Goodwill Tulsa
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Senior Business Intelligence Analyst
Full-Time Professionals Tulsa, OK, US 8 days ago Requisition ID: 1285 Sr. Business Intelligence Analyst Reports To:Chief Information Officer
Summary The Sr. Business Intelligence Analystis responsible formanaging,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 data marts . 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 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.
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Full-Time Professionals Tulsa, OK, US 8 days ago Requisition ID: 1285 Sr. Business Intelligence Analyst Reports To:Chief Information Officer
Summary The Sr. Business Intelligence Analystis responsible formanaging,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 data marts . 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 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.
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