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Expertise in business intelligence, data visualization and dashboarding platforms (e.g., Tableau, Dataiku, Looker, etc.) 6+ years in a data analyst, business analytics engineer, business intelligence analyst or data analyst or related role with SQL experience and object oriented programming/scripting such as Python.
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35% - Data extraction, preparation, and visualization - Create and update visualizations, reports and dashboards from data warehouses and other data sources using Tableau and Tableau Prep software or other SQL applications for use by committees, departments and leaders to inform decision-making.
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Experience in generating dashboards and manipulating data visualization KPIs (Power BI, Tableau). Migrate infrastructure to GCP/Other products (data pipeline, visualization, reporting.
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Demonstrates intimate-level abilities of applying a range of technical, digital, and other professional capabilities by:Utilizing a high degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions;Utilizing data extraction/transformation, analytics, and visualization approaches;Employing business intelligence software (e.g., Power BI, Tableau, etc.
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Must have 5 years of experience with each of the following skills: Managing technology and business projects; Data-oriented experience in transformation programs and regulatory remediation for financial services; Business process reengineering and business modeling concepts including business systems development and data analysis; and Data analysis, advance SQL, data visualization including Tableau and MS Office.
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The candidate must have experience in computer applications, including SPSS or other statistical software, SQL, and Tableau or other data visualization software; and the ability to work with various information systems, including faculty, student, and human resources databases.
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Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker, Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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Experience with storytelling through data (logical reasoning, data visualization, communication). Familiarity with SQL and ability to transform raw data into useful datasets.
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Proven advanced expertise in quantitative analysis, financial modeling, and data visualization tools (e.g., Excel, SQL, Python, Tableau). Support the rest of the finance team to gather and analyze data from multiple sources for the purposes of billing verification, financial reporting, accounting and settlement reconciliation, etc.
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Experience with data visualization tools including Tableau, Google Data Studio, Domo, Excel, etc. We are looking for a Vice President, Analytics & Insights to derive and deliver data-driven, actionable insights to answer client business challenges while also demonstrating the business impact of our work.
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Strong knowledge of and experience with reporting packages (Power BI, Qlikview, Tableau, etc), databases (SQL, etc), and programming languages (VBA, Python, Javascript, etc) This role is to join the quantitative analysis and technology team at one of Europe’s leading financial institutions to help build out the data and visualization tools required to support the business in all parts of the investment lifecycle.
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Expert hands-on experience with multiple platforms: Google Analytics (or similar), Google Marketing platform, OSAT tools, UX tools, Market Research, data management and transformation (MS Excel, Access, SQL) and analytics visualization platforms (Power BI, Tableau.
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Strong command of SQL, Tableau, and Snowflake for effective data analysis and visualization. Identify and implement enhancements to improve internal user experience and drive operational excellence, including creating dynamic Tableau dashboards for data-driven decision-making.
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Experience with data visualization tools such as Qlik, Tableau and/or PowerBI. Experience with scripting and data manipulation languages such as SQL, Python, Spark, Scala, R, Java.
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Data Visualization such as Tableau, Power BI, and Sigma; Data Engineering such as MS Azure, AWS, & Snowflake; Business Analysis such as JIRA, Confluence, SQL, and Alteryx; and.
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