Data & Business Intelligence Senior Consultant

Indonesia·Jakartasenior

Business IntelligenceData & AI

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Quick Summary

Key Responsibilities

Objectively and logically provide technical solutions, design proposals, end-to-end data architecture designs, and robust system monitoring approaches.

Requirements Summary

Experienced in a Consulting Company or the Finance industry, specializing in Data and Business Intelligence (BI) transformation, architecture, and IT operations.

Technical Tools

Business IntelligenceData & AI

Responsibilities:

Objectively and logically provide technical solutions, design proposals, end-to-end data architecture designs, and robust system monitoring approaches.
Initiate and facilitate alignment meetings between clients and vendors to accelerate decision-making and technical problem-solving.
Act proactively to drive the core development phases and take full responsibility for the overall smoothness and timely delivery of the poject.
Lead and manage technical delivery teams effectively, providing direction and managing task execution to ensure project success.
Collaborate seamlessly with both internal and external teams, while fostering clear communication and a positive atmosphere among all project teams.
Implement strict quality control across all data processes and standardize overall project deliverables based on the ABeam Project Management methodology.
Keep learning and developing modern technical and consulting skills, as well as actively encourage team members' professional skill development.

Qualifications:

Experienced in a Consulting Company or the Finance industry, specializing in Data and Business Intelligence (BI) transformation, architecture, and IT operations.
Experienced in overall project management and PMO functions (defining scope, managing timelines, gathering business requirements, and tracking delivery) for IT and data implementation projects.
Detail-oriented with strong hands-on experience across the full data lifecycle—specifically utilizing Enterprise Relational Databases (RDBMS), standard ETL/ELT data integration frameworks, event-streaming architectures, and modern BI visualization platforms to extract, stream, analyze, and visualize data logically. Familiarity with SQL Server, SSIS, SSAS, Power BI, Kafka, and Python is highly preferred.
Good communication and interpersonal skills. Ability to confidently engage and discuss with Clients at equivalent level and good at constructing good relationships.
Integrity, curiosity and strong willingness to learn new things from any situation as a professional consultant.
Participate in pre-sales activities as needed to contribute to new business acquisition.
Proficient in English, with strong communication skills (reading, writing, speaking).