Sr. Data Analyst - Mark Rober Youtube

Why Join Mark Rober?

Mark Rober is a former NASA engineer and friend of science whose YouTube channel is viewed by millions every month. Mark and the team behind this channel are focused on bringing incredible videos to the masses, helping people “Think Like an Engineer” and develop a love for science.

What will you be doing?

We are seeking a Sr. Data Analyst specializing in YouTube analytics to join our strategy team. The successful candidate will leverage their in-depth knowledge of YouTube, including analytics tools like YouTube Studio and essential metrics (e.g., APV, AVD, retention curves) to empower strategic decision-making.

Responsibilities:

• Serve as a subject matter expert on YouTube analytics, including deep familiarity with YouTube Studio and metrics such as APV, AVD, retention curves, impressions, click-through rates (CTR), RPM, and more.
• Lead the analysis and interpretation of complex data sets specifically focused on YouTube analytics.
• Help in identifying macro-level YouTube trends, improving thumbnails and title choice, and generating actionable insights that influence strategic decisions.
• Perform advanced data extraction, cleaning, and visualization, combining data from diverse sources including the direct use of the YouTube API and brand monitoring tools.

Qualifications:

• Proven track record as a Data Analyst with a strong focus on YouTube or digital media analytics, possessing at least 5 years of relevant experience.
• At least 1-5 years experience with YouTube Studio.
• At least 1-5 years experience with statistical analysis software (e.g., R, Python)- Exceptional analytical, problem-solving skills, and meticulous attention to detail.
• Demonstrated ability in conducting thorough research, interviews, and assembling comprehensive, strategic reports.- Advanced proficiency in Excel, including manipulating and analyzing large data sets.
• Experience with data visualization tools and software (e.g., Tableau, Streamlit) is strongly preferred.
• Solid understanding and practical experience with the YouTube API for data extraction and analysis.

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