Lead Data Analytics Manager
CurrentExperienced analytics professional helping to build tools and optimize processes for Nike’s supply and inventory planning optimization team.
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@nike.com
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1 phone found area 302
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LinkedIn matched
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Ryan Conklin is listed as Lead Data Analytics Manager | Supply Chain at Nike, based in Portland, Oregon, United States. AeroLeads shows a work email signal at nike.com, phone signal with area code 302, and a matched LinkedIn profile for Ryan Conklin.
Ryan Conklin previously worked as Lead Data Analytics Manager at Nike and Supply Chain Data Scientist at Kubota Tractor Corporation. Ryan Conklin holds Master Of Science - Ms, Business Analytics from Texas Mccombs School Of Business.
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AeroLeads found 1 current-domain work email signal for Ryan Conklin. Compare company email patterns before reaching out.
"I have no special talent. I am only passionately curious." - Albert Einstein. Einstein's quote succinctly states what drives me in my career, a curiosity that makes me want to understand product, business operations, and the consumer. I specifically use analytics, machine learning, scientific theory, and functional experience to analyze interesting questions and give actionable insights into my curiosities. This insight helps drive improvements and create processes and tools to help the business execute. I strongly believe in the power of people to achieve great things when they put forth deliberate efforts to improve and push themselves to new heights. As such, I am constantly pushing my boundaries by engaging with new people, ideas, and challenges, and am constantly reading and learning new material.
Listed skills include Data Analysis, Supply Chain Management, Big Data Analytics, Operations Management, and 17 others.
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Beaverton, OR, US
Experienced analytics professional helping to build tools and optimize processes for Nike’s supply and inventory planning optimization team.
Grapevine, TX, US
Part of digital transformation to create an analytics capability within Kubota's supply chain management organization by migrating reporting and other data processes from SAP BO and excel spreadsheets to a data warehouse system in Azure and PowerBI. Created numerous programs, models, and ETL pipelines to ingest data from multiple sources and solve problems.
Austin, TX, US
Used data science, statistical, and machine learning techniques to develop scalable merchandising solutions such as optimizing pro pricing and online product assortment for The Home Depot
Austin, TX, US
Courses:Intro to Predictive Modeling (R)Advanced Predictive Modeling (Python)Data Analytics Programming (Python, pandas)Supply Chain Analytics (R)Marketing Analytics IText Analysis (Python)Decision AnalysisDatabase Management (SQL, Hadoop/MapReduce)Learning Structures and Time Series (SAS)Stochastic Control and Optimization (R)Financial TechnologySocial.
St Paul, MN, US
Abrasives Systems Division:-Managed the supply chain component of the product life cycle for the coated abrasives portfolio.-Investigated issues regarding product availability and order fulfillment.-Analyzed inventory, sales, and service history to detect waste and optimize inventory decisions.-Led the capacity planning process for the division's critical.
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Ryan Conklin works for Nike.
Ryan Conklin is listed as Lead Data Analytics Manager | Supply Chain at Nike.
AeroLeads has found 1 work email signal at @nike.com for Ryan Conklin at Nike.
AeroLeads has found 1 phone signal(s) with area code 302 for Ryan Conklin at Nike.
Ryan Conklin is based in Portland, Oregon, United States while working with Nike.
Ryan Conklin has worked for Nike, Kubota Tractor Corporation, Blacklocus, Mccombs School Of Business, The University Of Texas At Austin, and 3M.
You can use AeroLeads to view verified contact signals for Ryan Conklin at Nike, including work email, phone, and LinkedIn data when available.
Ryan Conklin holds Master Of Science - Ms, Business Analytics from Texas Mccombs School Of Business.
Ryan Conklin is listed with skills including Data Analysis, Supply Chain Management, Big Data Analytics, Operations Management, Microsoft Excel, Business Intelligence, Python, and Teamwork.
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