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Data Operation Analyst

Wildnet Technologies Limited · Noida, UP, India

Imported listingfull-time15 days ago

About The Role

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.

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