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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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The ideal candidate should have extensive experience with Snowflake, Core SQL Skills, Cloud ETL processes, Python, GitHub, Control-M / Redwood orchestration and a strong understanding of ITAR compliance requirements.
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Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries. Business Support - Work with business and CCAR stakeholders regarding current and/or proposed PPNR models working with businesses, risk, and finance teams to submit and validate data and analyze the consolidated results production of the final regulatory 14A submission and data quality assurance of the submission and partnering with other CCAR teams such as documentation, process or review and challenge to provide and analyze results.
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Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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Knowledge of foundational analytics toolkit - data extraction, manipulation and visualizations (e.g., SQL, Pandas, Tableau, Ggplot) The Early Careers Rotational Program is an 18-month program for graduating seniors and is divided up into two 9-month rotations within one of RVO Health’s core functions, Data Analytics.
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Experience with common data science toolkits, such as SQL, R and/or Python with high proficiency in the use of opensource statistical and machine learning packages (numpy, pandas, scikit-learn, stats tool etc.
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The ideal candidate will have a working knowledge of statistics, mathematics, Microsoft Excel, data science programming languages (e.g., SQL, R, Python), and data visualization software products (e.g. Power BI, Tableau.
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Proficiency in SQL, Python, Power Automate, Alteryx or other relevant programming languages. Write complex SQL queries with multiple joins to automate and manipulate data exacts in Alteryx.
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Minimum 5 to 7 years’ experience in SQL, Python, Data Analysis, Excel 5+ years of Business Systems Data or Business Systems Design experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
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Experience with languages and tools such as Python, SQL, SAS, Qlik, Tableau, etc. Advanced skills in data wrangling, data engineering, data science, or related areas.
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Minimum 5 to 7 years’ experience in SQL, Python, Data Analysis, Excel. Evaluate data quality metrics and data quality audits to benchmark the state of data quality.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Good knowledge in SQL, Unix shell scripting, Python Memory Management and concurrency (GIL). Experience in working Python Frameworks like Django / Flask. Strong knowledge in Data Structures, Algorithms, Collections, Multi-threading and memory management, concurrency (GIL.
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Strong proficiency in Hive, SQL, Spark, Python, R, SAS or other data manipulation and transformation languages. Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.
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Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Adhere to data governance standards and procedures Required Qualifications: Minimum to years’ experience in SQL, Python, Data Analysis, Excel.
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