Senior Business Data Analyst

Google Fiber Worldwide

SeniorRemoteFull-time $129,600 – $190,100 a year

About the role

This is a senior data analyst role at Google Fiber, working remotely and open worldwide, focused on building dashboards and reports for network and field operations teams. It suits someone experienced with SQL, data visualization, and stakeholder communication. The role sits within GFiber, the Alphabet company delivering Google Fiber and Webpass internet service. This is a full-time position, not an internship.

What you’ll do

  • Collaborate with Network Engineering, Operations, and Field Operations teams to build dashboards and reports
  • Dive into complex data to solve business problems
  • Present findings and recommendations to stakeholders
  • Own projects end-to-end, ensuring accuracy and timeliness of deliverables

What they’re looking for

  • Bachelor's degree in analytics, computer science, engineering, or equivalent experience
  • 5 years of experience working with data sets, visualizations, modeling, and dashboards
  • 3 years of experience using data-based modeling to present to stakeholders
  • 3 years of experience using SQL to turn raw data into actionable intelligence

Nice to have

  • Familiarity with Google Cloud Platform tools such as BigQuery and Looker
  • Experience with ticketing systems like ServiceNow and Salesforce, and network systems like Netcracker, Axiros, and Alepo
  • Experience collaborating across teams to deliver and prioritize projects
  • Exceptional communication skills presenting to technical and non-technical audiences

What’s on offer

  • US base salary range of $129,600-$190,100 plus bonus and benefits

Questions about this role

Is this role remote?

Yes, it's listed as remote and worldwide.

How much does it pay?

The US base salary range is $129,600-$190,100 plus bonus and benefits.

How many years of experience do I need?

At least 5 years working with data sets, visualizations, modeling, and dashboards, including 3 years with SQL.

Do I need a degree?

A bachelor's degree in analytics, computer science, engineering, or equivalent experience is required.

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