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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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Strong proficiency in Azure Data Factory, SSMS, Databricks, and Power BI.Strong proficiency in SQL and experience with relational databases and data modeling concepts. Create visually compelling and interactive dashboards, reports, and data visualizations using Power BI, enabling stakeholders to gain actionable insights from the data.
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BI tools (Power BI, Qlik Sense) and IDEs like Jupyter, with experience in leveraging available packages and libraries to accelerate time to market. 7+ years’ progressive business experience in marketing analytics, database marketing, data engineering and predictive modeling or strong academic background.
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Experience working with Power BI, Oracles Business Objects, SSRS, Tableau, Cognos, etc. Experience working with aspects of Microsofts Power Platform and Office 365 suite Power Apps, Power Automate, Power BI, Excel, OneNote, Planner, etc.
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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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Demonstrated proficiency in Python, R, SQL, Relational databases (Teradata, Oracle etc.) We serve as strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop.
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5 years of experience for additional software such as SQL, Tableau, Power BI, Python is preferred. - Experience with at least one major BI tool (e.g., Tableau, Power BI) and ability to develop advanced dashboards and reports.
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Proficiency in SQL, Excel (financial modeling), and Power BI is a must. At least 5 years of experience using SQL & Power BI in the workplace, including one or more of the following: corporate FP&A, business intelligence, corporate development, consulting, investment banking, equity research, private equity, or venture capital.
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SAIC is seeking a Power Platform Developer/Robotic Process Automation (RPA) Developer who will support a range of customers within and outside of SAIC, including government clients, by automating business processes via tools such as Power Automate and/or UiPath.
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Demonstrates a high proficiency in business facing technology tools as required: Informatica MDM, IBM Netezza, Snowflake, IBM Cognos, Microsoft SSRS, Microsoft Power BI. Experience with a broad range of database and business intelligence environments including: IBM Cognos, Power BI, Snowflake, Netezza, Oracle and SQL Server.
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Experience with BI tools (Tableau, Power BI, Looker) Good understanding of modeling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai) A&MPLIFY is a professional service consultancy combining the power of design, digital technology, and artificial intelligence to help clients supercharge value creation, agility and customer loyalty.
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Knowledge of web frameworks to build web applications (R Shiny, Dash) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka. Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras.
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Experience working with OBIEE, Tableau, MicroStrategy, Power BI, or other Data visualization tools. , Data Warehouse(Oracle), Data Lake, Master Data Management, Data Quality, Data Modeling, Data Analytics/BI, Data Enrichment, Security and Governance.
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DE designing large data sets and implementing pre-aggregations to avoid data consolidation as a part of larger data strategy initiatives; processing and preparing data for analytical insights using Snowflake modeling patterns; planning, designing, and implementing diverse Business Intelligence (BI) dashboards to visualize data using Power BI, Tableau, and MS Excel.
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Connect & extract data from files, databases (SQL Server), and cloud services (Azure, D365) using PL/SQL queries; data modeling (star schema, snowflake schema) of fact and dimension tables and create measures & formulas using DAX language for interactive and insightful Power BI reports.
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