Incentives Analytics and Development Analyst, YouTube - Google

New York, NY

About the Job

This role may also be located in our Playa Vista, CA campus.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Bruno, CA, USA.

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 YouTube 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 YouTube Business Go-to-Market (GTM) Solutions team is responsible for driving all Go-To-Market functions for the YouTube 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 YouTube Product Activation, as well as YouTube Product and Data Science teams, in order to drive and deliver the most actionable goals and opportunities for our managers and their partners.

At YouTube, 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 for new hire 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, YouTube 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 YouTube’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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Source : Google