Scrum Master/Technical Business Analyst, Telecom

Posted 11 days agoViewed
United StatesFull-TimeTelecom
Company:Sand Cherry Associates
Location:United States, MST, EST
Languages:English
Seniority level:Middle, 5+ years
Experience:5+ years
Skills:
Project ManagementSoftware DevelopmentAgileBusiness AnalysisData AnalysisJiraRESTful APIsConfluence
Requirements:
Bachelor's degree in Business, Computer Science, or other related fields Minimum of 5 years’ experience working with business requirements, gathering, and translating requirements to development teams and working between development and business unit stakeholders Experience working in network technology or with development teams in a data, business analysis, or project management function Scrum Master, Business Analyst and/or Agile certifications strongly preferred Experience with Agile development management methodologies Experience in industry like telecommunications or broadband is required Experience with Atlassian's Confluence software such as Jira, Chalk is required Experience or training in Amazon Q desired Ability to interpret system logic and APIs a plus Experience working with senior decision makers and presenting reports and analysis Strong communication, analytical and critical thinking skills Proven ability to document and adhere to business requirements Data-oriented, well-organized personality Ability to work independently and as part of a cross functional team
Responsibilities:
Analyze and evaluate information technology systems, data flows, and operational processes. Lead requirements elicitation and translate business needs into functional and technical specifications. Act as liaison between users, business stakeholders, and technical/development teams. Lead Agile ceremonies including sprint planning, backlog grooming, and stand-ups. Prepare and maintain comprehensive documentation. Partner with product owners, architects, engineers, and delivery teams. Support QA and UAT processes. Recommend and support enhancements to key delivery systems. Use data-driven insights to identify performance gaps and propose workflow refinements.
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