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Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
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Familiarity with Redgate, Git, Alteryx, Python, APIs a plus. Proficient in MS SQL Server 2019 or later and related technologies (SSIS, SSRS, SSAS, MDM) NET, Python, Java, Scala, or similar technologies.
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Advanced ETL skills (e.g. Kettle, MS SSIS (SQL Server Integration Services), Alteryx, KNIME, etc.) Minimum of 3 years of experience with SAS, SQL, Python, SPSS, R or other like applications.
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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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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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Front End skills and familiarity with the following toolkit - AWS Amplify, Cloudfront, React, Vue, Node, proficiency in HTML, CSS, JavaScript, Python, HTTP, REST APIs, Git, Docker, Cloudformation, YAML, CodeCommit, authentication/authorization practices, and jQuery.
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Experience with programming languages skills (e.g. JavaScript, Python, and R etc. Advanced statistical analysis skills and Machine Learning modeling, Deep Learning modeling. Experience with Snowflake warehousing platform.
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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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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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Sales and digital marketing teams, using MS Excel, Alteryx, Tableau and Python; and conducting performance analysis on marketing and promotional campaigns to effectively measure the return on investment based on key indicators using Google Analytics, Facebook analytics, Spotify Analytics, and YouTube Analytics.
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Build automated processes using scripting tools (i.e. Power Automate, Alteryx, SQL, Python, etc.) Experience with ETL Tools such as Alteryx, Paxata, DataGuru or equivalent technologies, preferred.
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Over 10 Years of Experience in Data Analytics/Engineering domain with Data Mining and visualization using Python, Excel, Tableau, SQL-PL/SQL, Power BI, Spark, AWS. Experienced in performing data transfer between different heterogeneous systems (Excel, Flat Files, XML file, JSON, OLTP DB) and SQL server as part of Data migration, Data maintenance.
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Python, SQL, Tableau, Alteryx experience (highly preferred) - Application Administration/Development experience with enterprise server based BI Applications including Tableau, Alteryx, Cognos, SPSS and/or equivalent.
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Alteryx Designer or Server Administration Certification, Python PCEP, Microsoft Certification, PowerBI Data Analyst Certification. Develop solutions utilizing Power BI, Alteryx, Python, APIs, Excel Macros (VBA), Excel, SQL, and other data transformation tools to efficiently manipulate, format, and analyze data.
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Using SQL server, RPA/UI Path, Python, Alteryx,. Net, SharePoint Designer, VBA, java script, SSIS, SSRS, Oracle, API's, Gitlab/GitHub, DevSecOPs, and similar development tools. Using SQL server, RPA/UI Path, Python, Alteryx.
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