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.