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Proficiency in Microsoft Azure cloud services, particularly Azure Data Lake Storage, Azure Data Lake Analytics, Azure Databricks, Azure Synapse Analytics, and related technologies.
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Passionate about data, analytics and digital combined with a good solid knowledge of traditional media (television, OOH, radio, etc.) ·Deep knowledge and experience with multi-channel channel marketing, with an emphasis on Paid Social, Video (Linear/FEP/CTV), Programmatic, and Paid Search.
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Utilize HubSpot's analytics tools to monitor campaign data, conversion rates, lead generation, and other key performance metrics. Main duties and responsibilities: Utilize Google Analytics and other relevant tools to collect and analyze data related to website and app traffic, user engagement, conversion rates, and other key performance indicators.
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Select and run reports from data warehouses and reporting systems, including but not limited to, Moffitt Institutional Reports Repository (MRR), Analytic Web Player (AWP), SQL Serving Reporting Services (SSRS), Power Business Intelligence (BI), Oracle Analytics, and Spotfire.
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Extensive experience on Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical services, Azure HDInsight, Big Data Technologies (Hadoop and Apache Spark), and Databricks.
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc. Good experience with message driven software patterns (Kafka, MQ) and big data technology ( Hdfs, Hive, Hbase, Spark, Impala, Zeppelin, Jupyter, Cassandra, Elasticsearch, etc.
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This function leads the analytics, data, and modeling team within FCFP, operating in partnership with Business and Enterprise Technology, Financial Crimes and Fraud Prevention Operations, Policy, Risk, Audit, and multiple stakeholders at all levels of management.
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Reporting to the Vice President and Chief Information Officer, UF Information Technology is comprised of eight departments: Academic Technology; Applications, Development, and Integrations; Business Center; Customer Experience and Resource Planning; Data Platform and Analytics; Information Security Office; Infrastructure and Communication Technology; and Research Computing.
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Support the adoption of Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Micro-Services. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at hr@innovasolutions.com.
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Experience with Machine Learning and Data Analytics; Virtual Reality; Cloud technologies (AWS, Azure, GCP); and 3D Modeling a plus. Must comply with all company security and data protection / usage policies and procedures.
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Category: Client Data. At least 3+ years' experience within KYC/AML or similar Controls Environment. The WKO team supports all aspects of Client Onboarding to include the fulfilment of Anti Money Laundering (AML) and Know Your Client (KYC) requirements.
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Delivering and managing the enterprise-wide, Identity and Access Management program to address Authentication, Provisioning/Deprovisioning, Role Management, Red-Forest Management, Session Management, Password Vaulting, Privileged Account Management, Access Governance, Single Sign On, IAM Analytics, PKI and Certificate Management, User Experience, and API Management.
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Expertise in analysis of mainframe capacity / performance data (SMF, RMF, CICS, DB2, MQ) The Principal Capacity Planning Engineer is skilled in which types of data are used in Capacity Planning, as well as the sources and tools used to collect, validate, and then process required data.
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Our ideal candidate loves digital marketing, strategy, data, Google Analytics, and discussing the ever-changing landscape of Meta ads, Google ads, SEO, etc. Perform analysis of Digital Marketing related performance analytics and other data sets to determine campaign delivery, performance trends, conversion rates, or other key success metrics to report/communicate regularly to ensure client objectives are met.
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