Operations Data Analyst

2 days ago

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Logo of Google Fiber

Google Fiber

Internet • Gigabit Internet • High Speed Internet

501 - 1000

Description

• At GFiber, we believe in the power of great internet that lets people do more, helps communities get stronger and makes amazing things possible. • GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. • The application window will be open until at least November 15th, 2024. • GFiber’s mission is to deliver abundant internet on networks that are always fast and always open with products that are easy to understand and clearly priced. • As a GFiber Operations Data Analyst, you'll bridge the gap between data and business impact. • You'll be a technical expert, comfortable with SQL and data visualization, while also possessing the business acumen to extract insights, craft compelling narratives, and drive data-driven decisions. • Your skill set equips you to address unique challenges while managing large data sets with precision and care. • You'll work in an environment that’s redefining the status quo in the Internet industry.

Requirements

• Bachelor's degree in statistics, analytics, computer science, engineering or equivalent practical experience. • 2 years of experience in data analysis, with a focus on data sets, visualizations, modeling, and key performance indicators (KPIs). • Domain expertise in data manipulation tools and techniques, including SQL, spreadsheets, and data visualization technologies. • Demonstrated experience in building, maintaining, and optimizing dashboards, as well as troubleshooting backend data pipelines. • Proficient in utilizing the Google Cloud Platform (GCP) suite of visualization and ETL (extract, transform, load) tools. (e.g. BigQuery, Looker). • Comprehensive collaborative skills to cultivating effective relationships across cross-functional teams. • Demonstrates solid problem-solving, data analysis, and critical thinking skills that foster inclusivity and collaboration. • Exhibits executive presence in order to collaborate effectively with senior leadership. • Exposure to diverse data sets, with a willingness to learn about the end-to-end processes of business operations. • Understanding of how systems and tools integrate with data and analytics, with the capacity to collaborate with engineering teams.

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