business analyst in data and AI

WMG Product & Services delivers data, analytics and AI solutions within SAS Viya and AWS environments.

• Work with Business Analysts to understand business needs, processes and use cases and translate them into functional, data and technical requirements;
• Assess delivery feasibility within existing SAS Viya and AWS environments and identify technical, system, data and integration prerequisites and dependencies;
• Collaborate with Solution Architects and implementation teams to shape feasible solutions and recommend alternatives;
• Analyze data availability, structure and quality with Data Analysts, Data Scientists and Data Engineers;
• Map business concepts and rules to relevant systems, data and technical processes;
• Contribute to defining integrations, data flows, model outputs and their use by systems and business processes;
• Support implementation by clarifying requirements, reviewing intermediate results and identifying gaps or deviations;
• Define and validate acceptance criteria and contribute to functional testing, integration testing and UAT;
• Translate technical findings, data insights and model outputs into business implications and help identify their application within business processes;
• Support backlog refinement and delivery by aligning requirements, dependencies, expected outputs and acceptance criteria with business needs;
• Monitor backlog items from a requirements perspective and identify deviations, open questions and potential scope changes;
• Contribute to proposal development by analyzing requirements, defining dependencies, assessing feasibility and complexity, and preparing and presenting the functional-technical solution.

• Experience in Technical Business Analysis, ideally within data, analytics, AI/ML or complex information systems;
• Strong functional and technical understanding of SAS Viya, including data preparation, analytical processes, scoring, model outputs and integrations;
• Working knowledge of AWS and cloud environments, including data processing, storage, integrations, security and development, test and production environments;
• Good understanding of data flows, integrations, data pipelines and the lifecycle of analytical and machine learning solutions;
• Knowledge of SQL and hands-on experience with data analysis;
• Ability to translate business requirements into functional and technical specifications;
• Ability to translate technical outcomes, dependencies and constraints into a clear business context;
• Experience working across business and technical teams, including Solution Architects and data specialists;
• Experience producing clear documentation and supporting functional, integration testing and UAT;
• This is not a SAS Viya or AWS administration role, nor a cloud architecture position; sufficient technical depth is required to assess requirements, identify dependencies and work effectively with architecture and implementation teams.

• No conditions specified