TAM Recruitment & Data Automation Specialist

The Nielsen Company

Philippines

On-site

PHP 500,000 - 800,000

Full time

14 days+

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Job summary

Nielsen in the Philippines seeks a highly analytical professional to manage end-to-end TAM recruitment processes, automate ES workflows, and support field operations with technical tooling.

You will build and fix operational tools, run data dashboards, and provide cross-functional technical support to accelerate panel installations and ensure data quality.

Education: Bachelor's in CS/IT/Data Science or related field; strong Python/VBA scripting skills preferred.

Qualifications

  • Bachelor's degree in computer science, information technology, data science, or related field.
  • Strong analytical skills with experience in data analytics and dashboard creation.
  • Experience managing end-to-end operational pipelines and data quality output.
  • Ability to collaborate cross-functionally and manage field communications.

Responsibilities

  • End-to-End TAM recruitment and area management across the Philippines.
  • Address lifecycle tracking, dispatch to field, and weekly recruitment reporting.
  • Deep data analytics to protect Demo Health and data quality of the panel.
  • Field operations support and rapid resolution of field queries.
  • Automate workflows using SurveyToGo, AppSheet, and Data Dashboarding.
  • Provide cross-functional technical support to build and fix ES tools.

Skills

Python
VBA scripting
Data analytics
Dashboard creation

Education

Bachelor's degree in computer science, information technology, data science, or related field

Tools

SurveyToGo (STg)
AppSheet
Data Dashboarding

Job description

Nielsen in the Philippines seeks a highly analytical professional to manage end-to-end TAM recruitment processes, automate ES workflows, and support field operations with technical tooling.

You will build and fix operational tools, run data dashboards, and provide cross-functional technical support to accelerate panel installations and ensure data quality.

Education: Bachelor's in CS/IT/Data Science or related field; strong Python/VBA scripting skills preferred.

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