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Sr. Business AnalystGolden Technology • Bridgeton, Missouri, United States
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Sr. Business Analyst

Golden Technology
  • US
    Bridgeton, Missouri, United States
  • US
    Bridgeton, Missouri, United States
Jetzt Bewerben

Über

The Sr. IT Business Analyst (BA) leads requirements engineering and business analysis across complex Agile programs, partnering with Product Owners, architects, and cross‑functional teams to design, develop, and deliver solutions through iterative delivery cycles. This role drives the adoption of Agile analysis practices, designs AI‑augmented requirements workflows, mentors less experienced analysts, and ensures that business value is maximized through well‑defined product backlogs and data‑driven decision‑making.
Location: Bridgeton, MO Type: Contract to hire
Responsibilities
Leads feasibility assessments for complex business requests, leveraging AI‑assisted research and data analytics to identify and recommend optimal solutions aligned with strategic goals.
Conducts gap analysis between existing business systems and evolving customer requirements, informing backlog prioritization and sprint planning decisions.
Collaborates with Product Owners, System Architects, and Agile development teams to refine epics into detailed user stories with clear acceptance criteria.
Authors and maintains Agile artifacts including user stories, acceptance criteria, process flows, and technical specifications, leveraging AI‑assisted documentation tools where appropriate.
Leads complex data analysis initiatives using AI‑powered analytics platforms and traditional tools, synthesizing findings into actionable product insights and strategic recommendations.
Partners with senior management, Product Owners, and stakeholders to define program vision, epic‑level roadmaps, and OKRs that drive measurable business outcomes.
Develops release strategies, sprint planning inputs, and stakeholder communication frameworks to ensure transparent, iterative solution delivery.
Effectively communicates program objectives, release cadences, and delivery status through Agile ceremonies, executive dashboards, and AI‑generated insights.
Proactively identifies and manages cross‑team dependencies and architectural risks, facilitating resolution through Agile coordination events and escalation pathways.
Defines comprehensive acceptance frameworks, designs behavior‑driven test strategies, and oversees acceptance testing across multiple product increments and release trains.
Drives continuous improvement across the BA function by leading retrospectives, establishing Agile analysis best practices, and championing AI tool adoption.
Mentors and coaches less experienced Business Analysts on Agile analysis practices, AI tool adoption, user story craftsmanship, and professional development.
Other duties as needed or assigned.
Required Qualifications
Bachelor’s degree in computer science, business administration, information systems, or a related field, or equivalent work experience.
3‑5 years of direct work experience in a Business Analyst or similar capacity, including all aspects of process development and execution with demonstrated expertise in Agile delivery.
IIBA Agile Analysis Certification (AAC), PMI‑PBA, SAFe Product Owner/Product Manager, or equivalent Agile certification required.
Advanced ability to translate business needs into strategic product roadmaps, well‑structured user story hierarchies, and measurable Agile solutions.
Expert‑level experience leading requirements engineering within scaled Agile frameworks, translating enterprise‑level needs into detailed story maps, process flows, and specifications for multiple delivery teams.
Strong data literacy including SQL, data warehouse analysis, and AI‑powered analytics platforms for advanced data‑driven decision‑making and predictive insights.
Expert proficiency with enterprise Agile tools (e.g., Azure DevOps), AI productivity platforms, and Microsoft Office products.
Previous experience facilitating and leading Agile ceremonies including backlog refinement, sprint planning, and cross‑team coordination events for complex, multi‑stream programs.
Advanced experience with agentic AI tools, including designing and implementing AI‑augmented analysis workflows, configuring intelligent requirements assistants including AI‑powered requirements extraction, automated impact analysis, and intelligent documentation generation.
Expertise in Agile scaling frameworks (SAFe, LeSS) with experience supporting PI Planning, Agile Release Trains, and multi‑team coordination.
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  • Bridgeton, Missouri, United States

Sprachkenntnisse

  • English
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