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Should have hands on expertise in SQL (ability to write complex Sql's, Joins etc) and good data analysis skills and ability to work on multiple databases like Oracle, Sybase, Hadoop, Sql Server.
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Assistance with routine data collection, quality control/assurance, report generation, data validation and other data management-related work. Support the development and documentation of processes and procedures related to data management and reporting.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
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Consistently provides reliable data that can be used in budget formulation and financial management activities. This experience typically includes: monitoring occupant space utilization, energy and water conservation, sustainability and environmental hazards programs; coordinating alteration and renovation projects; gathering information to assess the level of customer satisfaction, i.e., surveys, interviews with tenant contacts, focus groups; monitoring real property budgetary and financial data; and, administration of repair and/or operation and maintenance contracts.
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Quantitative Finance Analyst -Financial Crimes Data Analyst. The Role will interact with a wide variety of stakeholders including Financial Crimes Investigations, business risk managers, model developers, model risk management, model implementation, and technology teams.
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GS-11: You must have one year of specialized experience equivalent to the GS-9 level in the Federal service; Specialized experience is experience assisting in the management of a multi-level commercial office building (or equivalent non-housing high rise building) consisting of building mechanical system (i.e., HVAC, alarm systems, elevators, etc.
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The intern will receive hands-on experience working with data management for non-profit organizations. SCOPE OF WORK: The Data Entry Intern will be responsible for adding the Adult Education Department's clients into IRC's cloud-based case management platform Efforts to Outcomes or ETO, record attendance, and add case notes as needed.
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5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Ensure effective HR systems and technology : Oversee the implementation of NJ TRANSIT’s oncoming Human Capital Management system, as well as management of various HR systems, technology, and data analytics to support the business needs of the organization.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Managing a portfolio of projects | Assist with the management of a portfolio of projects to implement and commission Energy Conservation Measures (ECM) at City facilities in partnership with agency facilities staff, by utilizing available energy data (e.g. real-time interval data, Building Management System (BMS) endpoint data, energy management tools.
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Improve ways to capture data into existing tools like Adobe Analytics, Looker, Tableau etc. You have the ability to weave data into a narrative and tell a story, and recommend constructive next steps.
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