Business Analyst + Data Scientist

Business Analyst + Data Scientist

Summary

Responsibilities

• Design and implement robust data models utilizing Delta Tables and Unity Catalog within the Databricks ecosystem.
  
• Facilitate the end-to-end requirements lifecycle, including gathering business needs, drafting functional specifications, and authoring user stories.
  
• Collaborate with stakeholders to define scope, manage expectations, and ensure successful User Acceptance Testing (UAT) phases.
  
• Develop and deploy GenAI and Agentic AI solutions to enhance business processes and automate complex workflows.
  
• Conduct comprehensive business analysis and SQL queries to extract meaningful trends and support strategic planning.
  
• Serve as the primary liaison between technical teams and business units, translating complex technical concepts into clear business value.
  
• Manage integration projects involving SAP Business One and ensure data consistency across enterprise systems.
  
• Drive the creation of Business Requirement Documents (BRD) and maintain clear communication channels throughout the project lifecycle.
  

• Minimum of 5 years of professional experience in business analysis, data science, or a related field within the IT Services sector.
  
• Proficiency in modern data stack tools, specifically Delta Tables, Unity Catalog, Databricks Genie, and advanced SQL.
  
• Strong background in requirement gathering, functional requirements documentation, and user story creation.
  
• Hands-on experience with SAP Business One and a solid understanding of enterprise resource planning (ERP) systems.
  
• Demonstrated expertise in implementing GenAI and Agentic AI applications within business contexts.
  
• Proven track record in stakeholder management, leading UAT processes, and facilitating cross-functional collaboration.
  
• Excellent analytical skills with the ability to interpret data trends and translate them into actionable business strategies.
  
• Ability to work effectively in a fast-paced environment while managing multiple priorities and delivering high-quality results.