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LOB Reporting & Analytics Manager page is loaded. LOB Reporting & Analytics Manager. Alternatively, will accept a Master’s degree in computer science, information systems, or related technology field of study with two (2) years of experience in information technology involving data analytics including Python, SQL, Power BI and Tableau.
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Experience required in software engineering, Java, Python, Power BI, OBEE Reporting, Snowflake, SQL, and Selenium. Strong database testing experience, OBIEE reporting, Snowflake, SQL, Some UI testing with Java and Selenium.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Oversee and train staff who systematically review agency data and perform complex analyses using systems such as EDW, MDW, SFARS, and ACRIS and use tools such as R, SQL, Excel, ARCGIS, and GBAT.
$94,715 - $123,322 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Use of SQL Server database, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), and Power BI will be required.
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Advanced Excel/VBA and SQL is a plus. Team member focused on achieving excellence in Investment Reporting for a trillion dollar global asset management firm. Stays abreast of investment reporting capabilities and solutions across the asset management industry to ensure NTAM is competitively positioned.
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You will manage people leaders and seasoned high-performing technologists, who design, build, and administer the Power BI and RAMP solutions, including technologies such as SQL Server Reporting Services, SharePoint Online, custom applications, and other vendor applications in our Azure platform.
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Experience with Report Development using SQL Reporting Services (SSRS) Learn the OSUF business model and best practices for data analysis and mass communication practices using SQL. Snowflake, Tableau, ascend, Salesforce, and Marketing Cloud Email platforms to provide daily operational support for business users and campus partners.
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3+ years of progressively responsible experience in relevant work, especially using programming languages (Python or similar, SQL), statistical software (Stata, R, or similar), ALM software (QRM or similar) and web development languages (HTML, CSS, etc.
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Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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The Business Intelligence Developer supports and expands the fundraising team’s business intelligence solution(s), primarily a custom data warehouse built in SQL Server, and a suite of reports in Microsoft’s SQL Server Reporting Services and Microsoft Power BI. They will play a critical role in all phases of the solution’s life cycle.
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The VP, Risk Management and Reporting and reporting role is responsible for the design, development, and delivery of reporting and analytics to help RMC manage its business. See Yourself as a VP, Risk Management and Reporting.
$137,819 - $226,400 a yearFull-timeRemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Strong SQL skills, ETL/ELT validations in Oracle, reporting tools (OBIEE/Microsoft Power BI), Snowflake, or PostgreSQL, programming languages (Python or Java), trading or financial applications.
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Microsoft SQL Server stack (Reporting Services, Integration Services, Analysis Services and Power BI). Working with Microsoft SQL Stack e.g. SQL Server 2016 or higher, SSAS, SSIS, SSRS, MDM, Power BI.
$77,250.1 - $113,943.15 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle.
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