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

Secondary Skills :

SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable)

"In this role, you will :

- 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.

To be successful in this role, you should meet the following requirements :

- 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 & Tools : SQL, MS-Office tools, GCP Big Query, Erwin, Visual Paradigm (preferable)."