Business Analyst with AI & Sql

Galaxy i Technologies, Inc
Austin, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

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
+8 more
SQL Databases Tableau (Software) Freeform SQL Chatbots Large Language Models Prompt Engineering Generative AI Data Analytics

Job 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.

Requirements

  • 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

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