Senior Business Intelligence Analyst at GOODWILL INDUSTRIES OF TULSA INC – Tulsa, Oklahoma

Sr. Business Intelligence Analyst

Reports To: Chief Information Officer

Summary
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.

Key Responsibilities

• 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 andmaintainPower 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 Internationalperdata-sharing agreements.
• Promote analytics capabilities andprovideexpert guidance on data and reporting practices.
• Adhere to standard development and deployment processes in a collaborative environment.

Skills & Experience

• 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.
• Proficiencyin 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 toreverse-engineerand improve legacy processes.
• Willingness to support special projects andadditionalduties as assigned.

Education & Certifications

• Associate’sorBachelor’sdegree 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.