Data Analytics Manager

As a Data Analytics Manager specializing in the Front End Power Platform, Power Pages, Data-Driven Apps, and Visualization, you will play a crucial role in designing and developing business applications and dashboards. Your primary responsibility will be to create user-friendly interfaces and actionable insights through the use of Microsoft Power Platform tools such as Power Apps, Power BI, Power Automate, and integrating enterprise-grade data models and backend services. Your expertise in UI/UX creation, data modeling, and backend integration will be key in translating raw business requirements into scalable, interactive, and intelligent user experiences. Responsibilities: - Design and develop Power Apps (Power Pages, Canvas or Model-Driven) to create user-friendly interfaces. - Build Power BI dashboards with real-time and historical data views for actionable insights. - Architect robust data models using Dataverse, OneLake, or Azure Data Lake (ADLS Gen2). - Automate workflows and business logic using Power Automate and Power Fx. - Integrate with backend services and APIs using REST, Azure Functions, or JavaScript connectors. - Optimize data transformation and logic using DAX, SQL, and M language. - Apply best practices for deployment and lifecycle management using GitHub or Azure DevOps. - Hands-on experience in Javascript, HTML, CSS, and Liquid Coding. - Experience in Developing Applications from scratch with leading the development. Qualifications: Required Skills & Experience: - 4-6 years of hands-on experience with Power Platform (Power Apps, Power BI, Power Automate). - Strong data modeling experience using Dataverse, OneLake, or Azure Storage. - Proficiency in DAX, Power Fx, M, and SQL for data transformation and logic. - Demonstrated experience in designing and deploying full-stack Power Platform solutions. - Working knowledge of API integration and automation tools in the Microsoft ecosystem. Additional Preferred Skills: - Experience working with Python or R for data science or machine learning scenarios. - Familiarity with Azure AI Studio, Azure ML, or prebuilt ML APIs for forecasting, anomaly detection, or calculations. - Ability to embed or integrate AI models into apps or dashboards for advanced capabilities. - Experience with custom Power BI visuals using Chart.js, D3.js, or the Power BI Custom Visual SDK. Education: - Bachelors or Masters in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). Join us to: - Build modern business apps with Microsoft's low-code and pro-code stack. - Collaborate in a forward-thinking, cross-functional team that values innovation and impact. - Take ownership of end-to-end solutions with autonomy to experiment, deliver, and scale.,