תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAbout the Company
We're a fast-growing technology company that combines business insight with innovation. At Nogamy, we help organizations unlock the power of Data, AI & Digital transformation
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Responsibilities
• Analyze business requirements and translate them into detailed BI specifications
• Map target-to-source relationships and work closely with development teams to ensure accurate implementation
• Perform data analysis, generate insights, and support data-driven decision making
• Lead and support cross-functional processes involving multiple stakeholders
• Participate in BI solution development, including testing and validation
• Continuously improve existing BI processes and reports
• Collaborate with teams using SQL, Data Warehouses, and BI tools such as Tableau, Qlik, and PowerBI
• Prepare and present clear business and functional documentation
Requirements:
• Bachelor's degree in Industrial Engineering & Management, Information Systems, Computer Science, or another relevant technology-related field
• At least 3 years of experience as a BI Systems Analyst or in a combined BI Analysis & Development role within a large enterprise or financial organization
• Proven experience in writing Source-to-Target (S2T) mapping documents, including detailed source-to-target data mappings, transformation logic, business rules, and data validation requirements
• Proven experience working with Data Warehouses (DWH) and ETL processes, including data model design, staging/model/reporting layers, and a solid understanding of data loading processes
• Strong proficiency in SQL, including writing complex queries and performing basic query performance optimization, working with SQL Server or cloud-based data warehouses in an Azure environment
• Experience designing and specifying BI dashboards and reports using at least one of the following tools: Tableau, Cognos, or PowerBI
• Hands-on experience working with Microsoft Azure technologies, such as Azure SQL, Azure Data Lake, and Databricks, including defining and analyzing data processes on these platforms
• Strong stakeholder management skills, with the ability to lead tasks end-to-end, demonstrate high ownership, and apply strong analytical and business thinking
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