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职位Google

Measurement Implementation Expert, gTech

Google

Measurement Implementation Expert, gTech

Google

·

On-site

·

Full-time

·

2mo ago

福利待遇

Equity

Parental Leave

Healthcare

必备技能

Python

PostgreSQL

JavaScript

  • 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.

  • 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.

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense