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Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
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Proficiency in data analysis techniques and tools, such as SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI) Familiarity with big data technologies and frameworks, such as Hadoop, Hive Spark, Kafka, and NoSQL databases.
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Programming: Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization: Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
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Solid knowledge of using languages such as Node.js, Java, Python, or R. Proficiency with front-end development knowledge including HTML, CSS, Tailwind, JavaScript/TypeScript, React, and Storybook.
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Skills in using Power BI, Python, Pyspark, MapReduce, Hadoop, Apache Spark, NoSQL, R, RStudio, C. Skills in using Power BI, Python, Pyspark, MapReduce, Hadoop, Apache Spark, NoSQL, R, RStudio, C.
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Python, and R programming ecosystems. Experience with the following technologies:, Apache Hadoop, Apache Spark, SQL, NoSQL, Dask, Pandas, Cloud Storage (S3, ADLS, GCS). Experience with the following technologies:, Apache Hadoop, Apache Spark, SQL, NoSQL, Dask, Pandas, Cloud Storage (S3, ADLS, GCS.
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Technical skills: Python, SQL, R, Hadoop, Tableau. As a Portfolio Analytics & Strategy Analyst Senior within PNC's Retail Lending- Decision Management Marketing Analytics organization, you will be based in Pittsburgh PA, Cleveland OH, Birmingham AL, Wilmington DE, Tysons Corner VA, Charlotte NC, Chicago IL, Atlanta GA, Houston TX. The position is primarily based in a PNC location.
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Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
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Experience with Python, R, SAS, Hadoop (Hive, Pig), or similar systems. Experience with Python, R, SAS, Hadoop (Hive, Pig), or similar systems. Experience using enterprise CX platforms such as Qualtrics, Medallia, or InMoment, similar.
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This position is designed to support teaching of business analytics courses which may include one or more of the following topics: business statistics, predictive analytics, programming (Python), database (MS Access, SQL Server (SSMS), Visual Studio, project management, advanced data management (AWS, Azure, Hadoop), optimization, and decision processes.
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Proven ability in one or more of the following programming or scripting languages- Python, JavaScript, Java, R, UNIX Shell, php, ruby. knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
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Operational Risk - Knowledge of policies and processes for operational risk management; ability to use tools, data, and best practices to identify, assess, and manage operational risk exposures. Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes.
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Well-Practiced Technical skills in data mining with 2 years of writing SAS, SQL, Python, R, Spark, or Hadoop. Well-Practiced Technical skills in data mining with 2 years of writing SAS, SQL, Python, R, Spark, or Hadoop.
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Experience in the development of algorithms leveraging R, Python, SAS, or SQL/NoSQL. Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Proficiency in Python, R, or Java and relevant frameworks and libraries. Experience with big data technologies such as Hadoop or Spark. Experience with Palantir Foundry, Snowflake, AWS SageMaker or others with AI/ML and cognitive services from a cloud provider.
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