ABOUT AMARTHA

At Amartha, we empower micro-businesses across Indonesia, enabling growth and equal prosperity. We’ve supported over 2.7 million entrepreneurs—mostly women—by disbursing IDR 22.8 trillion in funding. As we step into 2025, Amartha is evolving into a technology-driven financial ecosystem, expanding our reach in lending, funding, and payments. Through innovation and digital solutions, we aim to enhance accessibility, streamline processes, and create a seamless user experience.

REQUIREMENTS

• Bachelor’s degree in Mathematics, Statistics, Finance, Information Systems, or related fields.
• 2–5 years experience in MIS reporting, analytics, or similar roles in collections or credit risk.
• Proficient in SQL, Excel (advanced), and one or more data visualization tools (e.g., Power BI, Tableau).
• Knowledge of collections processes, delinquency stages, and performance metrics.
• Strong analytical skills and attention to detail.
• Ability to communicate insights clearly to both technical and non-technical stakeholders
  At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth.
  We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions

• Develop and maintain MIS reports for collections performance, delinquency trends, agent productivity, and recovery rates.
• Monitor KPIs across portfolios (e.g., early buckets, NPLs) and provide weekly/monthly dashboards to management.
• Analyze historical data to recommend strategies for improving collection efficiency and reducing defaults.
• Collaborate with collections, credit risk, and data teams to ensure timely and accurate data flow.
• Automate and optimize reporting processes using SQL, Excel VBA, or BI tools (Power BI/Tableau).
• Conduct segmentation analysis (e.g., high-risk vs. low-risk borrowers) and support decision-making on treatment strategies.
• Track effectiveness of collection campaigns and dialer strategies; suggest improvements based on data insights.
• Ensure data accuracy, integrity, and compliance with regulatory standards (e.g., OJK regulations if in Indonesia).