14115 - Data Business Analyst (onsite) – Austin, TX
Start Date: ASAP
Type: Temporary Project Estimated
Duration: 11 months with possible extensions
Work Setting: Position will be 2 days remote with 3 days (Mon, Tue & Thu) required to be onsite at the location listed above.
Required:
• Availability to work 3 days per week at the Client’s site in Austin, TX (required);
• Experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills (13 years);
• Experience collaborating with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions (13 years);
• Experience designing and optimizing data workflows and data management processes using modeling or mapping tools (10 years);
• Experience writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams (10 years);
• Experience creating and maintaining data-related documentation including data dictionaries, business requirement documents, and data mapping specifications (8 years);
• Experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines (8 years);
• Experience leading data-focused meetings and interviews, documenting outcomes, and driving resolution of data-related issues (8 years);
Preferred:
• Experience managing multiple data projects or assignments concurrently (4 years);
• Bachelor's degree in data science, Computer Science, Information Systems, Business Analytics, or a related field.
Responsibilities:
• Understand business objectives and problems, and identify alternative solutions.
• Analyze user requirements, procedures, and problems to automate processing or improve existing computer systems.
• Write detailed descriptions of user needs, program functions, and steps required to develop or modify computer programs.
• Review computer system capabilities, specifications, and scheduling limitations.
• Analyze existing business requirements to understand current functionalities, data flows, and pain points.
• Elicit and write comprehensive business requirements for new systems or enhancements.
Translate complex business needs into clear, actionable requirements.