Consultant, Continuous Process Improvement – Data Analytics

Roles and Responsibilities: SKAN AI Administration & Development • Configure, maintain, and enhance SKAN AI deployments across supported GBFS functions. • Design and manage process intelligence studies, process discovery initiatives, and data collection activities within the SKAN platform. • Ensure platform configurations, user access, governance controls, and system settings align with business requirements. • Troubleshoot platform issues, perform system maintenance activities, and coordinate vendor support when required. • Analyze SKAN-generated insights to identify process inefficiencies, bottlenecks, rework, automation opportunities, and productivity improvement opportunities. • Support the deployment and expansion of SKAN across new business processes and functional areas. • Partner with process improvement teams to convert process intelligence findings into actionable improvement recommendations. ProHance Administration & Analytics • Configure and maintain ProHance workforce analytics and productivity management solutions. • Develop and manage productivity analysis frameworks, workforce utilization reports, and operational dashboards. • Monitor platform performance, data quality, and reporting accuracy. • Analyze workforce productivity trends and operational performance metrics. • Generate actionable insights to support capacity planning, resource optimization, workload balancing, and operational effectiveness initiatives. • Provide ongoing support, enhancements, and user guidance for ProHance implementations. Business Intelligence & Dashboard Development • Design, develop, and maintain interactive dashboards and reports using Power BI and other reporting tools. • Translate business requirements into meaningful visualizations and performance reporting solutions. • Create standardized KPI dashboards for operational leaders, process owners, and executive stakeholders. • Develop automated reporting solutions that improve visibility into operational performance and process health. • Ensure reporting accuracy, consistency, and governance across Strategic Improvement initiatives. • Support the development of scorecards, process metrics, and operational performance monitoring frameworks. Data Analytics & Process Intelligence • Conduct data analysis, trend analysis, root cause analysis, and operational assessments. • Perform productivity, utilization, operational metrics, and process performance analyses. • Integrate data from multiple sources to support process improvement initiatives. • Identify patterns, risks, opportunities, and emerging trends through advanced data analysis techniques. • Support benchmarking, opportunity assessments, and continuous improvement evaluations. • Deliver clear, actionable insights that support business decision-making and operational improvement efforts. Strategic Improvement Support • Partner with Process Intelligence Consultants, Business Analysts, and Process Improvement teams to support improvement projects. • Support process discovery, process maturity assessments, diagnostic studies, and operational reviews. • Assist in identifying automation, standardization, and simplification opportunities. • Develop analytical models and reporting tools that enable data-driven improvement decisions. • Contribute to improvement recommendations and business cases through quantitative analysis. Solution Development & Automation • Develop and support workflow automation solutions that improve operational efficiency, user experience, and business process effectiveness. • Build and maintain automated processes, system integrations, and reporting solutions to reduce manual effort and enhance operational visibility. • Design, develop, and support custom business applications, digital tools, and technology solutions that address operational needs and process improvement opportunities. • Support the integration of analytics, reporting, and process intelligence capabilities within operational improvement initiatives. • Evaluate, recommend, and implement technology solutions that enable process optimization, productivity improvement, and operational excellence objectives. • Collaborate with business stakeholders to identify automation opportunities and translate business requirements into scalable technical solutions. • Develop and maintain technical documentation, application support procedures, and solution governance standards. • Support ongoing enhancement, maintenance, and continuous improvement of internally developed applications, automation solutions, and analytics platforms. Stakeholder Engagement & Enablement • Collaborate with business stakeholders to understand reporting, analytics, and process intelligence requirements. • Present findings, trends, and recommendations to project teams and business leaders. • Train and support platform users, business stakeholders, and operational teams. • Develop user guides, technical documentation, and governance materials. • Promote data-driven decision-making and process intelligence adoption across GBFS Qualifications: Required • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Industrial Engineering, Business Analytics, Statistics, or a related field; or equivalent combination of education and experience. • 4-8 years of experience in Data Analytics, Business Intelligence, Process Intelligence, Process Mining, Workforce Analytics, or a related technical field. • Experience developing Power BI dashboards and reporting solutions. • Strong analytical and problem-solving skills with experience translating data into actionable business insights. • Experience working with large datasets, data transformation, and reporting tools. • Knowledge of process improvement methodologies and operational performance measurement. • Strong verbal and written communication skills. Preferred • Experience configuring and administering SKAN AI or similar Task Mining/Process Intelligence platforms. • Expe