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To manipulate data and draw insights from large data sets2+ years of experience visualizing complex data in popular frameworks or platforms (such as ggplot, Matplotlib, Plotly, Bokeh, Altair, Power BI, Tableau, Grafana, etc.
$94,300 - $182,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Risk & Data Modeling: Build robust models to mitigate credit risk for product serviced by Banking and Investment Services, including delivery of model validation documentation and on-gong requirements imposed by Enterprise Risk Management Model Review.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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Analytics and Data Platforms (ie: Google Analytics, Adobe Analytics, Segment, Tealium, etc.) Have held some combination of the following roles in a digital marketing context: data analyst, data engineer, analytics lead, data scientist, or digital marketing manager.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), and Garrett Camp (Uber co-Founder.
$16 - $21 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Loss Prevention Specialist leads the effort to efficiently and effectively provide security services and asset (lives, buildings, equipment, inventory, data, & intellectual property) protection in a designated fulfillment center.
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Continue to update any reporting created and or create new reports on Google Looker Studio, Tableau, Databricks, and Excel. 3+ years' experience as a Data Analyst, Social Media analyst preferably with a focus in Digital Marketing Analytics, social media analytics or business analytics.
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If you are a New Graduate Nurse with less than 12 months of experience, please visit the main job search page and use keywords RN New Grad to search for opening. Reviews diagnostics and laboratory data and reports abnormal results to the physician(s) and other appropriate caregivers.
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Experience with front-end tool implementations (Tableau, Qlik, Spotfire, etc.) Experience in providing Data Governance and Master Data Management solutions. Experience with Predictive Analytics, Machine Learning, Artificial Intelligence.
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Analytically driven and exposure to various tools and technologies, including relational database (SQL), BI (Alteryx, Tableau), statistical (SPSS, R), web analytics (SiteCatalyst, Google Analytics.
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The SS&C team conducts descriptive research, medical chart review validations, and pragmatic research using the FDA Sentinel Common Data Model (SCDM), Sentinel and Distributed Research Network (DRN) tools, Observational Medical Outcomes Partnership (OMOP) CDM, Patient-Centered Outcomes Research Initiative (PCORI) CDM, and Aetna’s Enterprise Data Warehouse (EDW.
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Expert knowledge of Azure tools and services centered around data and analytics (Data Lake, Data Factory, Azure Databricks, Azure SQL). - Build data visualization reports and tools for self-service consumption using visualization tools like Power BI and Tableau.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big TableProven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS/Microsoft Azure/ Google Cloud) Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling.
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