The ideal candidate will have a strong background in data analytics, metrics, and insights, visualization/presentation, demonstrable data intuition, and share their passion for continuously improving the ways they use data to make the Netflix infrastructure better.
Who You Are
- Passionate about answering critical business questions through data
- Expert in data analysis and visualization tools (e.g., Tableau, D3, Looker, etc…)
- Proficient in manipulating large data sets with complex SQL and Python (or other similar languages)
- Experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink, etc…) on large scale data sets
- Excel at taking vague requirements and crystallizing them into data solutions using sound judgment gained through years of experience
- Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks
- Experienced at telling stories with data and communicating to stakeholders at all levels of the business
- Comfortable communicating your insights and contributions to a large set of users across varying technical background
What You Will Do
- Define novel and critical metrics for the business, and build and maintain data aggregates to power these metrics
- Rapidly design, construct and iterate on dashboards and other visualizations to inform decision making throughout the platform space
- Effortlessly manipulate large amounts of noisy data to answer new questions for the team and the business
- Develop subject-matter expertise in the cloud platform domain at Netflix
- Act as a thought partner to the platform engineering team, understand their challenges, and make opinionated recommendations that empower them with data solutions to efficiently scale Netflix infrastructure and tools
- Maintain and rethink existing data solutions to service a wider variety of use cases
- Enable smart analytics by building robust, reliable, and useful data pipelines and data sets that can power various analytic techniques like regression, classification, clustering, etc
- Join a stunning team of data experts with the diverse skill set, and deliver excellent solutions that better enable their decision-making process
More Information
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1