Analyst

Skill: Data Modeler

• 5+ years of IT experience with good communication skills and having knowledge in banking domain, specifically in Finance, Risk , banking card & retail business.

• Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders.

• Good to have knowledge in cloud database like Snowflake, Redshift.

• Focuses on bank-wide data modeling and database design (Conceptual, Logical and Physical Design) using traditional and advance data approach.

• Having knowledge of any Industry reference model.(good to have)

• Defines data/information architecture standards, structure, attributes and nomenclature of data elements, and applies accepted data content standards to technology projects.

• Advises on consistent business analysis, data acquisition, and access analysis and design, Data Management Systems optimization, load strategy design and implementation, as well as data-related security and change management.

• Collaborates with Engineering and ETL teams on data model, its maintenance and optimization as well as end-to-end data driven integration strategy.

• Develops a metadata management and repository strategy to manage all enterprise information architecture project artifacts.

• Ensure the to-be model is inclusive of integration of data across systems, collection, storage, processing, management, governance and analysis of data.

• Work closely with Business application teams , business analyst, data analyst and database administrators and reporting team to ensure solution meets business requirements.

• Experience with data modelling tools such as Erwin (mandatory), Magic Draw (good to have).

• Expertise in RDBMS, Warehouses, Bigdata ( Hive).

Additional Preferences:

• Candidate should have Banking & finance domain experience.

• Hands on with Data Modeling tools.

• Experienced with coding tools - Visual Studio.

• Understanding of any programming language Java, JSON, etc.

• Should be able to lead the discussion with technical expertise.

• Adapt to learn new tools and technologies and explore on it.

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