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You're experienced with languages used to manipulate data and draw insights from large data sets (e.g. Python, R, SQL, etc.) As a Data Scientist at Walmart Global Tech, the mammoth scale and volume of our global data is virtually limitless.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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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Leads the identification, development, and socialization of actionable category, consumer, and marketplace insights using multiple data sources including sales data, customer-specific data, macro and industry trend data and general market research to understand consumer behavior, brand performance, and customer opportunities.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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This role involves making sure that the data solutions are scalable, repeatable, and effective in delivering insights and analytics to the business using Microsoft technology stack and Databricks.
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ML, Data scientist, etc. Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools.
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Experience running spark/hadoop workloads using Dataproc, Dataflow, Cloud composer, EMR, HD Insights or similar. Proven working expertise with Big Data Technologies Spark, PySpark, hive, and SQL.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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3+ years of experience in consumer goods, retail, or syndicated data with a focus on category management, sales, business analytics, or shopper insights. You will create spreadsheets, databases, and presentations that communicate the raw data into actionable insights for the business issue.
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Demonstrates expertise in writing complex, highly optimized queries across large data sets • Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery.
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About You10+ years experience in CPG industry, Healthcare experience preferred with a minimum of 3 years Walmart Category Management and Shopper Insights experienceAbility to analyze large sets of sales and shopper data, translate the insights into tactics, and present category growth opportunities to the retailer in a compelling way that drives actionStrong collaboration skills across multiple functions- National Account Managers, HQ Category Management, Sales Strategy, Digital COE, etc.
$142,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to fully manage DIY shopper surveys including questionnaire writing, survey programming, data analysis, and actionable insights-generation, primarily through the Luminate Customer Perceptions platform.
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The Category Development Manager (CDM) is responsible for translating category management principles into action through data analytics and consumer / shopper insights. Advanced analytical skills and experience transforming multiple sources of data into actionable insights for Category Growth.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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This individual provides insightful and prescriptive analysis of available omnichannel resources including retailer-specific data, syndicated data, internal Sargento data, category and shopper insights and industry studies.
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Data Processing: Develop and implement data processing pipelines using Apache Beam, Apache Spark, or other suitable frameworks to transform and cleanse data for analysis. Data Integration: Integrate data from various sources into GCP using services like Cloud Storage, Cloud Pub/Sub, Dataflow, and BigQuery.
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data scientist insights jobs in Centerton, AR
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