Analytics Engineer 5 - Media Science Dse

Netflix Netflix · Big Tech · United States · Remote · Data & Insights

This role is for a Senior Analytics Engineer at Netflix, focusing on delivering metrics and data science to improve content media production and management workflows. The engineer will partner with product managers and business teams to design metrics, develop analytic tools, and perform analyses to drive efficiency and innovation in global media production strategy. The role involves collaborating with stakeholders, sourcing data, strengthening data models, and accelerating data analysis, with a strong emphasis on SQL, Python, and data visualization tools.

What you'd actually do

  1. Be a strategic partner for Content & Business Product PMs and Content Operations teams, developing and executing new measurement frameworks, and identifying analytic opportunities to assess the effectiveness and business impact of product solutions supporting media production workflows
  2. Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product leadership
  3. Establish and maintain strong partnerships with a variety of business, product, and data-oriented stakeholders, working directly with them to introduce and influence data-informed ways of working
  4. Present your analytical methodology and findings effectively to both technical and non-technical partners
  5. Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis

Skills

Required

  • data wrangling
  • data analysis
  • metric visualization
  • data storytelling
  • SQL
  • Python
  • Tableau
  • Plotly
  • Streamlit
  • communication
  • collaboration
  • business acumen
  • operating in ambiguity
  • fast-paced environment
  • ownership
  • minimal oversight
  • connecting dots
  • independent project drive
  • self-starter
  • learning mindset
  • curiosity
  • relationship building
  • influencing strategic decisions
  • taking risks
  • innovating in Content Production

Nice to have

  • designing observational causal inference studies
  • A/B tests

What the JD emphasized

  • 8+ years of demonstrated experience
  • An expert in the standard tech stack (i.e., SQL, Python)
  • Exceptional communication and collaboration skills coupled with strong business acumen
  • Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process
  • You connect the dots across stakeholder needs and independently drive projects forward
  • A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table
  • You are known for developing and deepening strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data
  • Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain