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Data Intern

Funding Societies | Modalku Group
CompanyFunding Societies | Modalku Group
CategoryData & Analytics
LocationDelhi
RemoteHybrid
EmploymentFull-time
LevelIntern
SalaryNot stated by the employer
Posted7 Aug 2026
Last verified9 Aug 2026
SourceEmployer ATS (workable)
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Description
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.