Analityk Analityk Technical Analyst
hace 3 días
With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 5,500+ professionals working on a worldwide ambition. We are organized in complementary service lines – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming, Intelligent Automation, and Microsoft. We help the world’s top 250+ companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. Application Data Validation: Lead the initial sanitation and consolidation of application inventory data from various sources (e.g., Metric Collection & Accuracy: During the pilot, rigorously validate the accuracy of existing application data (e.g., technical fit scores) and systematically collect new metrics (TCO, support model, vendor EoL) by engaging with stakeholders across Finance and SAM (Software Asset Management). Deep-Dive Analysis: Once data is confirmed, perform detailed discovery on high-priority application lists flagged for rationalization (Migrate/Eliminate candidates) in conversations with the respective application owners. Interview and align with application owners, architects, and product leads to accurately gather data on application architecture, current tech stack, and future roadmaps. Support the calculation of Return on Investment (ROI) and projected savings from decommissioning/replacement activities to build data-driven business cases. Technical Acumen (Mandatory): Strong foundational understanding of modern software development practices, CI/CD pipelines, cloud architectures (e.g., Azure, AWS, GCP concepts), and the ability to perform deep-dive analysis on application tech stack, component dependency, and EoL risks. Analytical Rigor: Proven ability to manage, consolidate, and sanitize complex, inconsistent data from multiple enterprise sources (EAM, CMDB, App 360, spreadsheets) and lead data validation efforts. demonstrated ability to engage with architects and senior engineering leads to extract technical details and translate technical risk into clear business and financial impact for non-technical leadership. Tooling: Familiarity with Enterprise Architecture tools, data visualization platforms (e.g., Tableau, Power BI), and advanced spreadsheet analysis.
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