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Credit Suisse 28920 - Data Analyst #185311 in Pune, India

Operational Analytics (OA) make effective use of existing infrastructure data in different forms, at different layers, silos, tools and systems to help Credit Suisse Improve Infrastructure Stability, Operational Efficiency and Service Level Customer Experience. We develop data driven solutions that help Reduce Risk of major incidents and avoid impact to key services by Leveraging AIOps methodologies to discover trends, patterns and anomalous behavior in noisy IT systems data. We Develop visual and programmatic instrumentation that communicate measurable insights for both deep forensic and real-time streaming analytics that enable support teams to better anticipate potential problems, and focus on proactive incident avoidance. We run IT with data. Your future colleagues We are looking for a Data Analyst with knowledge of Banking System Infrastructure to join our dynamic team of analysts. Successful candidate will provide the key skills and experience to support the team’s goals of delivering advanced IT Operational Analytics (ITOA) service within the organization. This Raleigh based role will be responsible for data wrangling, collection, extracting, transformation of data including reshaping, cleaning and enriching across multiple infrastructure platforms and technologies (Storage, Compute, Networks, Databases, Web platforms and applications). You will provide proactive exploratory analysis utilizing multi-functional data sources, data mine to help distill trends, uncover insights, develop data stories to then communicate through intuitive visualizations and through advanced analytics methodologies, help predict potential risks and issues (performance, capacity, configurations, etc). You will work as part of a multi-functional converged infrastructure team with SME’s from across multiple infrastructure technologies where you will collaborate to provide deep analysis, insights and recommendations for the firm’s key Services, Applications and Infrastructure. The department values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business approach to convert insights into strategic opportunities for our clients. * Bachelor Degree in Computer Science, Information Technology, Information Systems, Statistics, Applied Math, Economics, Business Administration, or any other related field is essential * At least 1-2 years of experience providing IT solutions and some Operations experience * An understanding of IT Infrastructure fundamentals and some advanced concepts (Compute architecture, Databases, Web and Application Communications, Storage subsystems, Networks) * Experience with BI and Data visualization tools, such as Tableau, Grafana, PowerBI or Qlik etc. * Proven understanding of advanced analytics, machine learning systems and Artificial Intelligence pattern recognition techniques, real time telemetry and time series databases, plus common data manipulation and analysis tools and programming languages such as Python (Pandas & Numpy libraries), R, Spark. * A problem solver utilizing Data Analysis, IT Operational Analytics, Business Intelligence and Data Visualization technologies. * Proficient organization skills and able to interact with partners and clients as a professional service provider. * Comfortable being part of a multi-tasking, fast-paced Agile/Kanban/Sprint based team for continuous service delivery and support. * Dedication to fostering an inclusive culture and value diverse perspectives Job: Software Development / Engineering* *Title: *28920 - Data Analyst #185311 Location: India-Pune-Pune Requisition ID: 185311

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