The Analytics Engineer role at Google focuses on driving data engineering workstreams and delivering advanced analytics solutions. This position requires collaboration with team members to create custom web applications and implement AI/ML integrations. The engineer will engage with stakeholders to understand business needs and develop innovative solutions. The role is based in Austin, TX, and may allow for a hybrid work schedule.

• Bachelor’s degree in Computer Science, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Manufacturing Engineer-related occupation.
• Alternatively, a Master’s degree in Computer Science, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering or a related field, and 3 years of experience in the job offered or in a Manufacturing Engineer-related occupation.
• 3 years of experience in web application development across the full stack, including client and server side code, and interactive visualizations, using technologies such as Angular, React, or .Net.
• Experience in the development of AI/ML analytics and integration into a reporting stack.
• Experience in dashboard design and creation using tools such as PowerBi and Tableau.
• Experience in designing and developing ETL pipelines for enterprise data applications using tools such as Informatica, Microsoft SSIS, or Databricks.
• Experience delivering predictive analytics and forecasting using technologies such as scikit, TensorFlow, and PyTorch.

• Own data engineering workstreams, including data acquisition, data pipelining, data quality, data prep, and data warehousing.
• Collaborate with team members in delivering custom web applications.
• Design and implement advanced analytics, AI/ML integrations, and rich data visualizations.
• Consistently engage stakeholders and partner teams to gain a deep understanding of business needs and develop innovative solutions to challenging business problems.
• Incubate, prototype, and iterate to quickly bring new ideas to production.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.