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Core Responsibilities:Ensure transaction/position integrity in Sterling’s records (Advent APX) against client custodial records, and also to Sterling’s OMS (Charles River) and relevant reference data (Bloomberg, etc.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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Full command of Microsoft Word, Excel and PowerPoint along with related financial services software including S&P CapitalIQ, S&P Leveraged Commentary, Advantage Data, Bloomberg, Thomson One, Thomson Loan Pricing Connector, FactSet, etc.
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Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with data visualization tools such as Tableau or Power BI.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. We are looking for a Data Scientist to join our Risk Data team. Have a chance to use machine learning tools to develop data-driven solutions.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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Manage overall user support, data integrity, system administration and process maintenance of HubSpot CRM and HubSpot Marketing Hub tools working with agency partners. E-Verify is an internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm employment eligibility.
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Ensure data integrity and accuracy by performing detailed data exploration and validation to identify trends, tendencies, and anomalies with a proven ability to audit outcomes and structure processes to ensure data accuracy.
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Employ Terra Dotta Software (TDS) for Study Abroad and other information technologies and be able to ensure the accuracy and integrity of the data, analyze collected data to monitor program trends and outcomes, and to make program improvements when needed.
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Keywords: Charlotte NC Jobs, Director, Financial Planning & Analysis, Business Intelligence, PowerBI, Enterprise Scale Dashboards, Reports, Scorecards, Data Sets, Statistical Models, Data Visualization, KPI, Key Performance Indicators, Restaurant Industry, North Carolina Recruiters, IT Jobs, North Carolina RecruitingLooking to hire for similar positions in Charlotte, NC or in other cities.
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Manage user access, security roles, and permissions to ensure data integrity and compliance with regulatory requirements. Integrations: Design, configure, and maintain integrations between Workday and other systems, ensuring data accuracy and integrity.
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Thoroughly understand secure application design principals, including the areas of authentication, authorization/least privilege, logging, encryption, data masking, data retention, and secure data transmission.
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