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Data Analyst & Business Analyst

Job Title: Data Analyst & Business Analyst

Location: Pune/Chennai

Position Type: Permanent

Experience: 8 – 12 Years

Skills Required: Business Analyst, Data Analyst, Oracle PLSQL, Data Modeler.

Roles & Responsibilities:

Technical Business Analyst Roles and Responsibilities:

  • Collaborate with SME teams to understand and document existing trading system workflows and processes.
  • Analyze and document requirements for alternative trading processes, ensuring alignment with business goals.
  • Work with technology teams to implement alternative trading processes and ensure system changes meet business needs.
  • Develop and document test procedures and artifacts to support system changes and enhancements.
  • Assist in quality assurance (QA) and user acceptance testing (UAT) with business users to validate system changes.
  • Evaluate the business implications of technology solutions, ensuring they meet the needs of the current business environment.
  • Provide insights and recommendations to optimize trading workflows and support business objectives.
  • Should have Investment Banking domain experience
  • Create conceptual data models toidentifykey business entities and visualize their relationships, defining concepts and rules.
  • Design, develop, test, and publish canonical data models in detail.
  • Proficiencyin data modeling tools such as ER/Studio, ERwin, or similar.
  • Familiarity with data warehousing concepts, data normalization techniques, and data security, encryption, and compliance requirements in the cloud.
  • Proficiencyin SQL, including writing complex queries, stored procedures, and functions.
  • Experience with NoSQL databases and understanding of their data modeling techniques.
  • Present and communicate modeling results and recommendations to internal stakeholders and Development teams, explaining features that mayaRectthe physical data models.
  • Collaborate with engineers and other stakeholders to gather requirements and translate them into data models.
  • Knowledge of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
  • Create comprehensive documentation for data models, data dictionaries, and design specifications

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