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Senior Analytics Engineer – Platform Data Science & Engineering 85 views

They are looking for a Senior Analytics Engineer to drive business impact by building reliable data insights and intuitive visualizations that allow their stakeholders to easily leverage data in a self-service manner. As part of this team, you will work on both custom and out of the box data delivery solutions to enable smarter decision-making.

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

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