AI-Driven Retail Business Analyst

Digital Place Vision Pte Ltd

Indonesia

On-site

IDR 120,000,000 - 180,000,000

Full time

4 days ago
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Job summary

Digital Place Vision Pte Ltd in Indonesia (Tangerang) is seeking a Business Analyst to work closely with clients and cross-functional tech teams to identify business improvements and apply AI/machine learning where suitable.

You will translate business challenges into practical solutions, engage stakeholders across departments, and help deliver measurable business value through data-driven insights and process enhancements.

Qualifications

  • Bachelor's degree in Business or related field.
  • At least 3 years' experience as a Business Analyst.
  • Experience in retail, supply-chain or FMCG is a plus.
  • Strong communication and presentation skills.
  • Experience with data visualization tools.

Responsibilities

  • Engage with clients to understand objectives, challenges, and identify AI/machine learning opportunities.
  • Gather requirements from stakeholders across senior management, IT, and SMEs.
  • Analyze existing processes to identify improvements and automation.
  • Develop recommendations and improvement plans aligned with business goals.
  • Collaborate with technology teams to translate requirements into practical solutions.
  • Support PoC development and demonstration of business value to clients.
  • Communicate findings and recommendations to stakeholders clearly.
  • Coordinate with teams in Indonesia and other countries to support delivery.

Skills

Stakeholder management
Business analysis
Requirements gathering
Data visualization

Education

Bachelor's degree in Business

Tools

Tableau
Power BI
Apache Superset

Job description

Digital Place Vision Pte Ltd in Indonesia (Tangerang) is seeking a Business Analyst to work closely with clients and cross-functional tech teams to identify business improvements and apply AI/machine learning where suitable.

You will translate business challenges into practical solutions, engage stakeholders across departments, and help deliver measurable business value through data-driven insights and process enhancements.

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