refresh

트렌딩 기업

트렌딩

채용

JobsGoogle

Measurement Implementation Expert, gTech Ads

Google

Measurement Implementation Expert, gTech Ads

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Parental leave

Comprehensive health, dental, and vision insurance

Team events and activities

Equity

Parental Leave

Healthcare

Required Skills

Python

PostgreSQL

JavaScript

About the job

Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.

Google creates products and services that make the world a better place, and g Tech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Responsibilities

  • Develop an understanding of client needs basis their Marketing Objectives (MOs), measurement objectives and provide measurement strategy and define Key Performance Indicators (KPIs) based on their eligibility criteria.

  • Design and execute measurement studies (Conversion Lift studies, Marketing Mix Modeling (MMM) calibrations etc.) for clients and position for success.

  • Leverage knowledge of measurement platforms (e.g., Ads, GeoX) and skills to design measurement studies, model results, and triage to Return on Investment (ROI) analysis on the media plans to inform the channel strategy.

  • Partner with Account Executives (AE) and Regional Product Lead (RPL) to interpret measurement results for the client and identify opportunities to increase product adoption for key solutions and grow investment.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience with marketing analytics, return on investment, and statistical analysis.

  • Experience with SQL or scripts, building data models and dashboards.

Preferred qualifications

  • Master’s degree in Analytics and Digital Advertising Measurement.

  • Experience with MMM, A/B testing, incrementality, marketing analytics, and Google Analytics integrations.

  • Ability to collaborate as part of a cross-functional team.

  • Ability to work in a fluid environment with excellent time-management skills.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

63,375 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total / year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense