Ability to translate analysis results into business recommendations and business questions into an analysis framework.

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Responsibilities

• Write Extract, Transform and Load (ETL) to automate routine data collection and reporting processes using a variety of large-scale distributed data systems.
  
• Write and review end-user documentation and technical documents, including requirements and design documents for existing and future data systems, data standards and policies.
  
• Design, develop, and optimize data warehouses and reporting.
  
• Manage a team of Data Engineers and Business Intelligence Engineers, and work closely with Software Engineering teams to design and acquire log-level data.
• Create and optimize dashboards, and productionalize statistical models to present accurate findings to stakeholders.