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Engineering Data Analyst - SAP Jobs (Hybrid work)

480 Job Offers

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Senior Analyst, Project Cost, Transmission
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United States , Westwood
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112360.00 - 124840.00 USD / Year
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EVERSOURCE
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Healthcare Efficiency (Lean) Specialist
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United States , Marietta
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Tier4 Group
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Lead Apparel Product Test Analyst
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United States , Beaverton
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55.18 - 61.34 USD / Hour
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Aquent
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Full Stack Engineering Lead
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India , Pune; Chennai
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Citi
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Experienced User Experience (UX) Researcher
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India , Bangalore
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Boeing
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Senior Cybersecurity Risk & Compliance Analyst
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India , Bangalore
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Kennametal
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Applications Development Senior Programmer Analyst
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United States , Tampa
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139000.00 - 146788.10 USD / Year
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Citi
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Finance Solutions Senior Analyst
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Hungary , Budapest
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Citi
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IT Security Engineer
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Germany , Munich
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Brainlab
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Senior Analyst, Strategy & Planning
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United States , San Francisco
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105300.00 - 125775.00 USD / Year
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Intercom
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Integration Architect - Platform Solution
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Switzerland , Bioggio
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Avaloq
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Lead Threat Intelligence Analyst
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United States , New York
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133900.00 - 198160.00 USD / Year
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Take-Two Interactive Software, Inc.
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Lead Threat Intelligence Analyst
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United States , Las Vegas
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Take-Two Interactive Software, Inc.
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D365 Mid Level Technical Consultant
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India , Chennai
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OptiSol Business Solutions
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Senior Bigdata Engineer
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India , Pune
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Citi
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RPA Developer Lead
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Tunisia , Sousse
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TUI
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Java Full Stack Developer
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India , Pune
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Citi
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Applications Development Technology Lead Analyst
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Canada , Mississauga
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Citi
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Automated Testing Analyst
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Romania , Bucharest
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Inetum
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Senior Java Technology Lead
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Ireland , Dublin
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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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