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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Experience in extraction, transformation and management of large quantities of data using such tools as VBA, SQL, Microsoft Power BI. Experience with Microsoft Power BI, or PowerPivot.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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3+ years data visualization (Plotly, Power BI, Tableau, Matplotlib, etc.) Database/Cloud (Databricks, Spark, Microsoft SQL, SAP HANA, Microsoft Cloud) Facilitate strategic decision-making by applying quantitative methods such as machine learning/statistics and fundamental modeling (e.g. chemistry, physics, economics, etc.
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Solid understanding of Power BI Premium features and capabilities, including Power BI Administration, data modeling, capacity management, and AI-driven insights. Design, Develop, optimize, and maintain Power Apps, Power Automate Flows, Power Pages, and Power BI dashboards solutions.
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Strong skills in data analysis and modeling, proficiency in Excel, and experience with visualization tools (e.g., Microsoft Power BI) preferred. Strong skills in data analysis and modeling, proficiency in Excel, and experience with visualization tools (e.g., Microsoft Power BI) preferred.
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1+ year work experience designing, developing, publishing and maintaining business intelligence solutions using Microsoft Power BI. This individual will extensively utilize their power bi, data warehouse/modeling, and data analysis skills to further develop the Valiant BI platform into a scalable and performant cross-BU analytics platform.
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Experience with data ingestion and visualization capabilities, such as Microsoft Azure (ADF) and Power BI. 7+ years of experience in design and implementation of enterprise data store, data warehouse, data governance, data quality management, real-time data ingestion, data modeling, and metadata management, in tools such as Azure Synapses or Snowflake.
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Microsoft Power BI Data Analyst Certification. Utilizing Power BI, you will integrate data from various sources such as SQL Server databases, Excel, QuickBase, SharePoint, and others to generate reports for project teams and executives.
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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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Experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis.
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Be an active participant in the Microsoft Power BI and Power Platform COEs to efficiently evolve data practices and strengthen tool adoption at SETF and JM Family. This role requires strong knowledge and understanding, preferably hands-on experience, of data management principles, reporting and visualization techniques, business process improvement, and Citizen IT tools, mainly Microsoft Power BI, as well as other tools such as SAS, Cognos, and Tableau, in designing, developing, and maintaining efficient solutions within SETF’s data environment.
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In conjunction with other analytic team members and partners in IT, aids in the deployment and maintenance of one or more of the following areas: effective data structures (i.e. star schema facts and dimensions, cubes, views, graphs), ETL processes, BI infrastructure (i.e. SQL Server), data visualization (i.e. Power BI), and/or analytic tools.
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Experience with Microsoft Stack including but not limited to SharePoint, Tableau, Power BI, Business Central, SQL, Python, or R for data manipulation, reporting, and analysis. This includes skills in statistical analysis, data modeling, data visualization, and data interpretation.
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Expertise with Microsoft Power BI data visualization platform; Microsoft Power Platform experience bonus Expertise in data analytics, data presentation, and KPI/dashboard development Expertise in user interface/user experience evaluation/design/development Travel Requirements: Up to 75% in the office and/or travel to clients.
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