Business Intelligence

Monee; Jakarta Utara; On-site; IDR 5.000.000 - 8.000.000; Full time

Job summary

A financial services company in Jakarta Utara is seeking a Data Analyst to partner with credit stakeholders on Paylater and Cash Loan products. The role involves data collection, analysis, and reporting to monitor key performance indicators, along with supporting strategic decision-making. Ideal candidates will have a bachelor's degree in a relevant field and proficiency in SQL and Excel. Fresh graduates are strongly encouraged to apply.

Qualifications

• 0–1 year of professional experience in a data-related role, fresh graduates encouraged to apply.
• Familiarity with BI tools like Power BI or Tableau.

Responsibilities

• Partner for credit stakeholders for Paylater and Cash Loan products.
• Collect, clean, and analyze data related to loan repayments and customer behavior.
• Build dashboards and reports to monitor collections KPIs.

Skills

SQL

Excel

Python

Data analysis

Problem-solving

Education

Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, or related field

Tools

Power BI

Tableau

Job description

Job Description

Partner for credit stakeholders for Paylater and Cash Loan products, need to understand the product, customer, and market needs.

Collect, clean, and analyze data related to loan repayments, delinquency, and customer behavior.

Build dashboards and reports to monitor collections KPIs (e.g., delinquency rates, recovery performance, aging buckets).

Support campaign and experiment analysis, including A/B testing for collection strategies.

Collaborate with BI team members and business stakeholders to deliver data-driven insights that support operational and strategic decision-making.

Provide ad-hoc analysis for the Collections and Project teams.

Contribute to improving data processes, ensuring accuracy, consistency, and reliability of reporting.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, or related field.
• 0–1 year of professional experience in a data-related role (fresh graduates strongly encouraged to apply).
• Proficiency in SQL and spreadsheets (Excel/Google Sheets); familiarity with BI tools such as Power BI, Tableau, or similar.
• Proficiency in Python (for data analysis/modeling) is a strong plus.
• Good communication skills, with the ability to explain insights clearly to non-technical stakeholders.
• Strong analytical and problem-solving skills with great attention to detail.