Data Analyst & Data Modeler / Business Analyst Job Alerts At HSBC – WFH (Hybrid)

Qualifications

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

• 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.
• 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 (preferable), Visual Paradigm (preferable).

Job Description & Responsibilities:

HSBC is currently seeking an experienced professional to join our team in the role of Business Analyst

In this role, you will:

•  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.