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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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The GFC Data Team is responsible for driving successful adoption of company's Data Management Policies and Financial Crimes Standard (FC standard) within GFC and ensure sustainable execution of the enterprise data strategy in support of critical business processes in Anti-Money Laundering (AML), Economic Sanctions and Financial Crimes Risk Management.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Analyze large behavioral data sets to create a complete picture of the Mailchimp partnerships, how they help grow our business, and where we see opportunities for optimization.
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Inviting applications for the role of Senior Principal Consultant-Big Data environments (cloud, on-prem, hybrid). End to end data and analytics solutions design experience using cloud technologies- AWS S3, Spark, EMR, Data bricks, MPP databases, Redshift/Snowflake right from Ingestion to Transformation to Consumption using various methods including API delivery Minimum Qualifications: Graduation/Bachelor’s.
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Working knowledge of Hadoop, big data platforms, and data lakes a plus. Spearhead data literacy within Customer Strategy & Solutions organization; create change management plans to promote data science; build momentum for analytics being critical to the cultural DNA.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
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We are seeking a seasoned Data Science leader who is an expert at connecting the dots between business, data and tech, can lead a global team of data scientists, operate with a startup mentality to deliver new products and establish our experimentation framework in Humana Pharmacy Solutions.
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MarTech tools / knowledge, Adobe Analytics, Fullstory, Qualtrics, Microsoft Power BI, customer and network data, Digital Data Analytics, Adobe Audience Manager (DMP) This candidate needs to use data analytics & modeling skills to analyze digital, operational, session replay, VOC, customer call center, and other data sources to deliver Insights that will improve digital experiences at UPS. He/She will need to understand how audiences are created in Adobe Audience Manager (DMP), and how to leverage these audiences for robust Insights.
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Using advanced techniques like Computational Fluid Dynamics (CFD), you will collaborate closely with our data center design and construction teams as well as internal and external stakeholders, helping to design and efficiently operate OCI and Oracle data centers.
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Function as a subject matter expert in multiple service areas of data security and operations - Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Alternatively, Bachelor’s Degree with at least 2 years’ experience as a Data Analyst, Data Scientist, or Research Assistant. Proficiency in applying various mathematical and statistical models to include, but not limited to: discrete event simulation, factor analysis, genetic algorithms, Bayesian probability models, hidden Markov models, sensitivity analysis, sampling, probability, multivariate data analysis, regression, PCA, time-series analysis.
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Experience with data storage technologies and query languages (Neo4j, Redshift, S3, Hadoop, etc.) Flint Hills Resources (FHR) is looking for a Data Architect to join our Enterprise Data Enablement team.
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data job Title: hadoop consultant in Atlanta, GA
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