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Associates Degree or higher (prefer business analyst, computer science, engineering) - Passion for data, analysis, and problem solving - Experience creating data applications using citizen development tools (Power BI, Power Apps, SQL, SharePoint, etc.
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Ignite Digital Services (IDS) is seeking a skilled Data Analyst with a strong background in Power BI to join our dynamic team. Proficient in Power BI, including data modeling, visualization, and report development.
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Experience with MS Office, Adobe Premiere Pro, Power BI and other data visualization tools a plus. Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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You should be proficient in Tableau, Google Looker, Power BI, and other visualization tools, with strong SQL skills for data manipulation and querying. Proficiency in Tableau, Google Looker, Power BI, and other Visualization tools.
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Experience in data science, statistical analysis and modelling data using leading Artificial Intelligence and big data tools (e.g. TensorFlow, R, Python, Azure SQL Server & ML Studio, Databricks, Python Power BI, etc.
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Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc. Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security.
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Support data analysis, reporting, and visualization using tools such as SQL, Python, R, Tableau, and Power BI. Experience with big data frameworks and tools, such as Spark, Hadoop, Kafka, Hive, and Airflow.
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Business Intelligence/data visualization platforms such as Tableau, Power BI, etc. You will utilize your knowledge of geospatial data and analytics while using tools such as Geographic Information Systems (GIS), Python, and visualization/analytical platforms (ex.
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Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making. Data Engineer needs to have specifically expert technical knowledge of Python, AzureAI and RAG and platforms and software technology (ETL/ELT, SQL, PySpark, Power BI, Python), deep expertise in data management techniques, ability to drive effective support of data analysis and model management, and experience with IT project management practices.
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Power BI/Fabric Technical Consultant Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI, Excel) Bachelor's degree in Statistics, Mathematics, Data Science, or a related field.
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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI reporting tools, and Data Science toolkits. Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery.
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Preference given to Power BI6+ years of experience using Power BI Report Server, SSRS, or some other paginated data reporting tool6+ years of experience using SQL or other programming languages or tools to manipulate data5+ years of managing development teams (on-shore or off-shore) Preferred Qualifications: Machine learning, predictive analytics, or any AI experienceExperience with Procure to Pay or ERP systems such as Coupa, PremierConnect, Oracle Netsuite/Fusion/iProcure, SAGE etc.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others.
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Experience using reporting tools such as Tableau, Qlik Sense, or Power BI. Develop, maintain, and grow automated processes leveraging Excel, VBA, Tableau, Power BI, Python, Snowflake.
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power tools bi data science jobs Title: senior manager Company: American Express in St-matthews, South Carolina
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