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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop.
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Proficient with one or more programming languages (SQL, SAS, R, Python) Committed to delivering clean, safe, reliable, and affordable energy at rates below the national average, Georgia Power maintains a diverse, innovative generation mix that includes nuclear, coal and natural gas, as well as renewables such as solar, hydroelectric and wind.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong Programming skills e.g. R, Python, SAS, SQL or other languages. Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases.
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Description :The position is part of the Enterprise Risk Analytics (ERA) model development team for Anti-Money Laundering (AML) detection models. Experience with data analytics and visualisation tools (e.g., Alteryx, Tableau, MicroStrategy.
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Is the largest electric subsidiary of Southern Company (NYSE: SO), America's premier energy company. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy infrastructure company with national capabilities, a fiber optics network, and telecommunications services.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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An intermediary understanding of SQL or working directly with MS Access joining relational tables together and/or some knowledge of one other scripting/compiled/statistical programming language (e.g. VBA, Python, R, SAS.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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Statistical Software: SAS, R, Python. Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar. Programming Languages: Python, R.
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Experience with R, Python, SQL, or SAS. College students pursuing undergraduate or graduate degree majoring in: Data Science, Computer Science, Computer Engineering, Software Engineering, Management Information Systems, Information Security, Cybersecurity, Math, Statistics, Physics, Economics, Computer Science, or related field.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of SAS, SQL, R, Python, or other database programming languages. Conducts data research projects end-to-end by integrating, aggregating, or reassembling information from a variety of database sources and systems by writing database queries in SAS, SQL, R or other database query languages.
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Experience using R or Python for data analysis, or statistical software such as SPSS or SAS required. Conduct quantitative and qualitative research on issues related to Patterson research agenda with a focus on critical issues facing higher education and students of color in post-secondary education.
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Expertise in statistical software (R, Python, SAS) and database management systems. Directs and/or performs a variety of complex advanced statistical analyses including data mining, predictive modeling and/or actuarial research techniques, while ensuring the accuracy and integrity of data.
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Maintain responsibility for analysis design and statistical programming in SAS, Python, and R, code optimization and efficiency, quality control via appropriate application of statistical theory, modeling, including parametric and non-parametric for interpretation of results, and objective development for descriptive statistics to refine hypothesis.
Part-timeExpandApply NowActive JobUpdated 7 days ago
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