Senior Analytics Engineer
Velir
AirflowApacheBigQueryCloud
Analytics Engineer, Consumer Insights
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $720,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonScalaSQL
About the role
- 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
Requirements
- 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
- 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
Benefits
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonScaladata pipelinesdata visualizationstatistical analysisdata ingestiondata metricsdata storytellingself-service analytics
Soft skills
communicationstakeholder relationshipscollaborationproblem-solvingadaptabilityownershipcreativityanalytical thinkingpassion for datacomfort with ambiguity
