Data Business Analyst & AI Engineer

Infosys Compaz (iCompaz); Singapore; Presencial; SGD 120 000 - 180 000; Tempo integral

Resumo da oferta

Infosys Compaz (iCompaz) is seeking a Data Business Analyst and AI Engineer to bridge business requirements with enterprise data and AI-enabled delivery. You will collaborate with business users and technology teams to understand reporting and operational needs and deliver reliable analytical and AI solutions.

The role emphasizes data mapping, reconciliation, and validation, enhancement of Qlik dashboards, and contributing to AI use cases such as natural-language data access and document

Qualificações

• 5-10+ years of relevant experience in a similar role.
• Strong SQL, data profiling, mapping and data validation.
• Qlik reporting, dashboard analysis and analytical applications support.
• Python and Snowflake for data and AI solution development.
• Generative AI concepts, including prompt engineering and AI agents.

Responsabilidades

• Bridge business requirements, enterprise data and AI-enabled delivery.
• Collaborate with business users and technology teams to define reporting needs.
• Perform data mapping, reconciliation and validation; enhance Qlik dashboards.
• Contribute to AI use cases such as document intelligence and configurable agents.

Conhecimentos

Business analysis

Requirements elicitation

User stories

SQL

Data profiling

Data mapping

Data validation

Generative AI

Ferramentas

Qlik

Snowflake

Python

Descrição da oferta de emprego

The Data Business Analyst and AI Engineer will bridge business requirements, enterprise data and AI-enabled delivery. The role will work directly with business users and technology teams to understand reporting and operational needs, analyze complex datasets, define functional and data requirements, and deliver reliable analytical and AI solutions.

The candidate will support sustainability, portfolio and investment-data applications; perform data mapping, reconciliation and validation; enhance Qlik dashboards; and contribute to AI use cases such as natural-language data access, document intelligence and configurable agents. Responsibilities include requirements workshops, user stories, solution analysis, prototyping, testing, release support, production issue investigation and documentation.

The role requires 5-10+ years of relevant experience, strong SQL and business-analysis capability, working knowledge of Qlik and Snowflake, and practical experience with Python and modern generative-AI patterns. Experience in investment management, sustainability data and regulated enterprise environments is advantageous.

Skill requirements:

• 5-10+ years of relevant experience in a similar role
• Business analysis, requirements elicitation, user stories and functional specifications
• Strong SQL, data profiling, mapping, reconciliation and data validation
• Qlik reporting, dashboard analysis and analytical application support
• Python and Snowflake for data and AI solution development
• Generative AI, prompt engineering, retrieval-augmented generation, AI agents and document intelligence