The Role
Supports digital tracking implementations, GA4 configuration, data-quality checks, SQL analysis, Python automation, dashboard development, BigQuery data work, API integrations, and reporting across client accounts. The role documents data flows, troubleshoots tracking issues, maintains reporting infrastructure, and collaborates with data, technology, and account teams to improve accuracy and reduce manual processes.
Summary Generated by Built In
About the Role
Key Responsibilities
Required Skills
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.
- 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.
- 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.
Skills Required
- Hands-on knowledge of SQL
- Working knowledge of Python, preferably with Pandas or data-wrangling experience
- Hands-on exposure to Google Tag Manager
- Understanding of GA4, event tracking, and conversions
- Experience with Looker Studio or Google Data Studio
- Understanding of web analytics and tracking concepts
- Comfort working with APIs
- Strong analytical and problem-solving skills
- Strong attention to detail and data-quality mindset
- Strong communication skills and willingness to learn
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Wildnet Technologies is an award-winning digital marketing and SEO agency providing AI-powered SEO, performance marketing, white-label marketing execution, and IT services. Its offerings also include web and mobile application development, e-commerce and ERP solutions, link building, content strategy, and paid advertising. The company helps brands and agencies expand their online reach, improve rankings, generate traffic, and build scalable digital growth engines.








