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Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Fluid understanding and working with data management software, geographic information systems (GIS), statistical programs (R, STATA or Python), and database query languages (SQL.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Experience with Ellucian/Banner, Microsoft Power BI, SPSS, R, Python, Oracle SQL Developer, Evisions Argos, Tableau preferred. Extract, process, and submit data from/to various systems, including, but not limited to, the Collin College Student Information System, the Collin College Data Warehouse, the Texas Higher Education Coordinating Board (THECB), and the Integrated Post-secondary Education Data System (IPEDS.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. 12+ years of experience working in the field of Data Engineering and Data Science.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You have strong skills in Python, R, SQL, and Hive queries.
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Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica)Familiarity with Analytical Workbenches such as R/Python, Alteryx, Dataiku, KNIME, AWS Sagemaker etc.
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Position Overview: We are seeking a talented and motivated Data Analyst to join our team in Tucson, AZ. The ideal candidate will have experience with Python, R programming, SQL scripting, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with Snowflake or similar data warehousing platforms is highly desirable.
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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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Years' experience in IT Consulting, Management Consulting, Process Improvement, or similar area Bachelor's degree in Business Informatics, Computer Science, Mathematics, or other Information-oriented degree program Basic knowledge of SQL Strong interest and/or experience in Big Data, Data Mining, and Process Mining Experience with other programming languages such as Python, R, MATLAB, etc.
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Analytical skills with hands-on experience developing or validating predictive machine learning models on data sets in Hadoop/AWS environments using Python, R. and SAS. As a Barclays Compliance Data Model Validation Assistant Vice President (AVP), you will be responsible for Model Risk Management (MRM) with accountability to management and Board of the firm for review and challenge of models and assumptions drives non-model methods (NMM) to ensure compliance of the model risk measurement and management.
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Proficiency with Python, R, Scala, Java or another modern programming language used in data engineering. A Bachelor’s degree in data engineering, computer science, biomedical informatics, health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the management and research use of clinical data.
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Provide support in mining FAA datasets in conjunction with information analysis tools but not limited to SPSS/R/Python/PySpark/Palantir Foundry to use appropriate algorithms/machine learning/artificial intelligence to study the data.
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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Python, R, SQL, Tableau, PowerPoint, Excel, and communicate results to client audiences at all levels with presentations and briefings.
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python r data warehouse aviation management jobs Title: data analyst
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