Business Analyst

1 month ago


Doha, Qatar Luxoft Full time
Project Description Information and Document Systems is a global technology change and delivery organization comprising nearly 200 individuals located mostly in Switzerland, Poland and Singapore. Providing global capturing and document processing, archiving and retrieval solutions to all business divisions focusing on supporting Legal, Regulatory and Operational functions. At the moment developing strategic greenfield project to build large-scale digital archive for documents and records, that will gradually replace all existing archiving solutions in the bank, and to build an operational document store, that should become a single point of truth for document workflows. The whole system must scale linearly, be fault-tolerant, and handle petabytes of data. Within our organization, you would be working on the Product Development project, with the SCRUM Teams consisting of Developers, DevOps, Business Analysts and Quality Analysts/Testers. Technologies and frameworks used: - Development is based on Scala, Java and Javascript language - Our program has implemented Scaled Agile Framework (SAFe) with focus on sub-streams/projects working in SCRUM - JIRA, Confluence, PPM tools, GitHub would be mostly used by you on a daily basis - Event Driven Architecture with Kafka as event store and Kafka Streams for event streaming - Reactive streams for streaming data over HTTP: Akka HTTP/Streams - Non-blocking concurrency: Akka, Monix - FP abstractions: Cats Responsibilities Analyse Legacy Data Models to determine attribute usage/business purposeInterpret data, analyse results using statistical techniques and provide ongoing reportsMap and specify the required transformations from the source data model to the target data modelAnalyse Legacy System to capture any upstream and downstream systems which interface with itSummarise technical requirements to migrate upstream and downstream systems to the Target SystemLocate and define new process improvement opportunities Skills Must have Proven working experience as a data analystTechnical expertise regarding data models, database design development, data mining and segmentation techniquesStrong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracyExperience of manipulating data with a variety of tools such as SQL Server, MS Access and MS ExcelUnderstanding of Data Migration ETL Process Nice to have Agile Experience Languages English: C1 Advanced Seniority Senior Relocation package If needed, we can help you with relocation process. Vacancy Specialization Business Analysis Ref Number VR-79574
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