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Measurement Implementation Expert

Google · Posted Oct 19

Search engine, cloud computing, software, hardware, and artificial intelligence services

Bengaluru, Karnataka, IndiaFull-timeOnsiteSenior Level5+ years₹45.0L–₹80.0L yearly100+ applicants
InternetCloud ComputingSoftwareHardwareArtificial IntelligenceAdvertisingPublic Company
Full time

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About the role

Google's gTech teams provide technical and product advisory support to customers globally, helping them use Google products. The role sits within advertising measurement, designing measurement strategies and executing studies such as Conversion Lift, Brand Lift, XNR, and Geo-based experiments, and reconciling MMM, MTA, and incrementality data. The Measurement Implementation Expert partners with sales and product specialists to interpret measurement results and inform media strategy and budget allocation.

What you will do

  • Develop a deep understanding of client Marketing and Business Objectives. Design optimal measurement strategies and define sophisticated Key Performance Indicators (KPIs) tailored to client maturity.
  • Lead the end-to-end execution of measurement studies—including Conversion Lift, Brand Lift, XNR, and Geo-based Experiment —ensuing statistical significance (StatSig) on all uplift data.
  • Utilize advanced investigative skills to model experimental results and triage them into broader media plan Return on Investment (ROI) analyses. Analyze attribute lift across channels to inform high-level channel strategy and budget allocation.
  • Reconcile disparate data sources (MMM, MTA, and Incrementality) to provide a unified narrative of media effectiveness, helping clients navigate the shift toward third-party measurement.
  • Partner with In-Market Sales and Product Specialist teams to interpret complex measurement results for client leadership.

Skills used in this role

SQLPythonRMedia Mix ModelingMulti-Touch AttributionMMMMTAIncrementalityConversion LiftBrand LiftXNRGeo-Based Experiment

Preferred qualifications

  • Expertise in SQL, Python, or R for building data models and pulling insights from large, complex datasets.
  • Experience defining measurement frameworks for mid-funnel and audience acquisition goals, moving beyond traditional last-click conversion tracking.
  • Specialized experience in Media Mix Modeling (MMM), Incremenality and Multi-Touch Attribution (MTA) tools , with the ability to validate and integrate results from multiple measurement "sources of truth.
  • Deep understanding of the technical trends around privacy-safe measurement, conversion analytics, and attribution best practices.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Google

Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.

Industry
Internet
Company size
180000+ employees
Founded
1998-09-04
Location
Mountain View, California, USA
Funding stage
Public Company

Funding

Public Company · $25M raised

Kleiner PerkinsSequoia Capital
  • 1999-06-07Series A$25M

Leadership

SP
Sundar Pichai

Chief Executive Officer

AA
Anat Ashkenazi

Senior Vice President and Chief Financial Officer

PS
Philipp Schindler

Senior Vice President and Chief Business Officer

TK
Thomas Kurian

Chief Executive Officer, Google Cloud

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