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The primary tasks associated with this position include: creation of a document inventory, quality assurance review of each inventory, mapping of existing data to unique Veeva data fields, assignment of metadata for new data fields, migration of the created document inventory to the SiteVault platform (including person, organization, product and study profiles) via bulk document transfer.
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The Capital Markets Analyst will contribute to efforts to evaluate, implement and achieve strategic business opportunities through Lender Finance, Warehouse Lending and new Structured Finance initiatives in order to optimize the bank's balance sheet and improve the company's financial performance.
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Departments Supervised: Omni-Channel Customer Service, Warehouse, Shipping, Receiving, and Jewelry Workshop. VP Ops manages LAGOS’s omni-channel customer service and distribution; product repair, service and personalization; RTV programs for wholesale customers and reverse logistics for ecommerce customers; receiving and warehouse operations; and inbound and outbound logistics for the LAGOS global organization.
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The SCADA/MES Data Engineer is responsible for leading our IT-OT integration efforts, driving digital transformation, and supporting operations management. Strong understanding of data skills and tools, including cloud services such as Azure IoT Hub, Azure Data Factory, databases such as MSSQL, MySQL, SQLite, and BI tools such as Excel, Power BI, Tableau, and Knime.
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Conducts data analysis using BI tools such as Tableau, PowerBI, Knime, to provide actionable insights. Manages data integrations into data lakes and warehouses for enhanced decision-making.
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6+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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You should be a creative and solutions focused team member; how you think through challenges will set you up for success - we want warehouse heroes. This position is in a warehouse environment.
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Expertise in visualization tools/ data lakes (i.e., Spotfire, Tableau, JMP, ellumninate, etc.) Strong knowledge with CDISC (CDASH/SDTM), medical dictionary coding standards, FDA and ICH guidelines, GCP, 21 CFR Part 11, Good Clinical Data Management Practices (GCDMP.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Excellent understanding of data mining, predictive modeling, and data visualization.
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Core technology includes -– Embedded Systems, Wireless Data Transfer, MCU, PCB. Tech will include; Embedded Systems, Wireless Data Transfer, MCU, PCB. Core technology includes -– Embedded Systems, Wireless Data Transfer, MCU, PCB.
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The Patient Safety, Advocacy and Risk Management Specialist will have responsibility for data entry into the Midas Event Reporting system, the Pennsylvania Patient Safety Reporting System (PA PSRS) including external reporting to PA PSRS and the PA DOH, and running reports and performing data analysis from each of these data bases.
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As a Retail Warehouse Associate, you'll have the opportunity to assist with the daily operations of our on-site and off-site warehouses and events, in addition to helping execute inventory management and efficient distribution to our arena retail locations.
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Qualifications Bachelor’s Degree in Information Science, Statistics, Data Science, Information Management, Geographic Information Systems, Urban Planning or a related field. Experience using ESRI ArcGIS software suite to publish data and produce GIS applications.
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Data entry for the FAU data project and other administrative data maintenance tasks. CLS values a diverse work environment and strongly encourages women, people of color, people who identify as LGBTQ, people with disabilities, people who have experienced poverty or homelessness and people who have had prior contact with the juvenile, criminal, or child welfare systems to apply.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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data warehouse metadata jobs in Philadelphia, PA
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