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Senior Data Business Analyst

United States, Austin · Job Posted December 08, 2025
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Job Description

Senior Business Data Analyst. This role will play a critical part in analyzing existing business processes, identifying data pain points, and translating complex business needs into actionable requirements for new systems or system enhancements.

Job Responsibility

  • Analyze existing business requirements, data flows, and system functionalities to identify gaps and opportunities
  • Elicit, document, and refine business requirements, Epics, and User Stories with clear acceptance criteria
  • Collaborate with business stakeholders, product owners, and technical teams to align system capabilities with business goals
  • Create and maintain data dictionaries, business requirement documents, and data mapping specifications
  • Design and present visual data models and dashboards to communicate trends, KPIs, and timelines
  • Lead data-focused meetings, workshops, and interviews to gather requirements and drive issue resolution
  • Provide actionable insights and recommend improvements to enhance business processes and data management

Requirements

  • 13+ years of hands-on experience as a Business Data Analyst in the IT industry
  • Proven expertise in analyzing data-driven business problems and providing actionable solutions
  • 10+ years designing and optimizing data workflows and data management processes using modeling/mapping tools
  • Strong proficiency in writing Epics and User Stories (functional & non-functional requirements)
  • 8+ years in creating data documentation (data dictionaries, BRDs, data mapping)
  • Experience designing data models & dashboards for trends, performance, and project timelines
  • Demonstrated ability to lead workshops, interviews, and meetings to gather and clarify requirements

Nice to have

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or related field (or equivalent experience)
  • Strong multitasking skills with the ability to manage multiple data projects concurrently

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