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Analytics and Development Analyst

Job in San Bruno, San Mateo County, California, 94066, USA
Listing for: YouTube
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 111000 - 163000 USD Yearly USD 111000.00 163000.00 YEAR
Job Description & How to Apply Below
Position: Incentives Analytics and Development Analyst, YouTube

Minimum qualifications:

  • Bachelor's degree in Analytics, Data Science, Information Systems, Engineering, a related field, or equivalent practical experience.
  • 3 years of experience working in data analytics, consulting, data science, engineering, or technical operations role.
  • 3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (Python, R, Java, C++).
Preferred qualifications:
  • MBA or Master's degree.
  • 5 years of experience in the analytics space (e.g., Business Intelligence, Data Science, Product Analyst, Business Analyst, etc.).
  • Experience with code development lifecycle and working with Integrated Development Environments (IDEs).
  • Knowledge of You Tube creator ecosystem.
  • Ability to navigate ambiguity and grow in a fast‑paced environment.
  • Ability to present complex technical solutions and business recommendations to executive stakeholders.
About the job

The You Tube Business Go-to-Market (GTM) Solutions team is responsible for driving all Go-To-Market functions for the You Tube Business organization, including strategy and business operations, analytics and data science, partnership enablement, and product activation. The team is also responsible for shaping Go-to-Market priorities to accelerate growth and resource the business accordingly enhancing skills and capabilities to support execution of business priorities, driving efficiency across business operations, building excellent Go-to-Market infrastructure (e.g., data infrastructure, insights reports, decision making models, dashboards).

In this role, you will work closely with other teams within GTM such as You Tube Product Activation, as well as You Tube Product and Data Science teams, in order to drive and deliver the most actionable goals and opportunities for our managers and their partners.

At You Tube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting‑edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world.

We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $111,000-$163,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities
  • Lead development (e.g., defining technical requirements, business logic modeling, and execution in code base) that drives goal achievement for product areas.
  • Act as a thought leader in the creation of Objectives and Key Results (OKRs) goals, You Tube opportunities, and Key Performance Indicator (KPI) development for the product areas (e.g., Ads business generation).
  • Make business recommendations on OKR goal setting and related modeling methodologies using effective presentation skills and conveying findings at multiple levels.
  • Navigate You Tube’s data warehouse to access and work with all domain specific related data via SQL and other query languages.
  • Partner with technical teams to develop models needed to build out intelligent opportunities for strategic partner managers.
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