Implement testing tasks to optimize PPC campaign performance, including ad creatives, landing pages, and bidding adjustments based on defined strategies.
Assist in the setup of A/B tests and other experimental methodologies to measure the impact of changes on key performance metrics.
Monitor active tests and campaigns, compile results, and provide data summaries to help inform future optimization recommendations.
Maintain detailed records of testing processes and results to ensure consistency and facilitate team knowledge sharing.
Identify and suggest areas for automation within daily testing workflows to improve team efficiency.
Conduct analysis on campaign datasets to extract trends and insights for optimization.
Utilize and update custom scripts to automate data analysis and improve the speed of reporting.
Help maintain custom tools and dashboards used for PPC campaign management and performance analysis.
Requirements
Minimum of 3 years of experience in digital marketing or data analytics.
Solid foundational skills in data analysis tools like Excel, Looker, Tabelau and data visualization.
Experience with Google Ads.
Experience organizing data sets and providing clear summaries to support PPC campaign optimization.
Ability to track performance metrics and follow A/B testing protocols to provide data-backed suggestions.
Understanding of the statistical methods required to analyze marketing data accurately.
Familiarity with SQL/BigQuery is desired, and Python is a plus.
Tech Stack
BigQuery
Python
SQL
Benefits
Employee Pension Scheme
Flexible Benefits Program
Health Insurance & Critical Illness cover
Flexible work environment
Hybrid Model (3 days a week from the office, 2 days from home)