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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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Data Management (architecture, engineering, pipeline), wrangling (flow, extraction, transformation, load) Using big data analytics and warehouse tools (Snowflake, Databricks, Palantir etc.
$75,000 - $112,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of experience in Data Engineering and Analytics field including 5+ years of successful business intelligence or analytics team management experience, including hiring, employee development, performance management, and delivering results.
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Demonstrates extensive-level, abilities independently managing project teams for complete end-to-end engagements involving preparation, conception, realization, and the execution of SAP Data and/or Analytics implementation projects across multiple business functions such as Finance, Sales, Supply Chain, Engineering and Human Capital.
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A career in our SAP Data and Analytics practice, within SAP Consulting services, will provide you with the opportunity to help our clients maximise the value of their SAP investment with offerings that address sales, finance, supply chain, engineering, and human capital.
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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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Interacting and collaborating with Senior PwC SAP Practice Leaders to drive industry best practices and provide thought leadership across projects involving SAP Master Data Migration/Management, SAP Data Governance, Planning and Consolidation, Data Warehousing, Data Modeling over HANA, SQL or Cloud databases and, Data Visualization and Reporting.
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Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (e.g., physics, math, engineering, etc.) The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use data and insights to inform conclusions and support decision-making. Simply put, we focus on delivering business led, technology enabled change for our clients including industry specific enterprise resource planning and the latest in mobile, analytics and cloud solutions.
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Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
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Mastery in Data Engineering and Analytics: Armed with a BS Degree and over 5 years of hands-on experience, you're a seasoned navigator of data realms, adept at sculpting insights from raw information.
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We are looking for a Principal Data Analytics Engineer with experience in data modeling to join the Data Engineering team at CarGurus as we scale out our data modeling framework in dbt.
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Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Participating in training junior staff members and offshore counterparts, providing candid, meaningful feedback in a timely manner; and, keeping leadership informed of progress and issues; We provide comprehensive consulting, system integration and implementation services across multiple SAP applications, products and technologies.
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data management engineering jobs Title: analytics in Holdrege, Nebraska
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