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Strong understanding of SAP master data - material master, vendors, prices etc., Expert level MS Excel, ability to perform VLOOKUP, Pivot Tables, produce executive summaries based on analysis of data to be able to tell the story in a concise manner of what the data is telling or the trends are showing.
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Connect & extract data from files, databases (SQL Server), and cloud services (Azure, D365) using PL/SQL queries; data modeling (star schema, snowflake schema) of fact and dimension tables and create measures & formulas using DAX language for interactive and insightful Power BI reports.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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Lead strategy and direct development and implementation of project-specific database-related activities in collaboration with Data Sciences, Statistical Programming, and other stakeholders. Represent DSS on data monitoring committees.
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12+ years of private equity fund accounting, Big 4, or fund administrator experience. Oversee the maintenance and review of the waterfall system data for management fee, contribution and distribution calculations.
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Key Word Tags Sales, Collections, Retail, Loan Sales, Customer Service, Customer Care, Business Development, New Grad, Newly Graduated, Entry level, Financial Sales, Management Development, Management Trainee, Finance, Full-time, Career, Benefits, Customer experience, Financial Representative, Credit, Leadership, Manager TraineeBy applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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Successful candidate will see the big picture to act in the capacity as the Data Team's Product Owner in building our data capabilities within our data management practice of simplicity, efficiency, quality, agility, reliability, resiliency and maintainability.
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Provides trouble resolution and serves as a point of technical escalation on complex issues related to data ingestion and data quality; drives ownership and timely remediation of issues identified in Prisma Cloud.
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EisnerAmper is looking to hire a Director to join its Risk & Compliance Services practice as a dedicated member of the IT Risk, Data Privacy & Security team, supporting National Security Advisory services.
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Support Daiichi Sankyo internal business departments, data steward, and sourcing partners with the following activities: capacity planning, problem management, impact of application issues and overall application (s) stability and associated delays (incident management), operational support for data exchange, integration and data loads, communication on issues and resolutions to DSI.
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Provide in-home 1:1 ABA services to individuals diagnosed with Autism Spectrum Disorder (ASD)· Use behavior-analytic strategies to increase functional behaviors and decrease behaviors that may impede learning, safety or social opportunities, by following patients’ treatment plan· Collect and submit data on an electronic data system.
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This position demands hands-on experience with a variety of data engineering tools and technologies, including Talend, Qlik Replicate, Data Bricks, and Azure Data Factory. Utilize Databricks for data processing and analytics.
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Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau. Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam. 10+ years of experience with Big Data cloud services in AWS, GCP, and/or Azure. Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
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Experience working in GCP cloud - Organization policies, n/w, IAM, VM, DB, Big Query, Kubernetes & Containers. Google Professional Cloud Architect Certified and/or Google Professional Data Engineer Certified.
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big data jobs Company: At T in Plainfield, NJ
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