Senior Analytics Engineer, Ads Supply & Decisioning
Netflix
Job Overview
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Job Description
About Netflix's Ads Data Science and Engineering Team
At Netflix, our mission is to entertain the world. We are building the next episode by merging creativity, intuition, and cutting-edge technology. In April 2022, Netflix announced a new lower-priced, ad-supported tier. The Ads Data Science and Engineering team is crucial in building the foundation for this new business, conducting analyses, developing analytic tools, and building predictive models and algorithms to enhance member choices and joy. This is an exciting opportunity to be a founding member in this new business area for Netflix.
The Senior Analytics Engineer, Ads Supply & Decisioning Role
As a Senior Analytics Engineer, Ads Supply & Decisioning, you will be instrumental in designing metrics, generating insights through deep dive analysis, and providing data-driven recommendations from rigorous product experiment evaluations. You will collaborate closely with partner teams to build efficient workflows, offer strategic recommendations, and drive success across end-to-end analytics initiatives in this pioneering 0-1 space.
Responsibilities
- Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests.
- Spearhead the creation of metrics that provide insight and help with decision-making.
- Develop high-impact dashboards and analyses to build visibility into the health of our ad platform, ad operations, and lead efforts to scale reporting through automation.
- Facilitate information self-service to business users through data pipelines and custom analytic tools.
Qualifications
- Expertise in SQL, programming skills (e.g., Python, Scala), and some exposure to ETL and data warehousing concepts.
- A senior analytics professional with a proven track record of data analysis, reporting, and visualization (e.g., Tableau, D3).
- A strong communicator with the ability to build meaningful stakeholder relationships.
- Enthusiastic about innovating in a fast-paced data and analytics space.
- Excited to learn about new fields, with the ability to be scrappy as needed.
- Comfortable with ambiguity; able to thrive with minimal oversight and process.
Key skills/competency
- SQL
- Python
- Data Analysis
- ETL
- Data Warehousing
- Tableau
- D3
- Stakeholder Management
- Product Experimentation
- Automation
How to Get Hired at Netflix
- Research Netflix's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, paying special attention to the 'Netflix Culture Deck'.
- Tailor your resume: Customize your resume to highlight expertise in analytics engineering, ad tech, data visualization, and your proficiency in SQL, Python, or Scala.
- Show impact with data: Quantify your achievements in data analysis, metric design, and insights generation, demonstrating how your work led to business outcomes.
- Prepare for technical interviews: Practice advanced SQL queries, data modeling, ETL concepts, and problem-solving with Python or Scala, showcasing your analytical rigor.
- Demonstrate cultural fit: Emphasize your comfort with ambiguity, enthusiasm for innovation, ability to be scrappy, and strong communication skills for stakeholder collaboration.
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