Consultant, Continuous Process Improvement – Data Analytics

Roles and Responsibilities:

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Experience configuring and administering SKAN AI or similar Task Mining/Process Intelligence platforms.
• Experience configuring and administering ProHance or Workforce Productivity Analytics platforms.
• Experience with Power BI including DAX, Power Query, data modeling, and dashboard design.
• Experience with SQL, relational databases, and data integration techniques.
• Experience supporting Process Mining, Process Discovery, or Operational Analytics initiatives.
• Experience within Shared Services, Global Business Services (GBS), Finance Operations, Healthcare Operations, or Supply Chain environments.
• Experience with Lean Six Sigma, Continuous Improvement, or Operational Excellence methodologies.
• Experience building automated solutions using Microsoft Power Platform.

• SKAN AI Configuration and Administration (preferred)
• ProHance Configuration and Administration (preferred)
• Power BI Development and Data Visualization
• SQL and Data Modeling
• ASP.NET Development
• Microsoft Power Automate
• Application Development and System Integration
• Business Intelligence and Analytics
• Workflow Automation
• API Integration and Data Connectivity

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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