Senior Analytics Engineer - Corporate Finance

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Netflix is the world's leading streaming entertainment service with over 200 million members and $25 billion in annual revenue. Our Corporate Finance department ensures the accuracy of revenue and expense, manages our tax responsibilities around the globe, and streamlines our overall finance operations and processes. Our financial footprint is growing increasingly complex due to the dynamics of our global scale, product innovations and business partnerships.

The Corporate Finance DSE team is part of Data Science and Engineering (DSE). The team is focused on building analytic solutions to provide insights into the company’s financial landscape, and enabling the Corporate Finance department to access and analyze data efficiently. In this Senior Analytics Engineer role, you will work collaboratively with a large cross-functional team including Finance, FP&A, Data Engineering, and Engineering teams to build tools that help the company make better data-driven decisions.

Visit our culture deck and long-term view to learn more about the unique Netflix culture and the opportunity to be part of our team, and our Research page to learn more about Analytics at Netflix.

What you will do:

• Develop subject-matter expertise in the context of Finance
• Proactively identify new analytic projects and determine enhancements to existing solutions
• Work with large sets of data to build data pipelines and analytics for executive and company wide reporting
• Fill in the gaps that exist in dashboards and reports by performing analysis, yet take ownership of improving those tools to facilitate self-service
• Work collaboratively with data engineers, analysts, and data visualization engineers to deliver analytic solutions
• Work cross-functionally with FP&A, Finance Operations, Financial Applications, and Internal Audit for tight alignment

Who you are:

• You are an analytics-minded engineer with a strong passion for empowering business with data solutions
• You can take vague requirements and crystalize them into data analytics and tooling
• You have an aptitude for accuracy, automation and scaling, and can translate business needs into robust data models and solutions
• You are able to express data through curated visualizations and compelling storytelling
• You enjoy being highly connected to the business and solving problems end-to-end with minimal oversight
• You can clearly articulate metric definitions, data insights and project roadmaps in verbal and written form
• You have great collaboration skills, and can influence cross-functional teams through strong thought partnership 

Experience you have:

• Extensive experience in using SQL and programing languages (e.g. Python, Spark) to analyze and manipulate data
• Extensive experience in data visualization tools (e.g. Tableau, Looker), including viz development, complex dashboard actions, and optimizations
• A strong understanding of data modeling and workflow management (e.g. Apache Airflow) is necessary
• Experience using code repositories (e.g. Github, Stash) is highly desirable
• Experience partnering with finance and accounting teams and familiarity with related data concepts is highly desirable
• Experience at one or more e-commerce or subscription-oriented businesses preferred
• An understanding of web development with React and Node is preferred