Data Modeller/Senior Consultant Specialist

Job Description

Some careers shine brighter than others. 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. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role as a Consultant Specialist you will be responsible for the below: Own the requirement gathering and data analysis issues and ensure its resolution by engaging appropriate teams. Leading the discovery of regulatory projects, work with all source system BA s and ensure the data journey is reported. Creation of Business requirement documents. Creation of Functional Scenario s for functional testing if required and with business teams support Create analysis of customer journeys and product functionality, mapping documents and provide inputs for TOR / Project Charter, Test Strategy, Implementation plan, Non-Functional Requirements. Coordinating with business teams to get sign-off for production deployment. Provide Post Production Support after Go-live in terms of addressing business queries. Ensure compliance to HSBC process, procedures, and controls Requirements To be successful in this role, you should meet the following requirements: Design and implement complex data models using advanced data modeling tools. Extensive experience in Data Management MDM, Dimension Data Modeling, Relational Data Model, Conceptual/Logical/Physical Design, ER Diagrams, and Forward and Reverse Engineering. Collaborate with cross-functional teams to gather and analyze data requirements. Develop and maintain data dictionaries and metadata repositories. Integrate data models with cloud-based data platforms and services. Automate data modeling tasks to enhance efficiency and accuracy. Knowledge of data warehousing and ETL processes Strong understanding of database design and architecture Experience in optimizing data models for performance and storage Experience with data integration models Proficiency in SQL and other database languages Knowledge of data governance and security measures Ability to analyze and interpret complex data sets Experience with Big Data technologies and platforms Strong problem-solving skills Excellent collaboration and communication skills Ability to develop and maintain data dictionaries and documentation Knowledge of Banking and Finance data models will be a plus