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Engineering Data Analyst - SAP Jobs (Hybrid work)

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Senior Microsoft Dynamics CRM Developer
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United States , Towson, MD
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Assurit
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Senior Financial Analyst
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Canada , Mississauga
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81000.00 - 90000.00 CAD / Year
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PointClickCare
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Microsoft Dynamics CRM Application Developer
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United States , Towson
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Assurit
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Email Security Senior Analyst
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Hungary , Budapest
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Citi
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Operations Analyst
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United Kingdom , London
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Eucalyptus
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Operations Analyst
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United Kingdom , London
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Eucalyptus
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COB & CM Senior Analyst
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India , Chennai
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Citi
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Analyst, Program / Project Control
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Canada , Dorval
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Bombardier
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Forward Deployed Analyst
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United Kingdom , London
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Flank
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Analyst, Wholesale Credit Risk
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Poland
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11200.00 - 16800.00 PLN / Month
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HSBC
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MuleSoft Developer
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United States , Columbus, Ohio
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Ocean Blue Solutions
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Business Analyst
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Poland
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15000.00 - 19000.00 PLN / Month
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HSBC
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Product Manager
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United Kingdom , London
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Equals Group PLC
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Senior IT Specialist
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United States , Raleigh
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eSystems, Inc.
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Senior Oracle PL/SQL Programmer
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Canada , Mississauga, Ontario
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120800.00 - 170800.00 USD / Year
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Citi
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Lead Threat Intelligence Analyst
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Canada , Toronto
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Take-Two Interactive Software, Inc.
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Supply Chain Analyst
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United States , Los Angeles
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80000.00 - 90000.00 USD / Year
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Silvus Technologies (International)
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Vice President of Marketing
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United States , Austin; DC; VA
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250000.00 - 300000.00 USD / Year
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Orbis Consultants
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Database Development Engineer
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Canada , Mississauga
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Citi
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Management Reporting Senior Analyst
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India , Mumbai
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Citi
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Explore Engineering Data Analyst - SAP jobs and discover a dynamic career at the intersection of data engineering, business intelligence, and enterprise resource planning. An Engineering Data Analyst specializing in SAP is a professional who designs, builds, and maintains the data infrastructure and analytical frameworks within SAP environments. Their core mission is to transform raw, complex data from SAP modules like SD, MM, FI/CO, and PP into clean, reliable, and actionable insights that drive operational efficiency and strategic decision-making. Professionals in this role typically engage in a variety of critical tasks. Common responsibilities include developing and optimizing ETL (Extract, Transform, Load) processes to move data between SAP and other enterprise systems or data warehouses. They design robust data models and schemas tailored for analytical reporting, often using tools like SAP BW/4HANA, SAP Data Services, or SAP Analytics Cloud. A significant part of the job involves writing complex SQL queries and ABAP code for data extraction, as well as creating and maintaining data pipelines to ensure data accuracy, consistency, and availability. They collaborate closely with business stakeholders, SAP functional consultants, and data scientists to understand requirements, translate business needs into technical specifications, and deliver comprehensive reports, dashboards, and data visualizations. To succeed in Engineering Data Analyst - SAP jobs, a specific blend of technical and analytical skills is required. Typical requirements include a strong foundation in data engineering principles, proficiency in SQL and scripting languages like Python, and in-depth knowledge of SAP's data structures and table relationships. Hands-on experience with SAP's analytics and data management toolsets is highly valuable. Furthermore, these roles demand strong analytical thinking to solve complex data problems, meticulous attention to detail for ensuring data integrity, and effective communication skills to bridge the gap between technical data systems and business objectives. A background in computer science, information systems, engineering, or a related field is commonly expected. This profession is ideal for individuals passionate about leveraging data to optimize business processes within the world's leading ERP ecosystem. By pursuing Engineering Data Analyst - SAP jobs, you position yourself at the heart of digital transformation, enabling organizations to harness their SAP data for competitive advantage. It's a career path offering continuous learning, high impact, and the opportunity to work on scaling data solutions that support critical enterprise functions.

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