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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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We are looking for a Data Operations Manager – a specialist / expert in Retail data handling, ETL, Data Mining, Data Warehouse Design and Management, Scripting / Programming, Building efficient data pipelines, querying large volume of data to extract actionable analytical insights to join the Media/Advertising Analytics team within the Brand Partnership Universe, that is in the spotlight with focus to turn rich data into actionable insights.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar.
$94,500 - $122,000 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks.
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Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse. Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta.
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Experience with Marketing APIs, Big Query or other Cloud Data Warehouse tools (AWS, Snowflake, Databricks, etc.) Because you love data, you have advanced knowledge of SQL, Excel, Google Data Studio/Data Visualization and enjoy working with SQL on a day-to-day basis.
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RRP maintains an integrated data warehouse that stores return data and taxpayer information for data mining, runtime scoring, scheme development and research. In depth knowledge of the PostgreSQL architecture and application data lifecycle management Experienced in PL/PGSQL, SQL code development, maintenance, and migration.
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Parts Warehouse Duties: Lookup, price, and purchase parts for on highway diesel trucks, off-highway, and mining equipment Fill requisitions, work orders, or requests for materials, tools, or other stock items and distributes items to technicians.
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Ensure the continuous improvement of data quality and completeness across Walmart's omni-business. Accurate and timely market data is critical to protecting our "Save Money, Live Better" promise, operating at low cost, and helping customers make purchase decisions.
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In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. Axient is seeking a Mid-Level Data Engineer to join our analytics team in Huntsville Alabama.
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Masters degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 4 years of relevant experience in data analytics, consulting, and/or financial planning & analysis role (MBA Preferred.
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