Business Analyst

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. Ready to take your career global? Make your mark at one of the biggest names in payments. We are seeking a Business Analyst to partner across Operations teams to identify, design, and deliver improvements that create better customer and employee experiences while reducing cost and operational complexity. This is an internal consulting role for a curious, structured, and action-oriented problem solver. You will research how work is performed today; analyze processes, tools, data, and knowledge sources; interview stakeholders; map end-to-end journeys; and turn insights into practical initiatives. You will work closely with Data Analysts, Project Managers, AI Engineers, Salesforce Administrators, and Learning & Development Coordinators to move ideas from discovery through design, testing, adoption, and measurable outcomes. What you'll own Discover and analyze opportunities Research current-state business processes, operational tools, data sources, knowledge assets, handoffs, and pain points. Interview stakeholders across Operations to understand customer needs, employee workflows, root causes, constraints, and opportunities. Facilitate discovery sessions, working meetings, and process-design workshops with cross-functional partners. Create clear current-state and future-state process maps, service blueprints, customer journeys, employee journeys, workflow diagrams, and decision flows. Analyze end-to-end experiences to identify friction, rework, unnecessary manual effort, duplicate work, delays, failure points, and inconsistent practices. Evaluate end-to-end experiences to identify friction, rework, unnecessary manual effort, duplicate work, delays, failure points, and inconsistent practices. Evaluate business problems using qualitative stakeholder feedback and quantitative operational data. Shape solutions and recommendations Identify and assess opportunities for process standardization, automation, self-service, workflow optimization, AI, generative AI, data improvements, and knowledge-management enhancements. Recommend initiatives that improve customer experience, employee experience, quality, speed, consistency, scalability, and cost efficiency. Evaluate potential solutions across business value, customer and employee impact, implementation effort, risk, technical feasibility, data readiness, and change-management needs. Develop clear business cases, including expected benefits, success measures, assumptions, risks, dependencies, and estimated cost or effort savings where applicable. Challenge existing ways of working constructively and facilitate honest conversations that lead to better outcomes. Help prioritize an improvement portfolio based on strategic value, urgency, expected impact, and organizational capacity. Deliver strategic initiatives Own or co-own strategic improvement initiatives from discovery through implementation, measurement, and continuous improvement. Translate business needs into well-defined requirements, user stories, acceptance criteria, process rules, data needs, and operational scenarios. Document solution designs that describe the future-state process, user experience, system behavior, roles and responsibilities, data flows, integrations, reporting needs, controls, and exception handling. Partner with Project Managers to define project scope, milestones, risks, dependencies, stakeholder plans, and implementation approaches. Partner with Data Analysts to identify relevant metrics, validate data sources, measure baseline performance, and quantify outcomes. Partner with AI Engineers to assess and design responsible AI and generative-AI use cases, including workflow fit, knowledge requirements, evaluation criteria, human review, and operational adoption. Partner with Salesforce Administrators to evaluate configuration, workflow, automation, data-quality, reporting, and integration solutions. Partner with Learning & Development Coordinators to design training, adoption, communications, job aids, and feedback loops that support lasting change. Support solution testing, user acceptance testing, pilot programs, experimenation, rollout readiness, and post-implementation measurement. Drive learning and improvement Create a culture of experimentation by helping teams test hypotheses, run pilots, capture learnings, and adjust quickly. Define success metrics and monitor results after implementation, including customer outcomes, employee experience, process performance, quality, adoption, cost, and risk. Identify follow-on opportunities based on feedback, #J-18808-Ljbffr tsys