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Analytics Engineer 5

Netflix
Posted 3 months ago, valid for 12 days
Location

Los Angeles, CA 90053, US

Salary

$330,000 - $566,000 per year

Contract type

Full Time

Retirement Plan
Paid Time Off
Flexible Spending Account

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Sonic Summary

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  • Netflix is seeking a Senior Analytics Engineer with 8+ years of experience in data wrangling, analysis, and visualization to enhance content media operations.
  • The role involves collaborating with product managers and business teams to develop metrics, analytic tools, and presentations for both technical and non-technical stakeholders.
  • Candidates should be proficient in SQL and Python, with experience in data visualization tools like Tableau or Plotly, and possess strong communication skills.
  • The compensation for this position ranges from $330,000.00 to $566,000.00, with the option to allocate compensation between salary and stock options.
  • Netflix offers comprehensive benefits, including health plans, a 401(k) retirement plan, and flexible paid time off for employees.

The Media Science DSE team delivers metrics & data science that help scale and innovate content media production and management workflows, driving time and cost efficiencies and empowering creative teams to bring their story to life on the screen.

We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with product managers, business teams, and other Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses that power content media operations at scale. Your analytical insights will help steer global media production strategy, identify innovations that drive scale economies and greater creative storytelling across our diverse content slate, and support the delivery of new content types on Netflix.

As a Senior Analytics Engineer in this space, you will:

  • 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

  • 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 

  • 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

  • Present your analytical methodology and findings effectively to both technical and non-technical partners

  • Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis

About you

  • 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders

  • An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Tableau, Plotly, Streamlit)

  • 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

  • Netflix culture resonates with you

  • Experience designing observational causal inference studies and A/B tests, driving strategic decision-making through its findings is a plus




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