Senior Data Analyst

The Senior Data Analyst is responsible for building and delivering scalable datasets of complex data, reports, and analytical solutions that enable data-driven decision-making across the Finance PMO, Process Excellence & Business Optimization, Internal Audit & Controls groups within Brightspeed. This role partners closely with finance business stakeholders within general finance functions and billing system stakeholders to understand business needs, translate them into actionable analytics, and deliver accurate, high-quality insights that support strategic and operational objectives.

• Partner with relevant stakeholders to understand business objectives, define data requirements, and translate business questions into scalable analytical solutions.
• Specific focus is Financial, Statistical and Billing System data.
• Extract, integrate, validate, and analyze data from multiple internal and external sources to create trusted datasets for reporting and decision-making.
• Develop, maintain, and optimize SQL queries, data pipelines, and analytical models using Big Query, Python, and other data technologies.
• Design, build, and maintain recurring and ad hoc reports, dashboards, and analytical outputs that provide meaningful business insights.
• Validate data accuracy and integrity by reconciling results across systems, identifying discrepancies, and partnering with stakeholders to resolve data quality issues.
• Analyze trends, patterns, and anomalies, presenting findings through clear visualizations and executive-ready insights that support informed decision-making.
• Support cross-functional initiatives involving data engineering, analytics, reporting, and data warehouse or data mart migrations.
• Contribute to the development and maintenance of scalable datasets, feature stores, and reusable analytical assets that improve reporting efficiency.
• Collaborate effectively across multiple functional areas to deliver high-quality analytical solutions aligned with organizational priorities.
• Stay current with evolving data technologies and continuously identify opportunities to improve data processes, reporting capabilities, and analytical solutions.
• May perform other duties as assigned.

The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties, and skills required.

At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South.

Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience.

Be a part of the team that will make this vision a reality….designing and building a world class fiber network and creating a customer experience second to none.

• Bachelor's degree in Computer Science, Accounting/Finance/Business, Business Analytics, Mathematics, Statistics, Information Systems, or a related field.
• Minimum of 7 years of experience developing scalable datasets, reporting solutions, and analytical insights in a business environment.
• Minimum of 5 years of experience working with cloud-based data platforms, preferably Google Cloud Platform (GCP).
• Experience working with large-scale data warehouses, data lakes, or lakehouse environments.
• Professional certifications in Data Analytics, Cloud Technologies, or related disciplines are preferred.

• Strong proficiency in SQL and Python, with experience using additional scripting or query languages as needed.
• Dedicated to data quality checks and strong adherence to report testing processes.
• Advanced experience working with Google Big Query or comparable cloud-based analytical databases.
• Strong understanding of relational database design, data modeling, query optimization, APIs and ETL/ELT concepts.
• Experience integrating data from multiple source systems into consolidated analytical datasets.
• Experience developing reports and dashboards using business intelligence tools.
• Advanced familiarity with cloud data platforms and modern analytics architectures.
• Familiarity and hands‑on experience with utilizing AI processes to…