United States onlyAt GFiber, we believe in the power of great internet that lets people do more, helps communities get stronger and makes amazing things possible. We’re not just growing to build better internet experiences, we’re also building a welcoming place where people who want to make a difference can grow their careers.
GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our growing, inclusive team is expanding as we connect more cities and people.
The application window will be open until at least May 5, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.
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. We believe customers deserve a better internet experience and everything we do is focused on providing just that. On our team, you’ll work in an environment that’s redefining the status quo in the Internet industry. Within the Data Community team, you’ll do everything from data engineering, scripting, visuals, insights, data science, and more.
Role Description
As a Data Analyst for GFiber, you will be working with multiple stakeholders across the organization to provide quantitative support, define metrics, deliver insightful data and analysis, model business scenarios, and solve a wide range of business problems. To do so, you will be expected to create new pipelines from scratch, merging broad data sets together into a cohesive technical infrastructure. You will be responsible for engineering foundational table resources using SQL, then translating that data into reusable tools and/or strategic recommendations. The pipelines, metrics, tools, and analyses you develop will be used by our leaders to make strategic decisions and serve as a key input in decision-making.
In this role, you'll:
- Create foundational pipelines and data extractions with large data sets using SQL and other technologies demonstrating comfort with software-engineering-level best practices and approaches to data pipelines and management.
- Work with large, complex data sets to solve difficult analysis problems, assess the impact of initiatives, and create on-going tooling/resources to run the business.
- Collaborate with cross-functional partners to understand business context for solutions, analysis, and tooling needed.
- Communicate findings, recommendations, and metrics to your management, stakeholders, and non-technical audiences.
- Be the single point of contact for all data, analysis, or solutioning questions.
- Undertake specific tasks, bugs, and maintenance work. Additionally, own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.
At a minimum we'd like you to have:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in analytics, data science, and/or computer science engineering.
- Experience with SQL and writing queries from scratch,
- Experience using data to conduct analysis and create on-going tooling/resources to run the business.
It's preferred if you have:
- Experience in data engineering, architecture, pipeline management, and ETL.
- Experience with Google Cloud Platform (GCP), HTML, Python, and Statistical Analysis.
- Experience using data to identify opportunities for business improvement and defining/measuring the success of those initiatives.
- Ability to use written and verbal communication to build relationships with cross-functional partners and conduct presentations for stakeholders, including executive leadership.
- Ability to work on multiple projects simultaneously to meet deadlines.
The US base salary range for this full-time position is $106,000 - $155,000 + bonus + cash award + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google's Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC's "Know your rights: workplace discrimination is illegal" (PDF).
It's important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing our accommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.
