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Data Analyst Risk - Collection

Kredivo

Daerah Khusus Ibukota Jakarta

On-site

IDR 200.000.000 - 300.000.000

Full time

Today
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Job summary

A financial services provider in Jakarta is seeking an analyst to monitor collection performance indicators, collaborate with the collections team, and implement data-driven strategies. The ideal candidate has a minimum of 2 years in analytics roles, strong knowledge of data analysis tools, and excels in a fast-paced environment.

Qualifications

  • Minimum 2 years of experience in analytics roles within financial services.
  • Strong knowledge of data analysis and statistical tools.
  • Ability to contribute consistently in a fast-paced environment.

Responsibilities

  • Monitor Collection performance indicators and present insights.
  • Work with the collections team to align strategy and operations.
  • Evaluate and adjust collection strategies through data-driven decision-making.

Skills

Data analysis
Statistical tools (SQL, Python, SAS, R)
Problem-solving
Attention to detail
Job description

About the job:

  • Monitor key Collection performance indicators. Present any findings/insights and actionable recommendations to management in a weekly regular meeting.
  • Work closely with the collections team to ensure alignment between strategy and operations.
  • Regularly evaluate and adjust collection strategies through data-driven decision-making and feedback loops.
  • Work with data science team to integrate advanced analytics into collection strategies.
  • Continuously implement A/B testing for different collection strategies to determine which approaches are most effective and optimize recovery.
  • Actively identify opportunities to improve Collection performance.
  • Participate on new product/program launch and process change implementation.

About you:

  • Minimum 2 years of experience in analytics roles within financial services, preferably in collections(Capacity Planning, Target Calculation).
  • Strong knowledge of data analysis and statistical tools (e.g., SQL, Python, SAS, R).
  • Analytical and creative problem solver, with flexibility to accommodate business needs.
  • Attention to detail and high accountability.
  • Ability to contribute consistently and positively in a fast-paced environment.

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