Data Analyst at GFiber

Responsibilities

• Create foundational pipelines and data extractions with large data sets using SQL and other GCP 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 to become the single point of contact for all financial data engineering questions.
• Undertake specific tasks, bugs, and maintenance work.
• Own complex projects, proving mastery through accuracy, timeliness, and volume of work, with minimal guidance.

Requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in analytics, data science, and/or computer science engineering.
• 5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and ETL.
• Expertise using Google Cloud Platform (GCP) tools.

Qualifications

• Nice to have experience in HTML, Python, or other coding languages.
• 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 engage with PMO teams to prioritize, provide LOEs, manage bug queues and bandwidth.

Pay

The US base salary range for this full-time position is between $105,600 - $154,900 + bonus + cash award + benefits.