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Analytical Lead, Brand Deals in YouTube

Google

Analytical Lead, Brand Deals in YouTube

Google

·

On-site

·

Full-time

·

2w ago

  • Build and analyze data products that assist YouTube Business divisions, specifically focused on Brand Agreements and Influence business strategy.

  • Convert commercial requirements into technical frameworks by applying extensive role-specific expertise and utilizing Google's internal processes and technologies.

  • Generate Insights from both internal and external datasets, using these findings to influence and align key stakeholders.

  • Build scalable infrastructure to measure Brand Agreement success of all initiatives.

  • Collaborate with the analyst group to identify friction in data sourcing and user journeys, while advocating for standardized best practices and conducting training sessions.

  • Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

  • 5 years of experience in analytics, business intelligence (BI), or data engineering.

  • Experience with relational databases including SQL queries, database definition, and schema design.

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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

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

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