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Join our dynamic Data Warehouse team as a Junior Business Analytic Application Developer. In this hands-on role, you’ll play a key part in converting analytic applications from QlikView to Power BI, supporting SAP BI, and managing analytics environments. You’ll work closely with stakeholders, troubleshoot support tickets, and evolve our BI infrastructure—all while gaining exposure to predictive analytics and innovative Microsoft technologies.
Job Responsibility:
Convert existing QlikView dashboards into interactive Power BI dashboards
Build Power BI data models and develop clean, insightful dashboards
Apply DAX expressions and modeling best practices to ensure performance and clarity
Manage daily user administration across SAP BI 4.3, QlikView 12.5, Qlik Sense and Power BI environments
Research, triage, and resolve helpdesk tickets across all four analytics platforms
Provide Tier-2 support for production issues and assist in environment maintenance
Write and optimize SQL queries in Oracle and SQL Server to support dashboards and data access
Collaborate with team members to translate business needs into technical requirements for BI
Maintain quality documentation for code, processes, and troubleshooting steps
Assist in day-to-day support tasks (e.g., refreshing dashboards, addressing data discrepancies, adding features)
Participate in the resolution of production issues, including dashboard refresh challenges or server incidents (e.g., Qlik Sense service restarts)
Provide users with hands-on orientation for newly developed dashboards
Share progress and maintain project timelines using tools like ClickUp
Collaborate with teammates to improve dashboard performance and user experience
Requirements:
Bachelor’s degree in Computer Science, Information Systems, or related technical discipline
Proficiency in Power BI—dashboards, data modeling, DAX, and general report development
Experience using SAP BI 4.3, QlikView 12.5, Qlik Sense and Power BI (user admin, ticket support, troubleshooting)—or strong willingness to learn
Solid SQL skills in Oracle and/or SQL Server
Excellent analytical and communication skills
Detail-oriented with ability to multitask and meet deadlines
Nice to have:
Predictive Analytics: Foundational understanding or hands-on experience building predictive models
Python / Microsoft AutoML: Exposure to scripting for data processing, model development, or integrating AutoML workflows
Microsoft Fabric: Familiarity with data modeling or analytics within the Fabric ecosystem
Exposure to predictive analytics or data science workflows
Basic Python scripting experience or familiarity with Microsoft AutoML
Hands-on experience or training with Microsoft Fabric
Comfortable working in Agile or collaborative environments and using tools like ClickUp
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