Data Operation Analyst

About the Role We are looking for a curious and analytically minded Data Operations Executive to join our Data & Technology team.This is an ideal opportunity for someone with a foundation in SQL, Python, GA4, Google Tag Manager and data reporting , who wants to build a career at the intersection of Digital Analytics, Data Operations and Marketing Technology .You will support tracking implementations, data infrastructure, reporting solutions and automation across multiple client accounts. Key Responsibilities • Implement and maintain tracking solutions using Google Tag Manager (GTM) . • Perform tag audits, troubleshoot DataLayer issues and conduct tracking QA. • Configure and manage GA4 events, conversions, audiences and reporting structures . • Write and maintain SQL queries to extract, clean and analyse data. • Use Python for data wrangling, automation and supporting data pipeline activities. • Build and maintain dashboards and reports using Looker Studio / Data Studio . • Support data storage and querying using Google Cloud Platform (GCP), particularly BigQuery . • Work with APIs to extract data from advertising platforms and third-party sources. • Perform data-quality and tracking checks to ensure accuracy and integrity. • Support report automation and identify opportunities to reduce manual processes. • Work with Data, Technology and Account teams to understand reporting requirements. • Document tagging structures, processes and data flows. Required Skills • Hands-on knowledge of SQL . • Working knowledge of Python , preferably Pandas/data-wrangling experience. • Hands-on exposure to Google Tag Manager (GTM) . • Good understanding of GA4 , event tracking and conversions. • Experience with Looker Studio / Google Data Studio . • Understanding of web analytics and tracking concepts. • Comfortable working with APIs. • Strong analytical and problem-solving skills. • Good attention to detail and data-quality mindset. • Strong communication skills and willingness to learn.