Senior Data Analyst - Content Delivery Networks | Netflix, Inc. | Los Gatos, CA
Data Science and Engineering
Senior Data Analyst - Content Delivery Networks
Data Science and Engineering
Los Gatos, CA
Netflix streaming accounts for over 30% of peak downstream internet
traffic in North America. To help us deliver this content to our
viewers, we do this largely via Open Connect, a single-purpose Content
Delivery Network for Netflix streaming video capable of serving
extremely high volumes of data.
Intrigued by the challenges of moving terabytes of data over the
Internet? Excited at the prospect to develop new metrics and frameworks
to measure network phenomena alongside the best and the brightest in the
industry? We're looking for a rockstar data analyst to work directly
with the content delivery network architecture and engineering teams to
provide insight around the quality and performance of the streaming
experience.
Responsibilities:
- Deliver insight around usage and performance characteristics of video delivery
- Investigate the interactions of playback performance metrics
(play delay, average bitrate, rebuffer rates, etc.) and the effect on
subscriber usage
- Provide decision-support to engineers and managers by creating
reports, running queries, building predictive models – really doing
whatever it takes – to support the analytical needs of the Content
Delivery organization
- Provide expert advice and education in the usage and interpretation of data around quality of experience metrics
- Design, build, and maintain all parts of the data warehouse
infrastructure to support content delivery analysis (requirements
gathering, ETL, data modeling, metric design, reporting/dashboarding,
etc)
Qualifications:
Netflix Data Science & Engineering is different than most other
data warehouses. At other companies, the world revolves around
technical tracks – database development, ETL, report development,
analysis, data modeling, mathematical modeling, etc. Engineers are
assigned to one track, and only do that type of work, day in and day
out. At Netflix, the tracks are vertical business groups (Marketing,
Finance, Customer Service, Content, Product, Streaming), and our
engineers are assigned to one of those tracks, and leverage all of their
technical skills to solve business problems for that vertical group.
We look for engineers with experience both building and using
analytical tools at other companies – preferably leveraging any of the
three primary technologies that we use (MicroStrategy, Hive/Pig and
Teradata), though we do not limit ourselves to just these platforms.
The successful candidate will have a minimum of 5 years of
experience in a data-driven information environment designing and
implementing analytic insight systems - ideally in a consumer-facing or
web-based business. To succeed in this role, you should also have the
following qualifications and characteristics:
Essential
- Energetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverables
- MS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experience
- Passion for - and background in - leveraging data to drive significant business impact
- Extensive experience with analytical tools supporting data
analysis, reporting and visualization (MicroStrategy, Tableau, R, etc.)
- Extensive experience using SQL for analytic research
- Exceptional communication skills
- Bias-to-action: Responsive, team-oriented personal style for effectiveness with internal clients and colleagues.
- Flexibility and comfort working in a dynamic organization with minimal documentation and process
Desired
- Experience dealing with large volumes of data
- Experience with distributed analytic processing technologies (Hadoop, Hive, MapReduce, etc)
- Experience with consumer-facing internet products & services
- Experience analyzing system data a plus
- Knowledge of computer networking a plus
- Experience in ETL development and tools is a plus
- Some statistics background preferred
