Analytics Engineer 5

When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them with evidence – Artwork, Trailers, Synopses – that authentically represent each title and resonate with the member is essential to this effort.

Beyond connecting global stories with existing audiences, we also aim to reach new subscribers and increase engagement through innovative marketing campaigns. By crafting compelling and targeted marketing strategies, we strive to capture the attention of potential members and convert their interest into subscriptions. Additionally, we focus on increasing conversation and excitement about Netflix and our content, creating buzz and anticipation that encourages both current and prospective members to explore and engage with our diverse offerings.

The Promotional Media AI for Member Systems team is at the forefront of designing and advancing state-of-the-art ML recommendation algorithms related to the "life of an asset" — spanning on-service promotional assets like artwork, synopses, and clips, as well as off-service marketing campaigns. We are responsible for empowering our business partners across Promotional Media and Marketing to understand, generate, and optimize these assets to provide a stellar member experience and drive subscriber growth.

We are looking for an experienced Analytics Engineer to join our growing team. In this role, you will design and develop analytic tools and systems to monitor the adoption and accountability of our algos across both Promotional Media and Marketing workflows. You will partner with a talented cross-functional team of ML engineers, data scientists, product managers, and domain experts to shape the future of promotional asset recommendation and generation, as well as marketing campaign performance, at Netflix.

Responsibilities

• Act as a strategic partner for stakeholders and cross-functional collaborators to identify analytic opportunities and enhance business strategies with automated data solutions

• Drive the direction and execution of your work, which spans from developing scrappy code to designing high-visibility dashboards and analyses

• Translate ambiguous creative and quality requirements into measurable objectives and evaluation frameworks

• Build and maintain observability for our automated pipelines, tracking SLA adherence, performance drift, and other key health signals to confirm our systems are performing as intended

• Partner closely with machine learning engineers and scientists to improve our asset creation and recommendation models, and accelerate the productization of data insights

• Share your innovation and collaborate with the broader analytics community to strengthen analytics enablement

• Become a knowledgeable practitioner/expert in our space, both as the go-to person regarding tooling and methodologies, and as a liaison with the stakeholders, understanding their business needs and how to fulfill them 

About you

• Proven track record of designing and developing scalable analytic tools and systems

• High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Plotly Dash, Tableau)

• Familiar with the fundamentals of Statistical Inference and Data Analysis, as well as data engineering best practices

• 5+ years of relevant experience in building data products powered by big data

• Experienced in orchestrating cross-functional stakeholders without direct authority, and leveraging analytics to steer business decisions

• Exceptional communication and collaboration skills coupled with strong business acumen

• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

• Netflix culture resonates with you

• Bonus points if experienced with pipelines and visualizations involving media files (images and video)