Data Expert Opportunity 2025 | HSBC is hiring Data Expert . The working location is Hyderabad
, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Expert Opportunity at HSBC| Hyderabad – Overview
| Company Name: | HSBC |
| Job Role: | Data Expert |
| Location: | Hyderabad |
| Work Mode: | On-site HYBRID |
| Last Date to Apply: | ASAP |
Job Description
If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
Skills Required:
- Strong Data Analysis and/or Data Modeling experience.
- 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 Physical Data Modeling, 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 or Agile methodologies.
Responsibility:
- Work within agile multi-skilled teams to create world class products to serve our customer’s 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”.
- Create/enhance 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 physical table and columns, definitions and appropriate data type and length etc.
- Create and maintain the “target” data models.
