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Senior Analytics Engineer, Finance
Netflix
Los Gatos, CA, United States
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Netflix is the world’s leading Internet television network with more than 85 million subscribers worldwide enjoying billions of hours of TV shows and movies per month. Our growth and innovation is driven in large part by using the data we generate to improve strategic and tactical decision making. The Finance Analytics team is responsible for providing insights and building analytical tools to analyze and track subscriber forecasting, retention, revenue flows, partner integration, and RevenueShare program. In addition, this team also owns core foundational subscriber and billing data sets and plays a major role in influencing business and other data teams to derive maximum value from this data. We are looking for a senior analytics engineer who will partner with Finance, engineering and other data engineers to provide insights and build analytic products at scale as we continue to grow our offerings globally.
What you will do:
• Embed yourself with business stakeholders to influence decision making using data
• Develop and drive the adoption of self-service data product tools and solutions. Identify gaps and look for opportunities to innovate and lead the way.
• Uncover meaningful patterns and insights by doing proactive data analysis and sharing results with the business
• Build visually appealing, high performing and impactful reporting/dashboard products using tools like MicroStrategy and Tableau across large data sets
• Partner with data engineers to help design & develop data structures to enable richer analysis
• Continually explore better data methods to improve precision, accuracy and visualizations through tools or code
• Improve and maintain analytical tools related to critical month end close process by providing digestible and scalable solutions to the business.
Who you are:
• An analytical minded engineer/analyst with a strong background in supporting either Finance or related business units
• Extensive experience manipulating and analyzing complex data with SQL and other tools such as Python
• Experience querying Hadoop (Hive, Pig, Presto, Spark) and MPP databases (Redshift, Teradata)
• Experience with data visualization and analytics tools (Tableau, MicroStrategy, D3 etc.)
• Confidence to take ownership of projects and make decisions in a fast-paced environment with minimal documentation and process
• Exceptional communicator and comfortable working with various types of stakeholders
Netflix Culture:
Our culture is unique and we live by our values. You will need to be comfortable working in the most agile of environments. Requirements will be vague, and iterations will be rapid. You will need to be nimble and take smart risks. Does this sound exciting? Learn more at Netflix Culture.