Analytics Engineer 4 – Ads
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🏈 Anywhere in North America
Visit company websiteSalary
💰 $150,000 - $750,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftBigQueryETLPythonSQL
About the role
- Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis
- Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business
- Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting
- Analyze and interpret data to understand and improve the efficiency of the ads marketplace, providing recommendations to optimize ad delivery, performance, and revenue
- Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift
- Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking
- Proactively identify gaps and opportunities for innovation in analytics engineering and drive initiatives to address them
- Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility
- Translate complex data insights and technical concepts into clear, actionable recommendations for technical and non-technical stakeholders
Requirements
- A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)
- 3+ years of experience in data engineering, data science, analytics engineering, or a similar data field
- Proficiency in SQL and at least one programming language (Python preferred)
- Experience with modern data warehousing (e.g., Redshift, BigQuery, Snowflake)
- Familiarity with data modeling, ETL frameworks, and analytics tools
- Strong communication skills and ability to translate business needs into technical requirements
- Comfortable with ambiguity; able to thrive with minimal oversight and process
- Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus
Benefits
- We do not have bonuses
- You choose each year how much of your compensation you want in salary versus stock options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythondata modelingETL frameworksdata analysisA/B testingmachine learningdata visualizationdashboard developmentanalytics engineering
Soft skills
strong communicationproblem-solvingadaptabilityinnovationstakeholder engagementanalytical thinkingcollaborationtranslating technical conceptsproactive identification of opportunitiesworking with ambiguity