Data Analytics and AI Consultant (51159)

Key Responsibilities

• Design and implement data analytics to support client business needs.
• Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric.
• Optimize data integration workflows using Microsoft OneLake, Synapse Data Engineering, and Data Factory.
• Implement AI-driven automation, predictive modeling, and machine learning solutions.
• Ensure data accuracy, consistency, and reliability across cloud and on-premises environments.

Microsoft Fabric & Cloud Expertise

• Leverage Microsoft Fabric’s suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.
• Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.
• Guide clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights.
• Stay updated on Microsoft Fabric innovations, AI Copilot, and emerging data capabilities.

Client Engagement & Advisory

• Act as a trusted advisor to clients, understanding their business needs and recommending tailored data solutions.
• Provide best practices on data governance, compliance, security, and responsible AI adoption.
• Translate technical concepts into clear, actionable business insights for non-technical audiences.

Project Delivery & Execution

• Develop end-to-to analytics, ensuring timely and high-quality deliverables.
• Collaborate with cross-functional teams.
• Monitor project risks, troubleshoot technical challenges, and proactively mitigate roadblocks.
• Ensure documentation, training, and knowledge transfer for sustainable analytics adoption.