- Strong Data Analysis and Data Modelling experience of 812 years.

- Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, and 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 and technical teams to successfully deliver the projects.

- Other Skills Tools: SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.

Skills:

Mandatory Skills: Data Vault (ODS) Modeling, Dimensional Data Modeling, ERWIN, TOAD Data Modeler