Analytics Engineer (L5) - Content

Netflix has entered a completely new phase of its evolution. We are combining the worlds of technology and entertainment, with 200+ million global members and over 1000 original shows and films from around the world. We face the dual challenge of successfully launching an ever-growing multitude of titles, and doing so in a personalized manner for every individual member (both current and future). Our data-driven culture allows us to innovate to provide the best catalog offering for our members to maximize their satisfaction and drive acquisition.

The Content Analytics Data Science and Engineering (“DSE”) team is at the forefront of advancing metrics, analytic products, and engineering to improve future TV/Film selection and member outcomes - in close collaboration with business and content leaders, the team is working to revolutionize how we use data to inform and aid strategic business decisions in content prioritization, content portfolio optimization, and measurement. We drive considerable business impact through strong partnerships and relentless commitment to practical analytic innovation, application, and enablement.

While our approaches and impact are industry-leading, we are just scratching the surface given our complex, rapidly evolving industry and the scale of our business. In this role, you will own the strategy, roadmap, and implementation of a self-service analytics platform that will unlock non-technical end user’s ability to obtain and utilize data to inform decision making.

To achieve this potential, we are looking for a Senior Analytics Engineer who is collaborative and innovative with a strategic mindset, business focus, and deep engineering chops. This experienced individual will partner with other Analytics Engineers, Data Engineers, and our business partners within Content to enable direct access to the insights and information produced by the DSE team. Check out this blog post to get a better feel for what it’s like to be a Senior Analytics Engineer at Netflix.

What you will do:

Build and maintain trusting, working relationships with business partners in the Content Strategy, Consumer Insights, and Data Science and Engineering space, understanding the analytic needs of the domain and DSE’s role in fulfilling those needs
Partner with data & insights peers and content business partners to discover high impact opportunities to enable self-service analytics
Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items are delivered
Develop high-impact data layers, user interfaces and other tools to enable self-service analytics
Gather feedback and input on self-service implementations from end-users and peers and create a cycle of continuous improvement
Keep a close eye on usage of the self-service products and engage in activities (socialization, documentation, etc.) designed to increase usage
Collaborate cross-functionally with our data and insights partners to deliver robust solutions for the business.

Mix of skills you have:

You have exceptional communication and collaborative skills
You are experienced with building and maintaining semantic layers and self-service technologies (Looker, Power BI, Microstrategy, Tableau etc.) for non-technical end-user use
Extensive experience with product management concepts and execution
You have the ability to write complex SQL, ad-hoc data pipelines, and ETLs for self-use
Deep familiarity with dimensional modeling/data warehousing concepts
Familiarity with distributed data stores (S3, Presto, Hive, Spark)

You are:

A strong engineer with a proven track record of implementing self-service products for non-technical end-users
A strong communicator who can develop, own, and deepen strong relationships with a wide variety of stakeholders
Comfortable with ambiguity, and able to thrive with minimal oversight and process
A senior analytics professional with a proven track record of understanding the true needs of the business and how to use data skills and partnerships to fulfill those needs
Analytically-minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects
An individual who pays attention to the details and makes a conscious effort to understand causes instead of just the effects
Willing to accommodate Pacific Standard Time working hours with requirement to travel 1x/quarter.

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