Data Analyst Intern (Risk)

Company Overview

AwanTunai is the leading vertical fintech player digitizing the offline FMCG supply chain in Indonesia. We solve for both operational and financing pain points through ERP software and integrated embedded financing for offline suppliers. Our traditional suppliers have aggregate annual sales of over $3bn+ and our embedded financing is on track to reach the annualized $1bn milestone next quarter. We have been growing revenues at an average 30% QoQ with 0.2% credit loss rates over the pandemic period across hundreds of traditional suppliers.

Our financial impact has won accolades from the UNCDF, Monetary Authority of Singapore, and with the IFC (World Bank Group) as a major shareholder. Management and our impact focused shareholders are committed to building a world class team regardless of diversity or location. 

Our fraud management has won the trust of global banking groups (MUFG, OCBC), the largest local institutions (Bank BRI, Bank Mandiri), as well as global insurers (AA rated Munich Re) who protect our loan assets against credit default.

Role

AwanTunai is looking for a Data Analyst Intern who will be working closely with the Risk team to gather and analyze data, create reports and visualizations, and collaborate with stakeholders to address business challenges, as well as monitor KPIs, conduct deep-dive analyses to identify root causes, and propose data-driven solutions to optimize performance.

Responsibilities

• Gather, clean, and interpret data from various sources.

• Create reports, charts, and dashboards to present insights effectively.

• Collaborate with business stakeholders and the data team (data analysts, data engineers, machine learning engineers).

• Deliver insights, reports, visualizations, and analyses to address business problems and optimize growth opportunities.

• Implement and monitor business KPIs to provide data-driven recommendations.

• Conduct deep-dive analyses to troubleshoot issues and identify root causes.

• Propose data-driven solutions to mitigate risks and improve business performance.

Requirements

• Final-year student pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Fresh graduates are also encouraged to apply.

• Strong analytical and problem-solving skills with high attention to detail.

• Familiarity with data visualization tools (e.g., Tableau, Power BI).

• Knowledge in SQL and Python.

• Excellent communication and teamwork skills.

• Proactive learner with a willingness to contribute to a collaborative environment.