End User Support Analyst IV

End User Support – Data Analyst IV
-W2
Chicago IL – Hybrid

• Analyze Service Desk interaction, incident, request, workforce, quality, customer satisfaction, service-level, and self-service data to identify trends, recurring issues, demand drivers, and improvement opportunities.
• Develop and maintain dashboards, scorecards, forecasts, and executive-ready reports that translate complex data into clear insights, risks, recommendations, and measurable outcomes.
• Define data requirements, validate source accuracy, reconcile discrepancies, document metric logic, and promote consistent reporting and data-governance practices.
• Lead projects of moderate complexity through intake, scope definition, requirements gathering, planning, execution, testing, implementation, adoption, and post-launch measurement.
• Create and maintain project plans, milestones, risks, issues, dependencies, decisions, status updates, and stakeholder communications; elevate barriers and drive timely resolution.
• Map current-state workflows, identify process gaps and failure points, and design future-state processes that improve resolution time, first-contact resolution, customer satisfaction, security, quality, and cost efficiency.
• Evaluate high-volume and repetitive support activities for automation, self-service, intelligent routing, agent-assist, chatbot, AI, and robotic process automation opportunities.
• Develop automation business cases using volume, effort, cost, risk, customer impact, adoption, and return-on-investment measures; prioritize opportunities with Service Desk leadership and technical partners.
• Write business and functional requirements, user stories, acceptance criteria, test scenarios, and process documentation for automation and Service Desk technology enhancements.
• Coordinate user acceptance testing, defect resolution, implementation readiness, training, communications, and adoption activities for new processes and solutions.
• Monitor automation performance and self-service adoption; identify exceptions, handoffs, control gaps, and unintended impacts, and lead continuous-improvement actions.
• Partner with application, infrastructure, identity, cybersecurity, IT service management, contact-center, data, and vendor teams to improve end-to-end support outcomes.
• Support major initiatives and operational events by providing impact analysis, trend monitoring, status reporting, and after-action insights.
• Create and maintain standard operating procedures, knowledge articles, data dictionaries, project documentation, and training materials.
• Perform other duties and support after-hours implementations or operational needs as assigned.

• Bachelor’s degree in Information Technology, Data Analytics, Business, Project Management, or a related field, or equivalent relevant experience.
• Three or more years of experience in data analysis, business analysis, project coordination or management, process improvement, automation, or IT operations.
• Experience working with Service Desk, help desk, contact-center, or other high-volume operational data and performance measures.
• Proficiency with spreadsheet-based analysis and data visualization or business-intelligence tools; ability to combine, validate, analyze, and present data from multiple sources.
• Working knowledge of project-management methods and tools, including scope, schedule, risk, issue, dependency, testing, implementation, and stakeholder management.

• Five or more years of relevant experience in enterprise technology support, service operations, analytics, automation, or project delivery.
• Experience with Service Now or a comparable IT service management platform, contact-center technologies, and…