Senior Analytics Engineer - Infrastructure Data Science and Engineering

Netflix is enjoyed by more than 200 million households globally, entertaining new audiences every day.  Netflix’s cloud platforms and internal tools play a key role in making the Netflix experience great.  We are one of the pioneers of leveraging a highly scalable cloud footprint to deliver delightful experiences to our members worldwide. The Infrastructure Data Science and Engineering team leads the analytic innovation that enables architecting secure, scalable, and efficient platforms. We partner with our internal engineering teams to empower them through intelligent analytic products and integrated models that enable smarter decision making. 
Our team currently has 4 pods, and a successful candidate would have the opportunity to work across any of these areas:
Platform Innovation - focuses on large initiatives within the platform engineering org focused on human efficiency and reduced complexity enabling engineers and scientists to do their best and most innovative work. Our main partners in this space are the Productivity Engineering teams which provide the platforms to build, deploy, and run the jobs, services, and applications that enable the Netflix product (and internal products like studio and finance tools, and data products).
Platform Scale - focuses on enabling our platform to scale efficiently to support new business areas as well as position ourselves to be able to reach 100s of millions of new members as the Netflix business grows around the world. We look for innovative ways to help the platform grow and scale for our needs.
Security - focuses on keeping the Netflix service secure for our members as well as securing our corporate infrastructure for employees and contractors. 
Core DSE - is a software engineering heavy group which builds tooling for the Netflix Data community, enabling them to more effectively focus on business problems rather than boiler plate work needed to build, develop and deploy software at Netflix.  
We are looking for a Senior Analytics Engineer to drive business impact by building reliable data insights and intuitive visualizations that allow our partners 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 our passion for continuously improving the ways we 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, 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 judgement 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 

Some bonus attributes:

• A passion for Cloud Infrastructure, Productivity tooling, Application Security, and/or Information Security
• Expertise with React and JavaScript
• Past leadership experience
• Machine learning expertise
• Software Engineering experience

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 infrastructure space
• Effortlessly manipulate large amounts of noisy data to answer new questions for the team and the business
• Develop subject-matter expertise in the infrastructure domain at Netflix 
• Act as a thought partner to the 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 diverse skill set, and deliver excellent solutions that better enable our decision-making process

A few more things to know: Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. Context will change rapidly. You will need to be nimble and take smart risks.