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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python.
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Strong experience in Python, SQL, statistical methods and model development in cloud environments. Develop complex inquiries with SQL, Python and ETL to perform analyses of the underlying data in our systems and highlight trends, issues, and findings.
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Working knowledge of ArcGIS Maps SDK for JavaScript, REST, SOAP, and WMS web services and their associated data exchange formats including XML and JSON; backend development experience, including web development, Arcade, SQL, and Python scripting, is a plus; familiarity with AI/ML is a plus, but not required.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
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Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C. computer engineering, electrical, linux, machine learning, photonics, processor, python, software.
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6+ years of experience in data analysis (data gathering, transformation, modeling, analytics, and reporting) using Alteryx, SQL, Python, and/or R. (SQL to move data to Snowflake and looking to use Alteryx to automate tasks.
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Java, Perl, Python, R, SQL) and scripting. Data Analysis and Data Science: In this role you will have the opportunity to strengthen your data skills using statistics along with a variety of programming languages such as SQL, R and Python.
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NET framework, React, JavaScript/TypeScript, HTML, CSS, and T-SQL. c#, developer, devops, matlab, php, python, sde, software engineer. NET framework, React, JavaScript/TypeScript, HTML, CSS, and T-SQL.
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Expertise in MS-SQL, Databricks, Python, PowerShell, and additional scripting languages. Solid understanding of database management, including experience with MS-SQL and Databricks.
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Desired Qualifications Certified Internal Audit (CIA) certification Audit or risk control risk/controls background in financial services Prior Analytical / Automation Skills (SQL, SAS, Python.
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Must have experience with: Conducting data mining, data processing and modeling using SAS programming; Identifying authentication and fraud detection gaps/issues and recommend paths of action; Data Analytics tools and techniques to extract information from data; SQL; Database Management; Tableau; Business Intelligence tools; Analyzing fraud patterns libraries in Python.
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Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word and PowerPoint. Proficient in at least one of Python, R or SAS. Masters Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Psychics, Computer Science or similar quantitative field PhD is preferred required.
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