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Strong understanding of liquidity and asset & liability management and experience managing of associated risks. Experience working closely with Treasurers and Senior Management through the identification of emerging asset & liability management, interest rate, and liquidity risks.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Azure Data Factory/Databricks, Snowflake.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) The candidate will lead the synthesis of complex/big data to develop and execute actionable strategic and tactical digital initiatives and to identify marketing opportunities for measurable impact and profitable growth.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Set a high standard of ethics, professionalism, and competency Skills & Other Requirements Broad, practical knowledge of semiconductor wafer fabrication and hands-on experience in the operation, maintenance, and repair of fabrication process tools (Grinders, X-rays, Cleaning Equipment) in an industrial environment is a big plus.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Net, SQL Server/SSIS/SSAS Reporting tools Angular / React Azure DevOps Visual Studio Azure DataBricks, Data Factory Domain experience : Working knowledge of Investment Securities Trading, Operations, Compliance workflows & Analytics) Designed and developed the applications using Agile Scrum methodology.
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Digital Forensics and Incident Response Support specific IT forensic investigations and operations, including The extraction of data and electronic evidence from information technology in a way that ensures that the data is seized in compliance with computer forensic standards and in compliance with chain of custody guidelines.
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As a Physical Therapist Assistant, you can expect: the ability to build in-person trusted therapist-patient relationships continuing education and tuition reimbursement opportunities independence and autonomy career growth possibilities Give your passion to serve others and your drive for better, more advanced quality healthcare.
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Leading the architecture efforts & implementation of data platform on Snowflake, including data modeling, ETL/ELT processes, and data integration / dissemination / Data Sharing.
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Experience with big data technologies (e.g., Hadoop, Spark). Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI.
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And codified healthcare data standards (e.g., NDC, ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.) Experience with data visualization tools such as Alteryx, Tableau, PowerBI desired. Healthcare data expert across various data types (e.g., open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants of health, etc.
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Extract, clean, and normalize data from multiple sources (Excel, SQL, Oracle, Databricks) to generate actionable insights for analytical studies. Are you a mid-level Data Scientist who has not only sharp technical skill, but also a deep curiosity and passion for creating insights from data that can drive real business change.
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We are leaders in managing data using the latest cloud information management and big data technologies. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management.
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Preferred Qualifications: Experience with statistical / data software packages such as Netezza, SQL, Python, SAS Direct Experience with Credit Loss Forecasting (Either CCAR, CECL, or FP&A) Prior experience managing a team If hired in CA, the base pay for this position is generally between $141,522 and $217,000.
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asset tuition big data jobs Company: Jpmorgan Chase Co in Parsippany, NJ
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