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Quantitative Business Analyst - YouTube

YouTube


Location:
San Bruno, California
Date:
03/16/2017
Categories:
  • Data Analytics
  • Business Intelligence
  • Data Scientist
YouTube
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Job Details

The Business Strategy & Operations organization YouTube strategy provides business critical insights using analytics, ensures cross functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward. We stay focused on aligning the highest-level company priorities with strong day-to-day operations, and help evolve early stage ideas into future-growth initiatives.

YouTube’s ecosystem is constantly growing and evolving, and it is critical to deploy resources efficiently to best serve YouTube’s advertisers, publishers and users globally. Fast-paced, dynamic and proactive, analysts on the team focus on assessing strategic initiatives, coordinating business planning, and driving actionable insights. You will be responsible for identifying key growth drivers across a broad set of partners and verticals (media companies, vloggers, sports leagues, music publishers, etc.), leveraging and making sense of the vast amounts of data at YouTube.

As a quantitative business analyst, you will provide analytical horsepower and project management to support YouTube’s key strategic and operational priorities. You will frame and structure solutions, analyzing data and applying critical thinking to make recommendations and inform major business decisions. Using analytical rigor and statistical methods, you will mine through data to identify opportunities for YouTube, applying your analytical expertise to help advise strategy and optimize business operations.

You will work cross-functionally with YouTube's Sales, Product, Engineering, Finance, and HR teams. You will become an expert on YouTube’s data, business intelligence systems and technologies across the full stack of the data science workflow. You will leverage technologies such as R, Python and Dremel (SQL) to process, analyze and interpret massive data sets. Further, you will be responsible for coordinating how the findings and data are used and consumed: from distilling your analyses into actionable insights to presenting this information in dashboards or reports.

YouTube has grown into a community used by over 1 billion people across the globe to access information, share video, and shape culture. The YouTube team helps budding creators build careers, creates products like YouTube Kids, YouTube Music, and YouTube Gaming, and engages communities around shared passions and global conversations. Together, we empower the world to create, broadcast, and share.

 

Responsibilities

  • Become an expert on the key data systems that exist at YouTube.
  • Research and analyze key business drivers, competitive environment, opportunities, trends, and operating metrics based on that data.
  • Execute sophisticated quantitative analyses and advanced modeling that translates data into actionable insights.
  • Analyze research data and synthesize raw information into insights, recommendations, dashboards, and reports.
  • Prepare presentations and clearly communicate findings from initiatives to senior management and to the broader organization.

Requirements

Minimum qualifications:

  • BA/BS degree in technical or business fields or equivalent practical experience.
  • 4 years of relevant experience in an analytical role, such as management consulting, business intelligence or corporate strategy.
  • Experience with database query, SQL coding and analysis

 

Preferred Qualifications

  • Experience or passion in consumer internet, media or online video industries.
  • Background in computer science, statistics, machine learning, or financial analysis.
  • Additional statistical analysis experience (e.g. R, Python, Stata, MATLAB).
  • Excellent spreadsheet software modeling and presentation software skills.
  • Expertise in the data analysis workflow (data mining, statistical analysis, etc.).
  • Ability to communicate and influence effectively by presenting data in a compelling way.

 

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