Analytics Engineer (L5) - Consumer Insights DSE

4 Months ago • All levels • Data Analyst • $170,000 PA - $720,000 PA

Job Summary

Job Description

As an Analytics Engineer (L5) at Netflix's Consumer Insights DSE, you'll develop and maintain scalable data pipelines for survey, social, and behavioral data. You'll partner with engineers, data scientists, and researchers to build data products, conduct statistically sound analyses, create intuitive dashboards, and develop data-driven stories to inform key business decisions. Responsibilities include managing large datasets, collaborating on analyses, improving existing tools, and communicating insights effectively to both technical and non-technical audiences. The role requires proficiency in SQL, Python, and data pipeline engineering, along with a passion for using data to understand consumer needs and perspectives.
Must have:
  • Highly fluent in SQL
  • Proficient in Python
  • Experienced in data pipeline engineering
  • Excellent communication skills
  • Passion for data-driven insights
Good to have:
  • Familiarity with Scala
  • Experience with 3rd party APIs
  • Experience with survey or social data
Perks:
  • Comprehensive benefits including Health Plans, Mental Health support, 401(k) Retirement Plan, Stock Option Program, Disability Programs, and Paid Time Off

Job Details

Netflix is one of the world's leading entertainment services, with 283 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.

Consumer Insights DSE is at the forefront of insights innovation. Our team leverages technical expertise in applied data science, engineering, and solutions development to support a high-impact team of 90+ quantitative and qualitative researchers across the globe. We enable cutting-edge research designed to help answer Netflix’s most complex business challenges through consumer-driven analytics.

As an Analytics Engineer, you will develop and maintain data pipelines, tooling, and visualizations that make insights about our consumers widely available across the company.  You’ll build these data products in partnership with an interdisciplinary team of engineers, data scientists, researchers and analysts. 

Visit our Research page to learn about what it’s like to work on Analytics at Netflix.

In this role, you will:

  • Develop and maintain scalable data pipelines to manage and transform large amounts of survey, social and behavioral data that make consumer insights widely available across the company

  • Cultivate strong partnerships with cross-functional stakeholders

  • Bring vision to a developing space, identifying the root question(s) to solve for, and how to unearth insights that will inform key business decisions.

  • Conduct actionable, statistically-sound analyses and research to help shape our understanding of how our consumers and their experience with Netflix.

  • Identify, compute, and validate the appropriate data sources and metrics to shape strategy or measure success in a business area

  • Create highly intuitive, visual dashboards with a focus on high business impact.

  • Take ownership of existing dashboards and data tools with an eye for improving those resources to facilitate self-service analytics.

  • Collaborate with Researchers, Engineers and Data Scientists to conduct analyses and apply statistics to answer specific day-to-day questions or support larger initiatives.    

  • Develop data-driven stories to answer some of the toughest questions in entertainment through data visualization and the summarizing of insights in verbal and written form.

We are looking for:

  • Highly fluent in SQL for working with big data

  • Proficient with scripting languages such as Python; familiarity with Scala is a plus

  • Experienced in engineering data pipelines and orchestrating workflows

  • Passion for exploring and improving technical datasets and logging

  • Familiarity with software engineering best practices (e.g. source control, code reviews, unit testing)

  • Passion for using data to accurately represent the needs and perspectives of our consumers

  • Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise 

  • Comfort with ambiguity; ability to thrive with minimal oversight and process

  • Embodies the while bringing a new perspective to continue improving our culture

  • Experience working with 3rd party APIs for data ingestion is a plus

  • Experience working with or interest in survey data and/or social data is a plus


 

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits .

Netflix is a unique culture and environment.  Learn more

is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

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