Portfolio Management Analyst at Amartha

Sorong, Southwest Papua, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Portfolio Management, Customer Insights, Business Performance, Segmentation, Cross-Functional Collaboration, Excel, Hive SQL, Python, SAS, R, Spark, Logical Thinking, Communication Skills, Teamwork, Attention to Detail

Industry

Financial Services

Description

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. About The Team Funding Planning and controlling Team is under Funding team, focusing on planning and controlling on funding both of retail and institution lenders to fulfill demand lending from borrowers and this team also work closely with cross functional team and management to align with corporate goals. About The Role As a Portfolio Management Analyst you will be in charge of increasing # of premium lender, active lender, share of wallet, product holding, lowering churn and reporting. As Individual Contributor in Funding team, you will work closely with funding business unit, risk management, operations, marketing, and data science team. Responsibilities Do end to end segmentation activity: create segmentation (segment and subsegment), do portfolio action, controlling for execution, and review the result. Building customer journey for retail and premium lender Generate leads for funding business units for cross-sell/up-sell activities to increase product holding and also sales productivity Identify retail and premium segment both of individual and non individual needs and behavior to generate insights and shape acquisition and retention strategy of this segment Proactively collaborate with business unit team to apply customer insights Formulating various business insights through the use of analytics-driven methodology to find business opportunities and improve business performances Complete preparation of business insights framework from opportunities gathering, data sizing, business presentation and revenue/volume impact analysis Create & analysis report and finding opportunities for funding business Minimum Bachelor’s Degree, any major. 4+ years of work experience in relevant role (data analyst and/or portfolio management) in financial services Have a strong attention to detail and be motivated by a fast paced business environment Strong individual contributor and highly skilled at working effectively with cross functional teams Strong excel skills (pivot, vlookup, hlookup, charting, and other basic excel functions) able to continuously optimize business strategies through analysis Fluent with hive SQL, familiar to use Python, SAS, R, Spark, etc for data analyzing Logical thinking, proactive, strong communication skills, and good teamwork. 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.

Responsibilities

The Portfolio Management Analyst will be responsible for increasing the number of premium and active lenders, managing product holding, and lowering churn. This role involves collaborating with various teams to generate insights and improve business performance through data analysis.