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Proficiency with other components of the Microsoft Suite of products and stack such as Excel, Power Automate, Synapse, Azure Data Factory, SSIS, SSRS, SSAS, etc., is preferred. Looking for a Power BI Developer, Hybrid (Florida), Only LOCALS and Min 12+ years.
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Provide global functional leadership role for SQL Server database services covering SQL Server, SSIS, SSRS, SSAS products. Here’s a few of our awards: Fortune World’s Most Admired Companies & Top for Diversity and Inclusion Bloomberg’s Gender Equality Index (GEI) Human Rights Campaign Foundation, % score Corporate Equality Index , Disability: IN – % score Best Workplaces for Innovators, Fast Company CDP’s Climate Change ‘A List’ Our Benefits:BNY Mellon offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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2 years of experience utilizing data integration tools including Informatica, Talend, or SSIS. 2 years of experience working with data warehousing concepts and technologies including star schemas, snowflake schemas, and ETL processes.
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ETL: SSIS, IBM DataStage, Cognos DataManager. Individually satiates all new BI work demand while replacing Cognos with Microsoft Power BI to deliver interactive reports, cubes, real-time dashboards and scorecards (forecast and actuals.
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BI: Microsoft Power BI, Cognos, Tableau. Owns execution of the plan and roadmap for consolidation and migration of business intelligence assets and technologies and re-factoring for BI asset consolidation.
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DB: SQL Server, DB2, (SQL), Mainframe IMS/VSAM, In-Memory DB, NoSQL. Analytics: Python, R, SAS, SPSS. Hands-on business intelligence and data analytics engineering including the delivery of an automated deployment pipeline with quality control across all Gerber Life custom and proprietary technologies using all people, process and technology advantages across the enterprise.
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Partners with peer teams within the Application Development and Solutions Delivery (ADSD) department to convey the needs for data warehouse expansion for the purpose of advancing business intelligence and analytics capabilities for the company (data warehouse dimensionality with levels of aggregation and related metrics and analytics which serves as the trusted single vault of truth for the enterprise.
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2-4 years of development experience in Data Analytic technologies- Knowledge in Microsoft enterprise cloud technologies such as Dynamics 365 CRM, Office 365, Microsoft Azure- Strong experience in SQL and RDBMS technologies- Experience working in Agile project deliveries and delivering to tight timescales- Web API Experience- Knowledge of Azure DevOps (VSTS)- ETL, SSAS, and SSIS experience- SSRS Reporting knowledge.
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Individually performs hands-on discovery, data modeling, and development to deliver value through data engineering and encourages others to do the same by example. Quarterly on-site travel to work in offices located in White Plains, NY (Gerber Life HQ), Fremont MI (Gerber Life Operations) and / or Cincinnati, OH (Western and Southern Financial Group HQ.
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Cloud: Azure Analytics Services, Google Cloud Smart Analytics. The ideal candidate is an industry-proven, hands-on, large-scale, senior leader of business intelligence and data analytics by trade specializing in curating and converting disparate, complex life insurance data sets into decision-making business intelligence and analytics.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SSIS packages, and Dell Boomi. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, SSIS packages, and Dell Boomi.
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Ensures teams and individually adheres to all designs, policies, procedures and standards for data security and regulatory compliance. Typically requires 5 years collaborating with and leading a team of business intelligence and data analytics engineers utilizing Scrum and supporting tools (JIRA.
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Certifications & Licenses (i.e., Series 6 & 63, CPA, etc.) M.S. Computer Science or Management Information Systems. Typically requires at least 7 years of business intelligence and data analytics change management experience with at least 5 years in a leadership setting with executive level reporting experience.
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Typically requires 5 years of large-scale life insurance business intelligence and data analytics engineering experience. Must have the ability to simplify large-scale business intelligence and data analytics related needs to minimize total cost of ownership (ensuing overhead.
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