Continuous Improvement Analyst
Description
Role Summary
As the Continuous Improvement Analyst for CBS (Colgate Business Services) you will focus specifically on Picture the end to end Process for the Future on C2C Activities managing the solutions already designed and leading the new opportunities for Automation and standardization, based on SAP Scripting (VBA developments) and RPA tools designed on Uipath, OCR instances, and all the new applicable technologies.
Responsibilities
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Automation & Process Optimization: Serve as the primary point of contact for Credit to Cash (C2C) automation and standardization initiatives, continuously identifying process improvement opportunities and implementing OCR technologies.
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Solution Development & Maintenance: Lead the design, development, and ongoing maintenance of automated tools and scripts (SAP Scripting, UiPath RPA, and emerging technologies) while ensuring operational business continuity.
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Project Management & Stakeholder Alignment: Manage IT requirements, align deliverables with the Order to Cash (O2C) Global Process Owner, and act as a key technical interface for RPA developments.
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Governance & Best Practice Sharing: Coordinate available automation resources, adopt the FEED methodology, and actively share best practices with European shared service centers (CBS Europa) and cross-functional streams.
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Capability Building & Support: Deliver technical support and training on new tools to build self-directed teams capable of independent problem-solving and decision-making.
Required Qualifications
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Education: Bachelor’s Degree in General Accounting, Finance, Business Administration, Software Engineering, Data Analytics, or a related field.
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Work Experience: Minimum of 1+ year of hands-on experience developing business automation solutions (such as SAP Gui Scripting, UiPath RPA, VBA, Google Apps Script, Java, JavaScript, or Python).
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Language Skills: Fluent English proficiency in both written and verbal communication.
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Technical Proficiency: Demonstrated experience working within an SAP environment, Microsoft Office / Google Workspace, and data analytics tools.
Preferred Qualifications
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Experience with specialized enterprise tools such as Instabase (OCR), Domo, Google DataStudio, or generative AI/LLM applications (e.g., ChatGPT).
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Practical knowledge of software development principles using languages like .NET or Java, along with data mining techniques.
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Proven project management skills and experience performing root-cause analysis on complex process bottlenecks.
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Strong collaborative mindset, excellent stakeholder communication skills, and demonstrated team leadership principles.