportunities for cost-effective media investments.
Proven experience in paid media analytics, financial modelling, and digital advertising.
Strong proficiency in Excel, Google Analytics, and media buying platforms (Google Ads, Meta Ads, etc.).
Ability to interpret complex financial data and translate insights into strategic recommendations.
Experience with SQL or Power BI for data visualization.