26 days old

Manufacturing Data Analyst, Technical Infrastructure - Google

Sunnyvale, California

Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.

As a Manufacturing Data Analyst, you will be part of the Technical Operations team responsible for setting up and managing Google’s Data Center supply chain. You'll ensure stable and scalable data feeds from your manufacturing partners, and transform that data into actionable reporting and insights for the supply chain. You will guide your manufacturing partners through the onboarding process, from providing clear specifications to monitoring their data to resolving emerging issues. You will contribute a unique perspective to larger projects that improve cross-functional Supply Chain processes.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

    • Own manufacturing partner adoption of Google data standards. Provide clear documentation of requirements and standards for partners. Drive partner onboarding and improvements for new and existing data feeds.
    • Develop sustainable scripts and applications to perform data mining and reporting, creating actionable visualizations for decision-making.
    • Ensure data integrity and scalability through enforcement of data standards, data validation, and driving issues to closure. Proactively prevent issues and alert support teams when issues do occur.
    • Design new data tools and improve existing tools by partnering with software engineers. Clarify need and use case, provide requirements and acceptance criteria, test tools before implementation.
    • Improve cross-functional Supply Chain processes by contributing a unique perspective to larger projects.


At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form .

Requirements

Minimum Qualifications

    • Bachelor's degree in STEM, related field or equivalent practical experience.
    • 4 years of experience in manufacturing, supply chain, operations, or related field.
    • Experience managing projects from different companies or organizations.
    • Experience creating data-based reporting and visualizations and using SQL, R, or related scripting language.


Preferred Qualifications

  • Experience writing User Guides and Business Requirements documents.
  • Experience in quality, process control, or gauge R&R techniques.
  • Experience with data ETL tools and workflows.
  • Python knowledge such as Pandas, and data visualization libraries and tools.
  • Knowledge of relational and non-relational databases, database systems diagramming and dependency identification.

Categories

Posted: 2020-03-13 Expires: 2020-05-12

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Manufacturing Data Analyst, Technical Infrastructure - Google

Google
Sunnyvale, California

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