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Location
In office (Jakarta)
Seniority
Junior · 1+ year exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Amar Bank is a digital bank headquartered in Jakarta, Indonesia, and founded in 1991 as Bank Anglomas International. The bank operates Tunaiku, an unsecured lending app aimed at borrowers underserved by traditional credit, alongside the Senyumku digital savings product. It is majority owned by the Tolaram Group, is listed on the Indonesia Stock Exchange, and runs almost entirely through mobile channels rather than branches.

Responsibilities

  • Identify gaps and improvement opportunities across C&B, Recruitment, L&D, and People Experience.
  • Streamline processes and implement workflow optimization, automation, and new tools/systems.
  • Lead cross-functional improvement projects and coordinate with internal stakeholders and vendors.
  • Maintain and ensure accuracy, reliability, and governance of People Data in HRIS.
  • Conduct regular data audits and support People analytics needs.
  • Providing data analysis tools or sheets to support daily tasks.

Requirements

  • Bachelor’s degree in Business, Industrial Engineering, Management, Information Systems, or related field.
  • Minimum 1-2 years of experience in process improvement, People operations, HRIS management, or business operations.
  • Strong analytical and problem-solving skills with the ability to map processes and identify root causes.
  • Familiarity with HRIS platforms (e.g., Talenta, BambooHR, Darwinbox, or similar) and understanding of People data structures.
  • Strong project management skills with the ability to manage multiple improvement initiatives simultaneously.
  • Excellent communication, stakeholder management, and collaboration skills across diverse People teams.
  • Willingness to learn new skills and experience.
  • Detail-oriented and love numbers.
  • Having good communication skills and capable of working both individually and in a team.

Bonus Point If

  • Have experience in Banking or Financial Services company.
  • Familiar with Google data analytics ecosystem (Looker, BigQuery, etc).
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