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Required Qualifications:
· Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 7+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
o OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
o OR equivalent experience.
• 7+ years, data analytics with supply chain domain skills
• 7+ in in data management driving analytics product solutions for supply chain.
• 7+ in in data management driving analytics product solutions for supply chain
• Understanding of cloud supply chain process would be an added advantage
• Good Understanding of ERP planning/management data across Master and Transactional Data modules
• Ability to understand, define and formulate business and executive metrics through connected data mechanisms
• Strong understanding of supply chain process and master data interconnects
• Proficiency to collaborate on development of Data & Business intelligence tools (Pysparc, PowerBI) proficiency
• Strong competency with business data quality implementation of data ecosystems such as data lakes, data warehouse, etc.
• Strong verbal & written communication skills, with the ability to break down complex topics into simple solutions and the ability to tell a great story that rallies all stakeholders
• Innate curiosity and ability to self-start in an ambiguous and changing environment
• Customer and data obsessed, always learning, and refining you plan to deliver user insight and maximum business impact
• A sense of personal ownership and accountability, together with the ability to manage deadlines and internal stakeholder expectations
• Develop and operationalize data/metrics (e.g., requirements to business results/outcomes)
• Interpret data and analyze how assets are performing across CSCP: usage, trends, gaps, internal customer feedback
• Assist on Co-ordinating with Data governance PMs to understand holistic data landscape and need for DQ to create a holistic framework to understand DQ need
• Review and organize requirements, design, validate, verify information, and identify solution options primarily to create data quality frameworks and products
• Validate solutions to meet business needs and requirements, remove blockers or barriers to adoption and realize outlined benefits
• Translate requirements between technical system/software design stakeholders to supply chain business operations subject matter experts
• Create data analysis and enable developing common data solutions for all CSCP data needs.
• Represent the DQ team in leadership forums to present roadmap, report progress and highlight key issues
• Deep dive into business process and technical details and synthesize into clear visuals for executive summary and detailed process and data flow documents to communicate at all levels
• Establish Connected and Common Data model frameworks and lay out clear options for decision making and ownership representing various stakeholder views.
• Ability to navigate highly matrixed organization to commit to deliverables, due dates, and clear accountability for action follow up
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