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# Sr AI Data Analyst

- **Company:** Enterprise Solution Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** LangGraph Framework, Microsoft Excel, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Integration, Extract Transform Load (ETL), Data Mining, Github, Python (Programming Language), Power BI, OpenAI, Tensorflow, SQL Databases, Tableau (Software), Jupyter Notebook, Google Cloud, Azure Data Factory, LangChain, Retrieval-Augmented Generation, Large Language Models, Snowflake, Generative AI, Agentic-AI, Git, Microsoft Fabric, Pyspark, Scikit Learn, Data Analytics, Data Management, Software Version Control, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/bfeba74f-2a40-4a42-bdb0-0c4ee008a91e

## About the Role

Seeking a Senior AI Data Analyst with strong experience in data analytics, AI/ML, and modern data tools to analyse complex datasets and deliver actionable business insights., <>Required Technical Skills & Tools

 * Programming: Python, SQL, PySpark.
 * AI/ML: Scikit-learn, TensorFlow, Azure OpenAI, Generative AI, LLMs.
 * Data Analytics: Power BI, Tableau, Excel.
 * Data Platforms: Databricks, Snowflake, Microsoft Fabric.
 * Cloud: Azure, AWS, or Google Cloud Platform.
 * ETL & Data Integration: Azure Data Factory, Informatica, dbt.
 * AI Tools: LangChain, LangGraph, RAG frameworks, Jupyter Notebook.
 * Version Control: Git, GitHub.

<>Preferred Skills

 * Experience with predictive analytics and statistical modelling.
 * Knowledge of LLM-based data analysis and AI agents.
 * Experience implementing enterprise AI solutions.
 * Strong analytical and communication skills.

## Description

As a Senior AI Data Analyst, you will:

 * Analyse large datasets and identify trends and patterns.
 * Build dashboards, reports, and AI-driven analytical solutions.
 * Work with AI/ML teams on predictive analytics and GenAI initiatives.
 * Perform data extraction, cleansing, transformation, and validation.
 * Develop automated reporting and data analysis workflows.
 * Collaborate with business and technical stakeholders.