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Coding experience in Python, SQL, and R. Data visualization tools such as Power BI or Qlik Sense. Machine learning or deep learning algorithms, natural language processing techniques.
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Technical: Required : Tableau/Power BI and SQL Ideal: Python/R, familiarity with Web and Marketing analytics (Adobe, Google), and Customer analytics (clustering, segmentation) Required or Acceptable Job-Related Experience : Data manipulation and visualization experience via Tableau / Power BI, SQL, Advanced Excel.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Create data architecture, engineering and migration patterns for MySQL, SQL, Oracle, assisting data tier migrations with multiple technologies including No SQL/SQL, Relational, Analytical, Big Data, Data Stores, Data Warehousing, supporting AT&T Technology Standards and Strategies (TSS) and Cloud Technology Mapping for software versions, licensing, cost savings and implementation in Azure.
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SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data mining/programming tools (e.g. SAS, SQL, R, Python) Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake.
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Data Analysis and visualization tools (R, Python, SQL, SAAS, SharePoint, PowerBI) The Senior IT Auditor will support the Director of IT Audit by performing Internal Audit activities to provide assurance on the adequacy and effectiveness of the IT internal control environment, IT risk management framework, compliance with IT policies and procedures, and IT regulatory requirements.
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Working knowledge of one or more of the following programming platforms: SAS, Matlab, R, Python, SQL, VBA, etc. Familiarity with vendor models like Hotscan, Actimize SAM/WLF, SearchSpace, RDC, Bridger Insight, ACE Pelican, TCH OFAC Screening (EPN), FICO Credit/Debit, Guardian Analytics, and/or ThreatMetrix.
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Data Manipulation & Analysis: Work with project team to understand, manipulate and analyze client and market data using various tools, which may include: MS Excel, SQL Server, BI tools such as Alteryx or Tableau, and statistical programs such as SPSS or R.
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Strong proficiency in R, Python, SAS, Visual Studio SSIS and MS SQL Server. Build and run data queries from multiple systems and prepare data to be used as input for quantitative models and report generation using Visual Studio SSIS and MS SQL Server.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Proficiency in SQL, Scala, Spark, MATLAB, Data Cleaning, Information Theory, Machine Learning, Statistical Modeling, AWS, Azure, or Google Cloud Platform , including familiarity with Big Data technologies like Apache Spark or Hadoop.
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Adept with programming languages / software such as SAS, R, SQL, and/or other statistical programming languages preferred. Maintain and update SQL and SAS code used in pulling data for various analyses.
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Strong knowledge of data analysis tools and techniques, including SQL, R, Python, and data visualization (Qlik, Tableau, Power BI) Strong knowledge of data analysis tools and techniques, including SQL, R, Python, and data visualization (Qlik, Tableau, Power BI.
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Intermediate knowledge of data cleansing and data transformation using systems such as Azure Databricks, Alteryx, SQL, and R/Python. Intermediate knowledge of data cleansing and data transformation using systems such as Azure Databricks, Alteryx, SQL, and R/Python.
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Candidates must possess s trong programming skills in Python and/or R and fluency in data manipulation using SQL, h igh-level experience in conducting research, and f amiliarity with BI and data visualization tools (e.g. Tableau and/or R Shiny.
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