Business Intelligence Developer

Role Overview

• Collaborate closely to the business and technical teams.
• Design, develop, test, and deploy custom apps using Power Apps (Canvas and Model-Driven).
• Integrate Power Apps with other Microsoft services such as SharePoint, Dynamics 365, Teams, Power BI, and external data sources using Power Automate and connectors.
• Be partnered with users, product owners & data engineers to design, develop and maintain business intelligence solutions (Applications, dashboard & interactive reporting tools on key business measures).
• Design and development of Canvas App, and Model-Driven Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model.
• Build custom connectors and leverage Dataverse (CDS) for data modelling and management.
• Work directly with business stakeholders and translate business data needs into technical requirements, design, and implementation thru data visualization.
• Develop, Test and Maintain BI Dashboard to high standards of quality and performance using the company approved BI Tools (e.g. Power BI, Qlikview, QlikSense, Tableau).
• Utilize UI/UX best practices to craft visualizations that create a single, aligned version of truth, present clear information about business results & call for action.
• Responsible on training junior members of the team and assist on setting up and/or implementing best practices to ensure the quality and consistency of the solutions.
• Provide and maintain user accesses, report connections and troubleshooting by navigating to the management consoles or workspaces.

Requirements

• Bachelor’s degree on Computer Science, Mathematics, Statistics, and any relevant field with Business Intelligence.
• At least 5+ years of hands-on experiences on developing BI solutions preferably with Power BI, Qlikview, or QlikSense.
• Experience with Power Automate cloud flows, desktop flows, business process flows, and process advisor
• Experienced with BI technologies (e.g. Qlikview, QlikSense, Power BI)
• Pertinent experience in Data Modelling and Data Model normalization
• Solid understanding with the ETL methodology.
• Strong knowledge/proficiency of relational databases (MS SQL, Oracle) and Business Intelligence area.
• Understanding of design and development tools, SDLC methodologies and techniques, preferred
• Curiosity and analytical mindset – ability to ask the right questions and propose solutions.
• With strong evidence of being able to transform data into actionable insights.
• Experience on working in agile (SCRUM) is an advantage.

Tech Stack

• Cloud
• ETL
• Oracle
• SDLC
• SQL
• Tableau

Benefits

• Flexible work arrangements
• Professional development