FoJobPreviewBackLink:Senior Technical / Jakarta (central)

id/x partners is a consulting firm specializing in Data Analytics, Decisioning, and RegTech solutions. Since 2006, we have helped 75+ leading financial institutions, multifinance companies, fintechs, and insurers optimize portfolio profitability, streamline risk management, and enhance business processes through advanced analytics and technology.

We are looking for a Technical Consultant to join our dynamic team. You will play a key role in implementing, configuring, and optimizing data-driven technology solutions to help clients achieve measurable business results.

You will be responsible for:

  • Analyze client requirements and translate them into configuration specifications and implementation plans.
  • Design and configure data structures, workflows, and logic to meet business and technical requirements.
  • Coordinate project activities and timelines, ensuring milestones and deliverables are met on schedule.
  • Work closely with internal teams and clients to validate system functionality and data accuracy.
  • Conduct system and data testing, identify issues, and implement effective solutions.
  • Provide technical advice and support during implementation, including user training and post-go-live assistance.
  • Continuously evaluate and optimize system configurations to improve efficiency and data reliability.
  • Communicate clearly and effectively with various stakeholders, ensuring alignment and proactive issue management.

Requirements:

  • Bachelor's degree in Computer Engineering, Informatics, Information Systems, or related field.
  • 3–5 years of hands-on experience in IT software implementation and data configuration.
  • Proven experience in project coordination, communication, and stakeholder management.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Knowledge of data management, data mapping, or data integration is highly desirable.
  • Experience with full SDLC methodologies and configuration-based solutions.
  • Exposure to data warehouse or analytics projects is a plus.
  • Minimum pre-intermediate English proficiency (verbal and written).
  • Strong collaboration, time management, and an ownership mindset.