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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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What You’ll Need to SucceedEducation:Bachelor’s Degree Required Experience:Category Management and/or CPG Sales experience (2-5 years) Skills: - Have working knowledge of space analytics and the tools to support it, such as JDA Space Planning / POG software- Demonstrate strong data storytelling capabilities through strategic use of tools such as PowerPoint Charts and/ or Mekko.
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Actively uncover business opportunities with deep-dive analytics using various resources including, but not limited to: Retailer POS data, Syndicated Data (Nielsen/IRI), Marketplace and HH Panel Assessments to independently discern trends and provide insights-based recommendations to deliver sales objectives.
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Incorporate advanced consumer data (Macro Level Insights Market Research, Consumer Decision Tree, Household Panel data, customer shopper data, Luminate/Madrid, rich mix, JDA) into analyses as relevant.
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Architect, Design, develop, implement and tune distributed data processing pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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TeamInfluence the line review process with shopper insights and data to make recommendations on. Strong familiarity with syndicated data metrics and software (e.g., NPD, IRI, Nielsen, Numerator)Prior experience analyzing retailer data and presenting key findings and recommendations to senior level executives.
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Experience in data management concepts, relational and NoSQL databases, data warehousing, WMS/ERP platforms, and data analytics tools (i.e. Big data technologies like Hadoop and Spark are a plus.
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As part of EY Americas Data Protection (Confidentiality, Data Privacy) function, you will assist in the development, implementation, and monitoring of various activities within the EY data protection program.
$69,200 - $121,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Proficiency in Category + Shopper Insights Toolkit across Scan Data (Luminate, Nielsen Discover), Panel Data (Luminate, Numerator, Nielsen, Circana) Story Telling - Skilled in creating clear, informative, and visually appealing data visualizations that thoughtfully link data insights to strategic recommendations for the business.
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Strong expertise with syndicated data (IRI/Nielsen) and Shopper Insights portals is preferred. Conduct robust customized retailer analysis using national research, category management capabilities, analytical tools, and data visualization to identify and communicate business opportunities or challenges.
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Comfortable using business intelligence or data visualization systems (EX: PowerBI, MicroStrategy, Tableau, Domo, Looker, etc.) Project Management Skills- oversee category analytics and shopper insights projects from start to finish- set scope, identify right business partners or datasets, analyze data or research, draw actionable recommendations, and communicate in a concise format.
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They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. Sonar Technician, Submarine (STS) STSs specialize in underwater acoustic technologies.
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Utilize SAP Fiori to create intuitive and user-friendly dashboards for data visualization. Design and implement data analytics solutions using SAP Fiori and SAC. As an Analytics Practitioner, you will be responsible for utilizing your expertise in SAP Fiori and SAP Analytics Cloud to develop and implement data analytics solutions.
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Experience understanding, utilizing, and employing syndicated data, customer card/POS data, and panel data to achieve internal and external wins through sales and share growth (experience with data sources such as Nielsen, IRI, NPD, Numerator, 84.51, dunnhumby, SPINS, Stratum, Spectra/demographics, SPSOneScreen, Symphony Retail AI/EYC.
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data job Title: architect Company: Usaa in Bentonville, AR
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