Data Operation Analyst

Wildnet Technologies; Dadri; On-site; INR 500,000 - 800,000; Full time

Job summary

Wildnet Technologies is seeking a curious and analytically minded Data Operations Executive to join our Data & Technology team. This role focuses on SQL, Python, GA4, Google Tag Manager, and data reporting to support tracking implementations, data infrastructure and automation across multiple client accounts.

You will collaborate with marketing and analytics teams, ensure data quality, and build dashboards in Looker Studio.

Qualifications

• Hands-on knowledge of SQL.
• Python with 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.

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.

Skills

SQL

Python

GA4

Google Tag Manager

Looker Studio

APIs

Data quality

Analytical thinking

Tools

Google Tag Manager

GA4

Looker Studio

BigQuery

Job description

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.