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Advanced knowledge of data engineering and data preparation for analytical use in both ad hoc and data visualization projects (Using tools such as Snowflake, SQL Server, and Tableau Prep) Expert knowledge of an analytical programming language (such as SQL, Python, R.
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Business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau and Tableau Server, Alteryx, or SAS Enterprise Guide/Miner Programming languages Java or C.
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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Cloud IaaS Technologies (AWS, Google, Azure) Big Data (Alteryx, Hadoop, Splunk, ELK, PowerBI, Tableu) Network Technologies and Firewalls Database Systems (Oracle, SQL Server) Programming Languages (Python, PowerShell, Java, PL-SQL) Web Application Services (REST API, HTML, XML) Information Security Topics (Identity and Access Management, Cyber, DevSecOps.
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8+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server. 10+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server.
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Proficiency in business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, Tableau Server, Alteryx, or SAS Enterprise Guide/Miner. Direct experience with SQL programming and large database applications (e.g., Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop.
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Experience in analyzing data within relational database systems such as MS Access, MS SQL Server, and MySQL.Experience with ETL Tools such as Alteryx, Paxata, DataGuru or equivalent technologies, preferred.
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Experience working with data preparation tools (such as Alteryx, Datawatch, etc.) Intermediate level knowledge of Master Data Management (MDM) and Data Quality Management (DQM) The Business Intelligence (BI) Analyst delivers statistical and analytical support to key stakeholders (including leadership) by creating enterprise and ad-hoc reports.
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Hands on experience with programming languages including SQL, PL/SQL on cloud data platforms like Snowflake, Oracle, SQL Server and Netezza. Experienced in popular open-source and commercial data science platforms such as Python, R, KNIME, Alteryx, others is a strong plus but not required/compulsory.
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DE performing Extract Transform Load (ETL) on Cloud native data warehousing solutions using analytical tools (Alteryx) and programming languages (Python); building and maintaining data pipelines utilizing Python, CronTab, Linux server, and Jupyter Notebook; and creating scalable visual analytics dashboards using Tableau and Looker.
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Proven capability with MS Excel and relational database program(s) (e.g., MS SQL Server, SAS, MS Access, Tableau, Alteryx, MS Access, MySQL, Oracle, or Teradata). Use programming, model building, and regression analysis skills in statistical analysis programs (such as Stata, R, or Python) and combined with their economic intuition to produce analysis for a variety of cases and/or projects across industries.
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Database: SQL programming (MS SQL Server or Redshift) Experience with: ETL Tools: Alteryx (or similar experience with Trifacta, SnapLogic, Informatica, SSIS) Experience with: ETL Tools: Alteryx (or similar experience with Trifacta, SnapLogic, Informatica, SSIS.
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8+ years hands-on programming experience with SQL and relational databases like Oracle, Teradata or Snowflake. 10+ years hands-on programming experience with SQL and relational databases like Oracle, Teradata or Snowflake.
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Perform Microsoft SQL and cloud-based SQL programming and automation using tools such as SQL Server Management Studio, Alteryx, S3, and Redshift. Execute Microsoft SQL Server DBrelated tasks.
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Use strong programming skills to write complex and efficient SQL code to develop insights from millions of transaction records. Experience with Power BI Report Builder /SSRS Power User. Advance Data Modeling skills - Data Models to streamline data sets used for Power BI dashboards and automate excel based reporting.
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