Analytics Engineer (L5) - Acquisition

Salary

$170,000 - $720,000

Location

USA - Remote

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix's Growth and Commerce Organization is responsible for the business relationship that consumers have with Netflix - including what plans we offer and at what price, how consumers pay for Netflix, and the flows that allow them to sign up, change plans, or cancel Netflix. Acquisition plays a crucial role in driving our next wave of growth by attracting new members and expanding our global reach.

We are looking for a seasoned Analytics Engineer to join our Acquisition team. This role will lead our analytical effort in the Acquisition space and leverage cutting-edge analytics to shape and inform our consumer acquisition strategy. The ideal candidate will excel at identifying and influencing forward-looking business priorities, forging strong partnerships across a variety of stakeholders, and serve as both a technical expert and a strategic thought partner to the cross-functional teams.

What you will do:

Lead the area of Acquisition analytics & insights, envisioning and implementing analytical roadmaps to inform key business decisions.
Identify, design and implement effective technical solutions, including data modeling, dashboarding, and A/B testing.
Build strong partnerships with cross-functional stakeholders in product, engineering, design, consumer insights, etc.
Collaborate with other data & insights colleagues to spearhead the development of new metrics, analytical toolings, analyses, and experimentation to drive clarity and velocity in scalable business decision-making.

What we are looking for:

Exceptional communication and collaboration skills coupled with strong business acumen.
Experience delivering actionable insights through data wrangling, data analysis, metric visualization, data storytelling, and A/B testing.
Expertise in standard analytical tech stack (e.g. SQL, Python) and experience with common data visualization platforms (e.g. Tableau, Plotly, Looker, etc.)
Experience with standard A/B testing techniques and statistical methods, with the ability to interpret and guide decision-making.
Comfortable operating in a fast-paced, dynamic environment; able to take initiatives and thrive with minimal oversight and process.
Demonstrated ability to connect the dots across business needs and independently drive projects forward.
Self-motivated, growth-oriented, and impact-driven, with a passion for continuous learning.

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