Data Intern
Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers.
Here at Funding Societies | Modalku we live by our core values GETFS:
- Grow Relentlessly: Strive to become our best, most authentic selves.
- Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
- Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
- Focus on Impact: Create impact through bias for action and tangible results.
- Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
Role Overview
We're looking for a Data Intern to support analytics operations through reporting and analysis, while experimenting with AI-driven automation to reduce manual effort. This role sits at the intersection of data operations and insight. You'll work with real-world data, help answer real business questions, and learn how analytics teams scale impact.
Key Responsibilities
- Reporting & Data Support: Run recurring and ad-hoc report pulls from dashboards, databases, and analytics tools, validating data accuracy, investigating anomalies, and supporting dashboard updates, fixes, and basic troubleshooting.
- Analysis & Insight: Perform basic exploratory analysis to help explain trends, changes, or outliers in reports, and translate data outputs into clear, concise summaries for decision-making.
- AI & Automation: Use AI tools to generate and refactor SQL queries, automate recurring report pulls and summaries, and assist with data validation and QA checks, and help prototype lightweight automations that reduce repetitive analytics work.
- Documentation & Knowledge Support: Contribute to documentation of SOPs, report and metric definitions, and the team's shared knowledge resources as workflows are automated.
- Currently pursuing or recently completed a degree in data analytics, data science, computer science, statistics, mathematics, or a related technical field.
- Strong analytical and problem-solving skills.
- Proficiency in SQL, Python, and data visualisation tools.
- Strong attention to detail and clear written communication.
- Ability to work independently and manage multiple projects simultaneously.
- Flexible working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
- Mental health and wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching.
- Tech support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity
Interested to know more about us? Learn about our Stories here.
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