Data Analyst

Job Description

The Data Analyst is responsible for building and delivering scalable datasets, reports, and analytical solutions that enable data-driven decision-making across Brightspeed. This role partners closely with business stakeholders to understand business needs, translate them into actionable analytics, and deliver accurate, high-quality insights that support strategic and operational objectives.

Key Responsibilities

• Partner with business stakeholders to understand business objectives, define data requirements, and translate business questions into scalable analytical solutions.
• 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 IT, Data, Finance, and business teams 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.

Qualifications

• Bachelor's degree in Computer Science, Business Analytics, Engineering, Mathematics, Statistics, Information Systems, or a related field.
• Minimum of 5 years of experience developing scalable datasets, reporting solutions, and analytical insights in a business environment.
• Minimum of 3 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.

Skills & Competencies / Technical Skills

• Strong proficiency in SQL and Python, with experience using additional scripting or query languages as needed.
• Advanced experience working with Google BigQuery or comparable cloud-based analytical databases.
• Strong understanding of relational database design, data modeling, query optimization, and ETL/ELT concepts.
• Experience integrating data from multiple source systems into consolidated analytical datasets.
• Experience developing reports and dashboards using business intelligence tools.
• Familiarity with cloud data platforms and modern analytics architectures.

Business & Analytical Skills

• Strong analytical thinking with exceptional attention to detail and data accuracy.
• Intellectual curiosity to understand business problems and identify meaningful analytical solutions.
• Ability to navigate ambiguity and solve complex business problems using logical, data-driven approaches.
• Strong communication skills with the ability to translate technical findings into business-friendly insights for executive audiences.
• Excellent collaboration skills and ability to work effectively across technical and non-technical teams.
• Demonstrated ability to prioritize multiple projects and deliver high-quality work in a fast-paced environment.