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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
$94,000 - $121,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Depending on the needs of the client you may also use SQL and Python and work with cloud services such as AWS and Azure as well as modern database technologies such as Snowflake and Databricks.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
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5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion.
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The ideal candidate will have a strong background in data engineering, including experience with SQL Server, ETL processes, data modeling, and cloud platforms. Working experience with Snowflake / Alteryx is a plus.
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SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation's leading not-for-profit Medicare Advantage plans, serving more than 270,000 members in California, Arizona, and Nevada. Experience in Deep Learning Libraries, such as tensorflow or pytorch is perferred.
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5+ years of experience in managing and troubleshooting data and analytics platforms, such as Tableau Server, Alteryx Server, Databricks, Immuta, and Power BI. 5+ years of experience with cloud technologies, preferably Azure, AWS or Google Cloud.
$93,300 - $212,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Designs specific tool implementations, understanding both Tableau and Alteryx performance (including server) and cloud compute performance requirements and expectations. Proficiency in Data Analysis, AWS Redshift, AWS S3, SQL, Python, Alteryx, Tableau preferred.
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Proficiency and prior experience with Oracle EPM Cloud, Alteryx Designer and Server, JD Edwards and other ERP systems is a plus. Build and maintain Alteryx workflows using Alteryx Designer and Server.
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The Financial Systems Sr Analyst will join a talented global team of tax, accounting, finance, and data professionals and play a critical role in leveraging data to drive business value, improve decision-making processes, and gain a competitive advantage in today's data-driven world.
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Proficiency in SQL or other coding languages and database solutions (PostGreSQL) is a plus. Assist with the extraction of financial data from consolidations tools and other ERP systems. Bachelors degree or higher in accounting, finance, or data analytics.
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Proficiency and prior experience with the Microsoft Suite of applications and tools including, but not limited to SharePoint, List, Forms, Power Automate, Visio, Teams, and others. The ideal candidate will enjoy a challenging environment that provides the opportunity to showcase their problem-solving skills, to identify data-related issues and develop appropriate solutions.
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To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards.
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2+ years of experience in data analysis, preferably in a professional services or corporate tax environment. Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
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Identify and implement process improvements to enhance tax process efficiency and effectiveness, including tax automation and data analysis initiatives. Analyze large datasets, draw meaningful insights, and make data-driven decisions.
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