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Posted 3w ago

Data Analytics and AI Senior Consultant (51159)

@ Citrin Cooperman
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Carlsbad, California, United States
$70k-$125k/yrHybridFull Time
Responsibilities:design analytics, develop architectures, optimize pipelines
Requirements Summary:Bachelor’s or Master’s in data-related field; 3+ years data analytics/AI/cloud data engineering; 2+ years consulting; strong SQL, Python, or R; MS Fabric, Synapse, Data Factory, Power BI experience.
Technical Tools Mentioned:Microsoft Fabric, Synapse Analytics, Data Factory, OneLake, Power BI, Azure Databricks, Azure ML, Cognitive Services
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Job 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 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.

  • 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.