Senior Business Analyst

Amivero

About The Position

The Amivero Team Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems. The Gist… As a Senior Business Analyst, you will play a pivotal role in providing strategic insights and analytical expertise to optimize business processes, facilitate informed decision-making, and drive agility within client organizations. You will draw upon your existing relationships to proactively build a healthy backlog of projects for the development teams. This position requires a deep understanding of Agile methodologies, strong analytical skills, and the ability to effectively communicate and collaborate with cross-functional teams.

Requirements

US Citizenship Required to obtain DHS Public Trust
Bachelor + 5 years of experience
Certified Scrum Master (CSM).
Strong analytical and problem-solving skills with the ability to translate complex business requirements into practical solutions.
Proven experience in Agile methodologies, business analysis, and data analysis in a consulting or similar environment.
Strong proficiency in Agile frameworks (e.g., Scrum, Kanban) and associated tools (e.g., Jira, Confluence).
Excellent analytical thinking, problem-solving abilities, and attention to detail.
Exceptional interpersonal and communication skills, both written and verbal.

Responsibilities

Lead and manage Agile Scrum processes, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Collaborate with teams to ensure Agile principles and methodologies are applied effectively to drive project success.
Foster a culture of continuous improvement, promoting Agile best practices and values.
Leverage existing client relationships to build a long-term pipeline of automations.
Coordinate across the program staff and resources needed to demonstrate examples of automations.
Develop and maintain strong relationships with clients, providing expert advice and guidance on business strategies, change management, and process improvements.
Create compelling and insightful presentations and reports to communicate findings, recommendations, and implementation plans to stakeholders at various levels of the organization.
Collaborate with cross-functional teams to identify business needs, goals, and objectives, ensuring alignment with organizational strategies and industry best practices.
Conduct comprehensive analyses of business processes, systems, and data to identify areas for improvement and optimization.
Evaluate and interpret data to develop actionable insights and recommendations for process enhancements, cost reduction, revenue generation, and operational efficiency.
Define and document business requirements, user stories, use cases, and functional specifications to guide development and implementation efforts.
Facilitate workshops and meetings with stakeholders to gather requirements, define scope, and establish project objectives.
Mentor staff on the art of Agile and techniques to capture and decompose packages of work.
Collaborate with project managers to ensure successful project delivery, on-time and within budget, while meeting quality standards and client expectations.
Contribute to the continuous improvement of internal processes and methodologies to enhance the quality and efficiency of service delivery.
Implement best practices in data management, ensuring data quality, governance, and accessibility.
Work with data engineers to create data mesh architectures that support data democratization and enable self-service data access.
Utilize data mesh principles to build data platforms that scale and promote data collaboration across the organization.