Senior Business Intelligence Analyst

Sr. Business Intelligence Analyst

Reports To :
Chief Information Officer

The Sr. Business Intelligence Analyst is responsible for managing, validating, and reporting all organizational data for Goodwill Industries of Tulsa, including POS, production, donations, accounting, and mission-related information.

• Understand business data, recognize anomalies, and proactively investigate irregularities.
• Partner with vendors and internal stakeholders to correct and prevent data issues.
• Develop and manage data ingestion processes using APIs, automated FTP, and cloud data stores.
• Mentor team members on data structures, definitions, and best practices.
• Build and maintain Power BI, Excel, and Tableau reports and dashboards.
• Collaborate across teams to define meaningful metrics and reporting requirements.
• Troubleshoot data issues and provide user training on reports.
• Ensure reporting accuracy and alignment with business requirements.
• Support cross-functional problem-solving and data-related initiatives.
• Submit required analyses and reports to Goodwill Industries International per data-sharing agreements.
• Promote analytics capabilities and provide expert guidance on data and reporting practices.
• Adhere to standard development and deployment processes in a collaborative environment.

• Experience designing and managing SQL Server or similar databases.
• Strong T‑SQL skills, including stored procedures, views, functions, and advanced queries.
• Experience with ETL processes and tools such as SSIS.
• Proficiency in BI and data warehousing, including operational data stores and datamarts.
• Skilled in presenting insights using Microsoft Power BI.
• Ability to design normalized data structures and appropriately de‑normalize when needed.
• Strong communication, troubleshooting, and analytical skills.
• Ability to manage multiple deliverables and work independently or collaboratively.
• Experience evaluating and interpreting data with business stakeholders.
• Ability to reverse‑engineer and improve legacy processes.
• Willingness to support special projects and additional duties as assigned.

• Associate’s or Bachelor’s degree in IT, Computer Science, MIS, or related field, or equivalent experience.
• Microsoft Azure Data Engineer Associate or similar certification preferred.
• Microsoft Power BI Data Analyst Associate or similar certification preferred.