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About the role
As a Senior Consultant in Data Analytics & AI, your role involves designing and implementing cutting-edge analytics and AI solutions to help clients maximize the potential of their data. You will be expected to lead data initiatives, optimize data pipelines, and develop AI-driven solutions that improve business decision-making and operational efficiency. Key Responsibilities: - Design and implement data analytics tailored to meet client business needs. - Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric. - Optimize data integration workflows utilizing 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. Your expertise in Microsoft Fabric & Cloud will be crucial in: - Leveraging Microsoft Fabrics suite of tools such as Data Warehouse, Data Factory, Power BI, and Lakehouse architecture. - Optimizing data pipelines and analytics workflows for performance, cost efficiency, and scalability. - Guiding clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights. - Staying abreast of Microsoft Fabric innovations, AI Copilot, and emerging data capabilities. In terms of Client Engagement & Advisory, you will: - 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. For Project Delivery & Execution, your responsibilities will include: - Developing end-to-end analytics solutions, ensuring timely and high-quality deliverables. - Collaborating with cross-functional teams. - Monitoring project risks, troubleshooting technical challenges, and proactively mitigating roadblocks. - Ensuring documentation, training, and knowledge transfer for sustainable analytics adoption. Qualifications & Experience: - Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related field. - 3+ years of experience in data analytics, AI, or cloud-based data engineering, with at least 2 years in a consulting role. - Hands-on experience with Microsoft Fabric, including Synapse Analytics, Data Factory, OneLake, and Power BI is ideal. - Strong proficiency in SQL, Python, or R for data manipulation and AI development. - Experience with Azure services (Data Lake, Azure ML, Cognitive Services, Databricks, or Power Automate). - Proven ability to design analytics solutions, optimize data pipelines, and drive business impact. - Excellent problem-solving, communication, and stakeholder management skills. Additional Qualifications: - Possession of Microsoft Fabric or Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer). - Experience with AI-powered analytics, NLP, and large-scale machine learning model deployment. - Knowledge of data governance, security best practices, and compliance regulations. As a Senior Consultant in Data Analytics & AI, your role involves designing and implementing cutting-edge analytics and AI solutions to help clients maximize the potential of their data. You will be expected to lead data initiatives, optimize data pipelines, and develop AI-driven solutions that improve business decision-making and operational efficiency. Key Responsibilities: - Design and implement data analytics tailored to meet client business needs. - Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric. - Optimize data integration workflows utilizing 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. Your expertise in Microsoft Fabric & Cloud will be crucial in: - Leveraging Microsoft Fabrics suite of tools such as Data Warehouse, Data Factory, Power BI, and Lakehouse architecture. - Optimizing data pipelines and analytics workflows for performance, cost efficiency, and scalability. - Guiding clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights. - Staying abreast of Microsoft Fabric innovations, AI Copilot, and emerging data capabilities. In terms of Client Engagement & Advisory, you will: - 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. For Project Delivery & Execution, your responsibilities will include: - D