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# Business Analyst with AI & Sql

- **Company:** Galaxy i Technologies, Inc
- **Location:** Austin, TX, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Information Engineering, Data Warehousing, Python (Programming Language), Machine Learning, Scrum Methodology, Recommender Systems, Power BI, Standard Sql, SQL Stored Procedures, SQL Databases, Tableau (Software), Freeform SQL, Chatbots, Large Language Models, Prompt Engineering, Generative AI, Data Analytics
- **Published:** July 31, 2026
- **Apply:** https://www.dice.com/job-detail/8ebe7ba7-e163-47d8-8274-4a41d5dec449

## About the Role

* Requirements gathering
 * Process mapping
 * Gap analysis
 * Stakeholder management
 * Agile/Scrum methodologies
 * User story creation
 * UAT planning and execution

Technical Skills

 * Strong SQL (joins, CTEs, window functions, subqueries, stored procedures)
 * Data analysis
 * Excel (Advanced)
 * Power BI or Tableau
 * Basic Python (preferred)
 * Understanding of data warehousing concepts

AI & Analytics

 * Understanding of Generative AI and Large Language Models (LLMs)
 * AI use case identification
 * Prompt engineering fundamentals
 * Predictive analytics concepts
 * AI-assisted business process automation
 * Basic understanding of machine learning lifecycle

## Description

We are seeking a Business Analyst with strong business analysis skills, advanced SQL knowledge, and an understanding of AI-driven solutions. The ideal candidate will bridge business and technical teams by gathering requirements, analyzing data, identifying business opportunities, and supporting AI and analytics initiatives., * Gather, analyze, and document business requirements from stakeholders.

 * Translate business needs into functional and technical specifications.
 * Write complex SQL queries to extract, validate, and analyze data.
 * Perform data analysis to identify trends, patterns, and business insights.
 * Create dashboards and reports using BI tools (Power BI/Tableau).
 * Collaborate with Data Engineering, AI/ML, and Product teams.
 * Identify opportunities where AI can improve business processes and customer experience.
 * Support AI use cases such as forecasting, recommendation systems, chatbots, and predictive analytics.
 * Prepare BRDs, FRDs, user stories, process flows, and acceptance criteria.
 * Conduct UAT and ensure delivered solutions meet business requirements.
 * Communicate findings and recommendations to leadership and stakeholders.


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