Data Analysis PowerBI SQL Communications
- Complete ownership and project understanding. - Faster bug fixing and troubleshooting. - Seamless knowledge transfer and collaboration. - Optimal division of work and resource allocation. - Work closely with business analysts, users, and stakeholders to understand and document business requirements, then translate them into functional BI solutions. - Design, develop, and maintain interactive dashboards, KPI scorecards, and visual reports in - -Power BI to deliver clear, actionable insights. - Build, optimize, and maintain robust data models and seamless data pipelines, ensuring high performance and scalability. - Integrate, transform, and connect multiple data sources for reporting, applying best practices in modeling, DAX, and visualization. - Implement and manage data security, including row-level security, and ensure compliance with organizational standards. - Collaborate with cross-functional IT teams (systems engineers, DBAs, QA) to design, test, deploy, and maintain BI tools and solutions. - Monitor and troubleshoot production issues related to performance, access, and data accuracy, ensuring timely resolution. - Manage the complete software development lifecycle—from design and technical specifications to deployment, testing, and maintenance. - Continuously improve and enhance existing BI systems based on evolving business needs and data sources. - Produce clear technical documentation, including design notes, data model descriptions, and reporting methodology, to support ongoing knowledge sharing.
- Bachelor ‘s degree in computer science, statistics, economics, or related field. - Have 4+ years’ experience in Business Intelligent - Database and data warehousing concepts. - Experience in Power BI, SSAS, SSRS, and SSIS components of the Microsoft Business Intelligence - Stackม Azure cloud (Azure Synapse, Databrick) - Well-versed with data warehousing and BI development life cycle. - Strong SQL knowledge and working experience in SQL - Server, Oracle, etc. Data modeling and semantic model design knowledge. - BI tools knowledge like Power BI Desktop, Power BI Report Builder, Tableau (optional), etc. - Power BI external tool knowledge: DAX studio, ALM toolkit, Tabular editor, etc. - Orchestration tools: Power Automate, UC4 (optional) - Programming knowledge like Power-shell, shell scripting (optional), etc. - General idea of how Microsoft products work: SSMS, SharePoint, Azure DevOps, etc. - Strong English communication.
- Benefits will be shared in details for successful candidates
- Extremely good communication skills are necessary to effectively explain the requirements between both internal teams and client teams. - Exceptional analytical thinking skills for converting data into illuminating reports and reports. BS in computer science or information system along with work experience in a related field knowledge of data warehousing, data gateway, and data preparation projects - Working knowledge of Power BI, SSAS, SSRS, and SSIS components of the Microsoft Business Intelligence Stack - Articulating, representing, and analyzing solutions with the team while documenting, creating, and modeling them - Familiarity with the tools and technologies used by the Microsoft SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX. - Knowledge of executing DAX queries on the Power BI desktop - Comprehensive understanding of data modeling, administration, and visualization - Capacity to perform in an atmosphere where agility and continual development are prioritized - Detailed knowledge and understanding of database management systems, OLAP, and the ETL (Extract, Transform, Load) framework - Awareness of BI technologies (e.g., Microsoft Power BI, Oracle BI) - Expertise of SQL queries, SSRS, and SQL Server Integration Services (SSIS).