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Wildnet Technologies Limited

Data Operation Analyst

Noida, India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

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the posting

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.
Original posting on Wildnet Technologies Limited's site ↗

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