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Possessing skills in Data Migration and Management, Data Governance, Reporting and Analytics, Planning and Consolidation, Cloud Databases and Advanced Analytics; In joining our data and analytics team, you’ll work with our clients to leverage SAP applications to transform their data management and governance and analytics processes by enhancing their core transaction processing and reporting competencies ultimately strengthening their ability to support management decision making and corporate strategy.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems, learn more about CRA.
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Responsibilities:Lead the growth of our Data and Analytics business though assessments, strategy, and roadmapsDeliver rapid assessments to create gap analysis for the data and analytics roadmapWork with technical architects and management consultants to develop and deliver strategy engagementsStay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and assess their potential impact on the organization.
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As a member of the Data Science & Analytics (DS&A) management team, the Director leads experienced analytic professionals in the design, development, and implementation of custom solutions and products for both external and internal customers across the mortgage and tenant-screening business domains.
$266,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will have 2 managers reporting to it, one focused on BI and the other focused on data engineering/advanced analytics (Client). 8+ years of experience within the data realm - ideally a combination of data engineering, BI and analytics/Client.
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Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.
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Candidates should be in their first year of an MBA program and possess a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering.
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Rotational opportunities include positions supporting various business groups, such as the below: Global Risk Analytics Corporate Treasury Enterprise Credit Risk Data, Digital & Global Marketing Model Risk Management Global Markets & Financial Risk Enterprise Independent Testing *Team assignments are developed based on business need and aligned to skillset and therefore cannot be guaranteed.
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3-5 years of related work experience in the field of data engineering, marketing analytics, data science, and technology consultative environments Excellent client-facing, communication, and writing skills.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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5+ years of technology and data analytics work (such as data engineering, integration, or data visualization) across various data sources, modeling, or consulting.
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In this role, candidate is expected to work with cross-functional partners such as data engineering, product management and other data scientist to create business intelligence and marketing / digital analytics solutions.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal candidate will have detailed knowledge of information / data management, data engineering, data storage, business intelligence and analytics. Experience in selling one or more of the following information management services, data engineering- pipelines, data storage services (DBA services ) and AI/ML analytics.
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The FOA team is comprised of experts in Financial Engineering, Portfolio Market Risk, Exposure, Valuations, PnL, Performance, Post Trade Compliance, Data Science, Software Engineering, Data Engineering, Analytics Engineering, as well as Product and Platform Management.
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In this role, you will need to ensure the data engineering team is delivering on ITAM data needs to the organization via our data warehouse, data lake and a suite of reporting, dashboard and analytics tools.
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data management engineering jobs Title: analytics in Chicago, IL
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