We are seeking a highly motivated Manager, Analytics to join our Data Science and Analytics team within Global Supply Chain. This is an individual contributor, remote (US – based) position and will focus on broad data exploration, quantitative methodology and statistical modeling to enhance our supply chain responsiveness, agility and optimization. We are a product-minded team who blends elements of UX design, Product Strategy and Data Mining to build user-centric tools that bring insights into the evolving complexities of our supply chain. The successful candidate will thrive in a fast-pace environment, has strong communications and consulting skills and loves problem solving using data.
Responsibilities Of The Manager
Serves as a thought partner to global supply chain functions including Network Planning, Procurement, Materials Planning, Logistics and Distribution to understand external variables, learn internal landscape and develop relationships to successfully enable the delivery of analytics
Discovers new use cases for applied data science and machine learning opportunities by exploring diverse datasets, assessing feasibility and designing prototype models.
Translate problems into specific analytical questions and form hypotheses that can be answered with available data using statistical methods or identify additional data needed
Perform hands-on data analyses and modeling to develop insights and recommendations to inform decisions across the supply chain portfolio
Delivers insights via well-designed, user-friendly and visually appealing dashboards and reports
Build functional apps for advanced dashboards, scenario planning and interactive analysis
Develop data wrangling workflows and database objects designed for business consumption (semantic views)
Applies UX and Product Management approaches to ensure our deliverables evolve and continue to provide value over time
Preferred Qualifications
5+ years hands-on experience in analytics, data science or business intelligence
3+ years experience in supply chain, operations, procurement, consulting, life sciences or related field
Excellent skills with exploratory data analysis and modeling using Python (pandas, numpy, sklearn), R or SAS
Strong SQL skills for complex querying, analysis, and performance optimization
Demonstrated experience building interactive data visualizations using tools such as Plotly Dash, Quicksight, Tableau
Experience sourcing, merging and cleansing datasets using tools such as Databricks, AWS Glue, Alteryx, Python
Experience working on cloud platforms such as AWS (S3, Athena, Redshift, Glue, Sagemaker)
Practical experience using tools such as Github, Jupyter Notebook and Jira
Foundational understanding of data warehousing concepts, design, modeling and data engineering
Experience working with large scale ERP such as Oracle and SAP
Ability to work independently, initiate and drive work to conclusion
Exceptional communication and presentation skills across a diverse audience
Understanding of user experience design principles, product management and agile methodology
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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