Senior Consultant - Data Analytics & AI

Description :

Senior Consultant Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data.

This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fabric.

Lead data initiatives, optimize data pipelines, and develop AI-driven solutions that enhance business decision-making and operational efficiency.

Key Responsibilities :

Data Analytics & AI Solutions Development :

- 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 Fabrics suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.

- Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.

- Ability to 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-end 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.

Qualifications & Experience :

- Bachelors or Masters 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 :

- 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.