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Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholdersFamiliarity with latest trends in data engineering and data management (APIs, data virtualization, stream data integration, augmented data integration.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Oversee design and build out of appropriate data governance to ensure that data is complete, consistent, correct, accurate, and timely for internal testing and future submission to the US Federal Reserve Bank; oversee determination, design, and implementation of CCAR production infrastructure, data, and technology needs (e.g. modeling data, model production environment, regulatory reporting.
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Experience as a Data Site Reliability Engineer or a similar role, with a focus on data infrastructure management. Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
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Own reference data and investment characteristics of multiple security types while supporting Portfolio Management, Quantitative Research, Trading, and other Firm constituencies. The Data Management Team provides a centralized and coordinated function supporting the accounting, valuation, corporate actions and security reference needs of PPM America's many business units and clientele.
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Provide leading edge Category Management solutions, using and understanding IRI and Nielsen syndicated scanning data, Household Panel, market demographic data, customer point-of-sale, loyalty data, and systems used to produce the information for Category reviews.
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Active Directory (AD), Azure Storage, Cloud Infrastructure, Data Center Networks, Design Planning, Disaster Recovery (DR), EMC Storage Area Network (SAN) Administration, Information Technology (IT) Infrastructure, Microsoft Azure, Microsoft Azure Active Directory (AD) Multi-Factor Authentication (MFA) Management, Project Intake Management, SAN Storage, Storage Management, VMware Technologies.
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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
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Education & Experience Required:Master’s degree in CS, mathematics, engineering, finance or related and three (3) years of experience as a quantitative analyst, data science engineer, BI developer, BI analyst, analytics lead or related.
$136,200 - $193,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise in the Category Management process and proficient in syndicated and panel data as well as familiarity with pricing, promotion and assortment optimization software knowledge and experience working with customer POS data systems (experience with data sources such as Nielsen, IRI, NPD, Numerator, dunnhumby, Spectra/demographics.
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Demonstrated programming, data management, and analysis skills, including experience with R, Python, JAVA, SAS, Stata, GAMS, or similar quantitative research software. obtain, process, and analyze technical data using statistical and modelling software to produce high quality research for clients, which include government agencies, foundations, non-profit organizations, and private corporations.
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Experience with a widely-used investment portfolio management and data reporting tool such as Dynamo, Blackrock Aladdin/eFront, Bloomberg, Solovis, Caissa/Burgiss, and/or FactSet to measure the performance and risk of portfolios and to assist with the monitoring of current and prospective investments is required, although Dynamo-specific experience is not.
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Client Facing /Client relationship / Client Management skillsMust be familiar with the design process of building systems for data center and mission critical projectsSolid Construction Project Management experienceEffective Communicator – emails, phone and face to faceAbility to work independentlyTravel as needed to project sitesSolid Admin skillsComputer savvy: MS Project, Excel, P6 Oracle Primavera, AutoCAD a plusPrevious experience in the Military / Military Veterans a huge plus.
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Libraries: Data Visualization libraries such as D3, Vega, Visx, or ObesrvablePlot, State management library such as Redux, Mobx, ORM such as Mongoose, Prisma. Stats and domain area: Demography, Socoieconomic data wrangling, spatial data management and formats, data science experience.
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Experience with COMMs SUBSYSTEM includes: SHF, UHF SATCOM and LOS, HF, NOW, IFF, SECURE VOICE and DATA CRYPTOS, CMS, EKMS, KMI, SIPRNET, ADNS/CFCP, and/or NIPRNET is desired but not mandatory for this position.
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We are looking for a Chief Information Security Officer (CISO) who will be responsible for providing executive leadership managing data and information risks related to product development, technology solutions, crisis management, governance risk, compliance and data privacy.
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data management jobs in Chicago, IL
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