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.Key ResponsibilitiesPartner 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 BigQuery, 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. 
