Netflix

Analytics Engineer - Data Management & Analytics

Netflix

Los Gatos, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to Netflix, the world's leading streaming entertainment service with over 200 million subscribers in more than 190 countries. We are seeking a highly motivated Analytics Engineer with a strong background in data management and analytics to join our dynamic team.As an Analytics Engineer at Netflix, you will play a crucial role in driving data-driven decision making by developing and maintaining our data infrastructure and analytics solutions. Your work will directly impact the success of our business and contribute to our goal of delivering the best entertainment experience to our global audience.We are looking for someone with a passion for data and the ability to thrive in a fast-paced, ever-changing environment. The ideal candidate will have experience in data engineering, data modeling, and data analysis, as well as a strong understanding of analytics tools and technologies.If you are a self-starter, a problem solver, and a team player who is ready to take on new challenges and make a significant impact at a rapidly growing company, then we want to hear from you. Join us in shaping the future of entertainment at Netflix.

  1. Develop and maintain data infrastructure and analytics solutions to support data-driven decision making.
  2. Collaborate with cross-functional teams to identify data needs and develop efficient data solutions.
  3. Design and implement data models to ensure accuracy, consistency, and reliability of data.
  4. Perform data analysis to provide insights and recommendations for business decisions.
  5. Monitor and troubleshoot data pipelines to ensure data quality and integrity.
  6. Stay updated on industry trends and best practices in data management and analytics.
  7. Work with large datasets and utilize various tools and technologies to extract and manipulate data.
  8. Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.
  9. Identify and implement process improvements to increase efficiency and effectiveness of data operations.
  10. Collaborate with team members to develop and maintain documentation for data processes and procedures.
  11. Proactively identify and resolve data issues and communicate them to relevant stakeholders.
  12. Participate in data governance initiatives to ensure data compliance and security.
  13. Continuously evaluate and optimize data systems and processes to meet business needs.
  14. Act as a resource and provide guidance to team members on data-related matters.
  15. Embrace a fast-paced, dynamic work environment and adapt to changing priorities and tasks.
Where is this job?
This job is located at Los Gatos, CA, USA
Job Qualifications
  • Strong Technical Background: An Analytics Engineer At Netflix Must Have A Strong Understanding Of Data Management And Analytics, With Proficiency In Programming Languages Such As Sql, Python, And R. They Should Also Have Experience Working With Database Systems And Data Warehouse Platforms.

  • Data Analysis Skills: The Ideal Candidate Should Have A Strong Foundation In Data Analysis And Be Able To Interpret Complex Data Sets To Identify Trends And Insights. They Should Also Have Experience With Data Visualization Tools Such As Tableau Or Power Bi.

  • Experience With Big Data Technologies: As Netflix Deals With A Massive Amount Of Data, It Is Essential For An Analytics Engineer To Have Experience With Big Data Technologies Such As Hadoop, Spark, And Kafka. This Will Enable Them To Handle Large Datasets Efficiently.

  • Familiarity With Data Governance And Security: With Sensitive User Data At Stake, An Analytics Engineer At Netflix Should Be Well-Versed In Data Governance And Security Practices. They Should Have A Thorough Understanding Of Data Privacy Laws And Be Able To Implement Security Measures To Protect User Data.

  • Collaborative Mindset: As Part Of A Larger Data Management And Analytics Team At Netflix, An Analytics Engineer Should Have Excellent Communication And Collaboration Skills. They Should Be Able To Work Effectively With Cross-Functional Teams And Communicate Complex Technical Concepts To Non-Technical Stakeholders.

Required Skills
  • Sql

  • Data Analysis

  • statistical analysis

  • Big Data

  • Data Modeling

  • ETL

  • Machine Learning

  • Data warehousing

  • Data Visualization

  • Data Mining

  • Predictive modeling

  • Data

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • flexibility

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

  • Decision-making

Compensation

According to JobzMall, the average salary range for a Analytics Engineer - Data Management & Analytics in Los Gatos, CA, USA is between $120,000 - $150,000 per year. This can vary depending on the specific company, experience, and education level of the individual.

Additional Information
Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedMay 30th, 2024
Apply BeforeJune 21st, 2025
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About Netflix

Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.

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