Open Data Science job portal

Senior Data Analyst – Studio Finance Engineering 61 views

Netflix is a pioneer in the entertainment industry and a global provider of streaming video content, now reaching over 180 million subscribers spread across nearly every country in the world. Their customers consume billions of hours of content per month on a myriad of devices, and business continues to grow rapidly as they focus on penetrating key international markets.

In 2019, they spent $12 billion on films, TV shows, and other exciting content, much of which will be branded Netflix Originals. As they venture to become the world’s greatest movie studio, they must successfully develop studio tools that will keep them nimble and effective. To that end, their organization is fast-growing and is a critical part of the business.

This area owns all applications built internally to assist various Netflix Content finance teams, and they are looking for a senior data analyst to support their finance team. Leaning on a consistent record in customer support with large-scale enterprises, they expect this role to drive their efforts to support a suite of apps that handle the company’s content spend (covering programming, budgeting and forecasting, deal tracking, payments, accounting, and financial reporting).
Los Gatos, California Product Core Engineering Senior Data Analyst – Studio Finance Engineering Netflix is a pioneer in the entertainment industry and a global provider of streaming video content, now reaching over 180 million subscribers spread across nearly every country in the world. Their customers consume billions of hours of content per month on a myriad of devices, and business continues to grow rapidly as they focus on penetrating key international markets. In 2019, they spent $12 billion on films, TV shows, and other exciting content, much of which will be branded Netflix Originals. As they venture to become the world’s greatest movie studio, they must successfully develop studio tools that will keep them nimble and effective. To that end, their organization is fast-growing and is a critical part of the business. This area owns all applications built internally to assist various Netflix Content finance teams, and they are looking for a senior data analyst to support their finance team. Leaning on a consistent record in customer support with large-scale enterprises, they expect this role to drive their efforts to support a suite of apps that handle the company’s content spend (covering programming, budgeting and forecasting, deal tracking, payments, accounting, and financial reporting).

  • Build reports and visualizations to support finance and content teams
  • Understand and own their financial data to connect data sets across their studio suite of applications
  • Work on SQL, Hive, Spark, Presto, R, Python, etc to drive analysis.
  • Create and monitor errors and alerts to maintain data quality
  • Partner with product managers and non-technical users to translate loose business questions into actionable reports and insights
  • Partner with engineering teams to understand their data
  • Analytical skills with an excellent grasp of SQL, R, Python, etc.
  • Experience and expertise with at least 2 reporting tools such as Tableau, Looker, etc
  • You enjoy working with data to identify patterns, anomalies, and opportunities
  • You love to use data to drive decision-making.
  • Focus on accuracy as these reports are used for key business decision-making and external reporting.
  • Exposure to Machine learning, Data science models is a bonus
  • Experience with ETL is a plus
  • Experience with visual / UI design a plus

More Information

Share this job
Company Information
Connect with us
Contact Us
https://jobs.opendatascience.com/wp-content/themes/noo-jobmonster/framework/functions/noo-captcha.php?code=cba1e

Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.