GOODWILL INDUSTRIES OF TULSA INC
Senior Business Intelligence Analyst
GOODWILL INDUSTRIES OF TULSA INC, Tulsa, Oklahoma, United States, 74145
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 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.
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.
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.
Education & Certifications
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.
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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 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.
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.
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.
Education & Certifications
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.
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