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.

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.

Job Designation : Software Data Analyst

Salary : 9 LPA – 15 LPA

Qualification : Bachelor’s / Master’s Degree

Experience : Freshers / 0 – 3 years

Skill Set :

  1. Good knowledge of programming languages C, C++, Java,Python etc.
  2. Detail knowledge of data management framework – data governance, data privacy, business architecture and data quality.
  3. Knowledge of Conceptual/Logical Data Modelling, exposure to Data Governance, Metadata Management, Data Quality assessment and controls implementation using Collibra.
  4. Should possess advanced knowledge of Data Modelling and Metadata management
  5. Understanding of Graph Database / Knowledge Graph is desirable.
  6. Good  knowledge of SAS, SQL, VBA, Unix, Qlik, R, Python, CRM tools such as PEGA, other BI tools and Data technologies)
  7. Strong analytical skills with business analysis aptitude.
  8. Ability to comprehend intricate and diverse range of business problems and analyse them with limited or complex data and provide a feasible solution framework. Experience on working on Data/Information Management projects of varying complexities.

Functional requirements

  1. Knowledge and understanding of financial-services/ banking-operations in a Global Bank.
  2. Understanding of accounting principles, data flows and regulatory landscape – BCBS239, B3R, CCAR, IFRS9 etc.
  3. Familiarity of implementing data management with one of the following frameworks – DAMA / TOGAF / FIBO / EDM

Soft Skills requirements

  1. Ability to work in cross-functional teams. Strong interpersonal skills and drive for success
  2. Written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas. Ability to build strong relationships both internally and externally.

Job Description :

The role holder will report to the India Lead for Data Management within Data and Analytics Office (DAO). He / She will help execute services defined under the Group Data Utility service catalogue for one or more work stream and ensure effective implementation of Data Management Framework across regions. This includes operating a Data Management pillar within DAO while partnering with IT teams to prioritise and meet business requirements.

The role holder will support the India Work Stream to engage stakeholders & SMEs from Businesses and Functions to understand and assess regulatory & HSBC’s Data Management policy requirements. The role holder will be responsible for analysis and documentation of data management best practices, including data standards, lineage, quality & process level controls; and determining trusted source for critical data sets. The role holder is expected to apply and uphold HSBC’s standards and guidelines at all times.

  1. Analyse and translate business needs into long-term data solutions
  2. Create and govern a central Business Data Glossary used across the enterprise
  3. Deliver conceptual and logical data model using HSBC’s Metadata methodology
  4. Documentation of data standards, Business and Data Quality Rules
  5. Support HSBC’s Data Management Framework through data governance services
  6. Build self-service visualization capabilities using RDF Knowledge Graph to derive insights
  7. Advice business and IT stakeholders using Knowledge Graph to establish Lineage and determine Trusted Sources
  8. Engage with stakeholders to understand requirements for metadata governance and coordinate meetings with SMEs / Data Governors
  9. On-board critical data sets to establish Governance framework using group strategic tools – COLLIBRA
  10. Develop, maintain and optimize meta-models for data supporting key processes
  11. Coordinate engagement with Business and IT teams to provide support on analysis and documentation of metadata

Location : Hyderabad, Telangana, India