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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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6+ years of accounting and/or indirect tax experience, preferably with exposure to retail, Big 4, or mid-tier firms. Proficiency in tax data analysis and leveraging data to optimize tax strategies.
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Fluent in interpreting shopper and category insights research and a strong understanding of syndicated data (IRI or Nielsen) and panel data (e.g. Numerator) As the Senior Category Insights Analyst you will have the opportunity to work with the Senior Category Insights Manager to shape category growth plans based on key data, shopper and category insights and trends.
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This individual will serve as a category expert, working with the Manger to lead assortment assessments, business processes and have tool capabilities across key shopper / category systems such as POS,Syndicated Data, JDA Space Planning Software.
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Expertise in the Category Management process and proficient in syndicated and panel data as well as familiarity with pricing, promotion and assortment optimization software knowledge and experience working with customer POS data systems (experience with data sources such as Nielsen, IRI, NPD, Numerator, dunnhumby, Spectra/demographics.
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Supported clients / projects pertaining to Data Security & Privacy involving HIPPA, GDPR and PCI DSS? , systems, and infrastructure including project management, change management, access management, and data processing operations such as job scheduling and monitoring, problem management, and backups.
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The senior analytical chemist will utilize strong analytical skills that provide data driven conclusions to assist in research and development project objectives from idea conception through product commercialization.
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Developing, running and evaluating data science and predictive analytics models for detection and analysis of patterns and trends in very large datasetsDesigning, coding, implementing, and continuously improving data pipelines, predictive and prescriptive analytical models to help Client's customers maximize ROI.Performing testing and verification of analytics created to ensure consistent accurate results.
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Experience using Azure tools Notebooks, BYOML (Bring Your Own Machine Learning), or Open AI (Artificial Intelligence) is a big plus. Minimum five years of recent experience with data pipeline architecture and implementation with a focus on cybersecurity data; in-depth knowledge of Microsoft Sentinel and other relevant security technologies.
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Define and implement data integration strategies for importing and exporting data into/out of Salesforce Marketing Cloud. Develop and maintain Salesforce Marketing Cloud integrations with external systems, data sources, and APIs.
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Technical skills to include space management software, syndicated and panel data sources, data analysis and visualization tools, Microsoft Office. On the Walmart Advisor Team, we strive every day to be an indispensable partner to Walmart by providing strategic, consultative data-driven guidance and leadership to fuel category growth as advisors.
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Are you a Structural Engineer P.E. professional seeking a top-notch firm to join? NCEES Licensed Professional Engineer – Civil/Structural. In this role, you will be completing structural design/analysis, 3D modeling, drafting/design focusing in structural-discipline tasks on industrial projects featuring steel, concrete, masonry, and light gauge metal construction.
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Metova is looking for a QA Test Automation Engineer that has 2-3 years of experience in automation testing. Metova's engineering team is looking for a QA Automation Engineer to join our growing team.
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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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Proficiency with SQL and relational databases, data warehouses, and BigQuery. Proficiency in collecting data from different data sources, data cleaning, preprocessing, and feature engineering.
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big data jobs Title: devops engineer Company: Local Staffing in Pea Ridge, AR
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