Growth Science Business Analyst, YouTube Marketing

3 Months ago • All levels • Data Analyst

Job Summary

Job Description

The Growth Science Business Analyst at YouTube Marketing plays a crucial role in driving user growth and engagement. This position involves designing and developing performance scorecards, analyzing user behavior to identify improvement areas, collaborating on quarterly planning and forecasting, monitoring campaign performance, and designing dashboards for data-driven decision making. The role requires deep data analysis skills, experience with research methodologies, and the ability to translate findings into actionable recommendations for senior executives. Responsibilities include working with large datasets, using SQL or similar tools, and communicating complex insights clearly and concisely. The ideal candidate is passionate about YouTube and the digital landscape and possesses excellent communication and collaboration skills.
Must have:
  • Bachelor's degree in quantitative field
  • Experience in research & analysis projects
  • Managing research agencies
  • Translating research into marketing recommendations
  • SQL skills or data modeling exposure
  • Designing performance scorecards and reports
  • Analyzing user behavior
  • Data-driven recommendations for campaign optimization
Good to have:
  • Qualitative research experience
  • Experimental design
  • Experience in eCommerce or subscription business
  • Familiarity with data pipeline tools
  • Data warehousing knowledge

Job Details


Minimum qualifications:

  • Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience.
  • Experience designing, scoping, executing, and delivering research and analysis projects.
  • Experience managing research and measurement agencies.
  • Experience translating research findings and insights into marketing recommendations.
  • Experience with SQL techniques or exposure to data modeling or machine learning concepts, scripting, or data dashboard.

Preferred qualifications:

  • Experience with qualitative research methods and approaches, designing experiments, analyzing data from experiments and summarizing findings.
  • Passion for the web video/YouTube ecosystem and digital culture or experience in eCommerce or subscription business.
  • Familiarity with data pipeline tools, data warehousing, or infrastructure processes.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

The APAC Platforms and Growth team is on a mission to connect users to the magic of YouTube, full-funnel lifecycle programs across owned and operating marketing inventory to drive awareness, acquisition, retention, and engagement channels of core product offerings. The role of the Platforms function is to build the channels, tools and operations, working with the Growth team who drive deep end-to-end acquisition and retention for our most strategically important product areas.

Responsibilities

  • Design and develop regional performance scorecards and reports to monitor key on-platform metrics and trends across priorities business areas. 
  • Analyze user behavior on our platform by conducting in-depth analysis of user interactions across key areas of the business to identify opportunities for improvement.
  • Collaborate in quarterly planning and forecasting, providing data-driven recommendations to prioritize campaigns and optimize finite inventory and impression caps.
  • Monitor and analyze campaign performance across initiative teams; providing actionable recommendations to stakeholders to optimize inventory.
  • Design and implement new dashboards and BI tooling, empowering marketers to self-serve various cuts of data for informed decision-making. Collaborate with stakeholders to understand data requirements and provide ongoing support and training.

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