<p>We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. <strong>This role requires the candidate to be onsite, with a hybrid schedule.</strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.</p><p>• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.</p><p>• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.</p><p>• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.</p><p>• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.</p><p>• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.</p><p>• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.</p><p>• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.</p><p>• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.</p>
We are looking for a Cloud Engineer to create and enhance secure, scalable cloud environments that support modern application and data solutions. This position suits a technically strong individual who enjoys combining infrastructure, automation, and application engineering to deliver reliable enterprise platforms. You will collaborate with engineering and architecture partners to improve cloud performance, strengthen operational practices, and advance DevOps capabilities.<br><br>Responsibilities:<br>• Architect, build, and maintain Azure-based cloud environments that support both application workloads and data services.<br>• Develop resilient platform solutions using cloud services such as app hosting, serverless components, container orchestration, traffic routing, and gateway technologies.<br>• Define and manage infrastructure through code with tools such as Bicep or comparable frameworks to improve consistency and repeatability.<br>• Create automated delivery pipelines using platforms like GitHub Actions or Azure DevOps to enable testing, deployment, and controlled release strategies.<br>• Support containerized applications by working with Docker and Kubernetes to improve deployment efficiency and operational stability.<br>• Work closely with software engineers to refine cloud-native designs for stronger scalability, availability, and performance.<br>• Apply security-focused engineering practices, including identity controls, access management, and Zero Trust principles across cloud services.<br>• Establish monitoring, alerting, and observability capabilities using tools such as Azure Monitor and Application Insights to improve operational insight.<br>• Lead cost management efforts by evaluating resource usage, recommending optimization opportunities, and enforcing governance standards.<br>• Produce clear technical documentation for platform architecture, deployment patterns, and operational procedures to support long-term scalability.
We are looking for a senior-level data and customer insights specialist to lead experience analytics initiatives for a Long-term Contract position based in Wisconsin. In this role, you will connect customer signals across key journeys, transform findings into practical recommendations, and help improve operational and customer outcomes. The ideal candidate is self-directed, comfortable working through ambiguity, and able to contribute quickly in a fast-moving environment.<br><br>Responsibilities:<br>• Build and expand customer listening programs using Qualtrics and comparable platforms to capture feedback and behavioral signals across important journey stages.<br>• Design and manage transactional surveys, digital intercepts, and session-based insight tagging to strengthen visibility into customer interactions.<br>• Evaluate journey coverage to identify missing feedback mechanisms, prioritize gaps, and drive efforts to improve measurement across touchpoints.<br>• Convert analytical findings into clear action plans with defined ownership, timelines, and measurable business impact.<br>• Prepare recurring CX performance updates that highlight trend movement, explain metric shifts, and summarize progress against key actions.<br>• Maintain organized execution tracking so initiatives, priorities, owners, and outcomes are documented and reviewed consistently.<br>• Create insight communications such as deep-dive analyses and internal newsletters that explain customer friction points, contributing factors, and recommended next steps.<br>• Collaborate closely with product, operations, technology, and CX stakeholders to validate findings, remove blockers, and support execution of improvements.<br>• Work independently to frame loosely defined problems, establish analysis approaches, and move initiatives forward with minimal oversight.
We are looking for a senior-level data analyst to lead customer experience insight efforts and turn complex signals into clear business actions. This Long-term Contract position supports teams in Mequon, Wisconsin, and requires someone who can work independently, quickly establish direction, and influence outcomes across key customer journeys. The ideal candidate combines strong analytical judgment with hands-on experience in customer feedback programs, operational reporting, and cross-functional collaboration to improve performance at scale.<br><br>Responsibilities:<br>• Produce recurring customer experience reports that highlight performance patterns, explain notable shifts, and connect findings to business impact.<br>• Maintain organized execution tracking for initiatives, ensuring priorities, owners, next steps, and results are clearly documented and reviewed regularly.<br>• Create insight communications such as briefs, summaries, and deep-dive analyses that clarify customer friction points, emerging trends, and recommended actions.<br>• Work closely with product, operations, technology, and customer experience partners to confirm findings, remove barriers, and drive progress on improvement efforts.<br>• Investigate customer journey issues by identifying root causes and translating data into practical recommendations for operational and experience enhancements.<br>• Manage customer feedback measurement activities using platforms such as Qualtrics, including survey setup, digital intercept support, and behavioral insight collection.<br>• Connect voice-of-customer inputs with operational and journey data to evaluate how customer signals influence service outcomes and business results.<br>• Tackle ambiguous analytical problems with minimal oversight, establishing structure, priorities, and next steps to keep initiatives moving forward.