Business Intelligence

Monee; Jakarta Utara; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A financial technology company in Jakarta Utara is seeking a Data Analyst to partner with stakeholders for Paylater and Cash Loan products. You will collect and analyze data on loan repayments, build dashboards, and provide insights for strategies. The ideal candidate should have a Bachelor's degree in a related field and proficiency in SQL, Excel, and Python. Competitive environment with opportunities for fresh graduates.

Qualifications

• 2 years of professional experience in a data-related role, fresh graduates encouraged to apply.
• Proficiency in SQL and spreadsheets is required.
• Good communication skills to explain insights to non-technical stakeholders.

Responsibilities

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

Skills

SQL

Data analysis

Communication skills

Analytical problem-solving

Education

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

Tools

Excel

Google Sheets

Power BI

Tableau

Python

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.
• 2 years 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.