Virtusa
Data Modelling
Job Description
GDT WPB DF Data Expert JD:
Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.
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