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Proficient in programming languages such as SAS/SQL/R/Python strongly preferred. Solid knowledge and hands-on experience with health economics and outcomes research (HEOR) or epidemiological study design strongly preferred.
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Solid understanding of database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), including schema design, query optimization, and connection pooling. Over the past decade, we've shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes.
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SQL, SOAP, WSDL, WADL, PERL, PowerShell, VBS, Eclipse, Postgres, Oracle, Jenkins on a Windows platform. Experience with the following: JEE, SQL, application servers (Tomcat, WebLogic, JBoss), scripting.
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Advance PL/SQL Developer Certified Professional. Advance PL/SQL Developer Certified Professional. This position frequently works with the DEVSECOPS development team. IAM III Certification - CISM, CISSP, GSLC, CCISO.
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Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Experience coding with R, SQL, STATA, SPSS or equivalent. Experience coding with R, SQL, STATA, SPSS or equivalent. Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics.
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Strong experience with data visualization tools like Tableau, Power BI, etc. Advanced knowledge of SQL and experience with programming languages such as Python, Java, or R. Strong experience with data visualization tools like Tableau, Power BI, etc.
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Advanced programming skills in SQL and Python, and proficient with common data science Python packages (including Pandas, SciPy, Scikit-learn, Prophet, LightGBM, TensorFlow/PyTorch etc. Experienced with working on big-data platforms, cloud service providers related ecosystems such as Apache Spark, Amazon Sagemaker, or similar frameworks.
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Advanced skills in Excel, Tableau, Power BI, or any other data visualization tools. The Assistant Director, Direct Marketing is a valuable member of the Annual Giving team in the Office of University Advancement at William & Mary. The Annual Giving team at W&M is a best in class, innovative and expanding division that includes a newly added team of digital and lead annual gift officers, annual giving for schools and units across campus, and advances philanthropy from student and young alumni to 50th reunion and beyond.
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Experience using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data. Experience using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data.
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SQL, Python, Git And Jenkins. Stored Procedure, SQL performance tuning, JDBC / ODBC. Experience with Keychain, HashiCorp Vault, CyberArk, PingID and Active Directory. Experience with Snowflake.
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Preferred some knowledge on database technologies like MySQL/MSSQL/Oracle/MongoDB and SQL queries. Strong expertise in implementation, solution development, Integration and administration of Automation and configuration management tool like Ansible, Jenkins, Gitlab required.
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Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau. Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata. , and Power BI/Tableau.
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JAVA, Node.js, React, Python, JavaScript, HTML5, CSS3, AJAX, XSL, JQuery, Angular JS, Oracle, MySQL, SQL, PL/SQL, Postgres, PostGIS, GraphQL, Mapbox, Perl, Hibernate, EJB, Spring, JMS, JSP, SVG, C, C.
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Experience creating new Tableau sites and scheduling and performing maintenance on the Alteryx Server. Alteryx Server Administrator (Remote) | Washington, DC. Alteryx Server Administrator. The flexibility of Alteryx enabled the FAA to shift from a push model to a pull model where the new process would only have to pull information from the GSA fleet application when there were updates.
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