This person will be accountable for process mining and reporting analytics to ensure GBS business process and technology capabilities are effective, efficient and adhere to audit requirements.
Further, the data scientist will focus on analytics development and insights to drive successful transformational activities related to functional areas within GBS;
including but not limited to, Accounting-to-Report (ATR), Procure-to-Pay (PTP), Order-to-Cash (OTC). The incumbent must possess a combination of advanced analytical thinking and data mining skills , experience in data architecture design and development in addition to experience with algorithms and coding.
This technical role will create and maintain a robust data architecture for process mining, develop KPI metrics, automations, and analyses to use for sustained problem-solving.
ESSENTIAL FUNCTIONS :
Accountable for analyzing and interpreting global GBS processes in order to influence strategic and tactical efficiency recommendations.
Leverage advanced technical and functional expertise to identify insights and bring to life through development of data analyses and visualizations : Celonis PQL (SQL) metrics and analyses, Power BI / Query, and Tableau
Leverage analytical insights and analysis to drive operational improvements and transformations away from Excel-based tools / Tableau dashboards to efficient, standardized, and sustainable analyses
Influence and develop new strategic automations and leverage machine learnings through Celonis platform
Leverage strong technical acumen to advance data architecture strategy, accuracy, and availability
Develop and maintain robust data analytics capabilities to optimize centralized and self-service reporting needs
Partner with GBS process teams, DTS Analytics team, vendor and collaborate cross functionally with business units outside of GBS to enable robust data analytics
Identify and optimize complex operational processes through Celonis process-mining analyses development
Use data to align, develop and mobilize GBS best practices that deliver improved service, reduced distribution cost & complexity, and enable inventory reductions at K-C and the customer.
Strong project management knowledge to develop, lead and execute tasks including timeline management, risk assessment, and action item management to ensure delivered results
Build strong sustainable business relationships at various levels throughout the organization and key customers
MINIMUM REQUIREMENTS :
Education required :
Bachelor's Degree (B.S.) in statistics, math, computer science, finance, or related quantitative field. MBA degree with concentration on related field is a plus.
Experience in Finance & Accounting and understanding of at least on of following processes : OTC, ATR, PTP processes
Cumulative 7 years of experience in global business services and data science, analytics and / or data modeling.
Hands-on experience with Celonis software including Process Analysis, Transformation, Event Collection, Action Flows and task mining.
Advanced analytics, data visualization, and reporting dashboard design and development experience
Knowledge of or willingness / ability to learn new analytical and automation tools
Demonstrated leadership in executing innovative solutions through process and technology
Ability to influence without authority
Willing to challenge the status quo and facilitate different perspectives to drive solutions
Ability to gather and comprehend specific business requirements, providing recommended solutions; and, swiftly transform them into technical solutions
Excellent visual and design skills with data representation and presentation
Ability to work in a virtual team that will function across regions, cultures, time zones, reporting lines and may extend outside the K-C organization, including suppliers, partners and customers
Preferred Experience / Qualifications :
Strong technical / analytic skills and experience in multiple platforms (SAP R / 3 and Business Warehouse (BW) reporting, Tableau, Power BI, Power Query and Microsoft Power Platform tools)
Experience with statistical modeling, advanced coding skills (Python preferred) and Excel functionality
Experience with relational database structure and design, SQL, SAP HANA / VDMs
Demonstrated experience in strategic problem-solving, analytical thinking and influence
Work independently with minimal supervision and demonstrated proficiency in : oral & written communication, interpersonal skills, adaptability, change management and project management.