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Specifically, the CTO is responsible for analyzing data (proteomics, electronic health records, insurance claims, patient registry data, genomics data linked to clinical data, etc.
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As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.
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Working knowledge of equity swaps configuration, TRS Generator configuration (& related static data), rate curve definitions, rate curve assignments, Pricing template, calculation templates, processing templates, VaR modules, CVA, LiveBook, OSP within Murex 3.
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5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure.
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We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and artificial intelligence and machine learning (AI/ML) based solutions.
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Experience with big data technologies such as Apache Kafka , Apache Airflow , or Databricks. Hands-on experience with ETL/ELT tools (e.g., Informatica , DBT , Fivetran ) for data extraction, transformation, and loading.
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Proactively assess, identify and develop recommendations regarding data protection, insider threat, data sharing, identity and access management, and third party risk issues and vulnerabilities by working with multiple stakeholder teams, including Privacy, Legal, HR, IT, etc.
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You have at least 5 years of professional experience with Python, SQL, database design, and have experience working with data warehouses like Snowflake to generate complex solutions at scale. We apply Python, Snowflake and dbt in a medallion architecture to make sense of large swaths of data from trading systems.
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About The RoleAs a Workday HR Data Analyst you will play a crucial role in analyzing and interpreting data to drive informed business decisions in a fast paced, growth oriented global organization.
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The Data Specialist will be responsible for overseeing: Data Visualization, Data Collection and Storage, CRM and Case Management platforms/tools, Analysis and Reports. Core to achieving this mission is a strong data specialist who can manage CAS Team data operations.
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The primary responsibility of the team is to leverage data, latest tools, and advanced techniques to innovate and help the organization make sound forecasts of the company’s Billed Business and Loan amounts for all of AXP in the context of the annual Comprehensive Capital Analysis and Review (CCAR) exercise.
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Apache Kafka has quickly become the backbone of event driven architecture at Bloomberg and the main data bus for data distribution, live streaming, and general purpose messaging. We develop and integrate products into a simple, elegant user interface and provide a concise way for engineers to create data-store and middleware instances.
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Vertex AI and BigQuery:o Hands-on experience with Vertex AI for generative AI solutions and BigQuery for data storage and analytics. BigQuery Storage:o Design and optimize data storage solutions using BigQuery Storage.
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This is a new position for Data & Society, intended to scale our already robust development and fundraising efforts. Leverage technology and data analytics to assess progress against plans, monitor expenses, and ensure the security of all donor records.
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data entry jobs Company: Nationwide Therapy Group in Hoboken, NJ
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