IT business analyst
Resume examples

Drove digital publishing platforms to deliver the best customer shopping experience for the company’s online customers. Led UAT planning and execution across platforms and cross-functional teams. Continually bridge the gap between strategy and execution to ensure the success of customers, stakeholders, and team members.

• Developed creative solutions alongside Product and technology teams through the project phases to promote quality, scalability, and process improvement.
• Led multiple projects simultaneously through software development cycles using Agile, waterfall, or hybrid methodologies.
• Promoted best-in-class processes and systems with intuitive UI to support the business goals.
• Conducted workshops for requirement gathering with cross-functional teams.
• Gathered business requirements with business users and wrote detailed requirement documentation utilizing business use cases and user stories, data analysis, and process maps.
• Engaged Stakeholders during change management initiative, leveraged clear and strategic communication to ensure employee buy-in and companywide adoption of change; significantly reduced negative change impact to the organization.

Analyzed business needs, recommended, and coordinated plans, and simultaneously handled multiple projects, including customer communications, personnel services, and business strategies. Ensured that final deliverables met all intended needs and were deployed on time and within budget.

• Partnered with the contract and billing departments to provide recommendations on IT needs, functionality, processes, and configurations.
• Originated systems applications from design to creation, and collaborated with the IT development team to create structured programming languages.
• Designed, developed, and implemented basic to moderate complex IT architecture projects for the company and our clients.
• Managed the master data set, troubleshooting issues, and created new models to support business decisions in collaboration with financial and operational teams.
• Suggested strategies and initiatives to optimize costs by using data analytics to assess process efficiencies.