Data Analytics Intern (Growth)

Data Analytics 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:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• 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.

As a Data Analytics Intern, you will be part of a larger Data Analytics team and work directly with a senior data analyst, to communicate your findings and build strategies around them.

What you will do:

• Provide support to overall Data Analytics team, specifically Growth domain
• Understand business problems from the department, identify and document requirements and data needed to solve them
• Performing daily data operations tasks, such as debugging errors, fixing dashboards & other ad hoc tasks
• Work closely with datasets to build data visualisation and dashboards that inform strategic planning and sound business decisions
• Understand functional and technical requirements to build reports that deliver actionable insights to key stakeholders
• Identify and Automate any repetitive tasks currently performed by team members

What we are looking for:

• Good SQL knowledge - Should possess core skills in querying and processing data
• Demonstrates problem-solving abilities and exercise sound judgment and common sense in decision-making
• Strong ownership of tasks & responsibilites
• Sensitive to data integrity and understand the significance of data quality to ensure accurate analysis
• Strong communication skills to comprehend business requirements and engage effectively with stakeholders.
• A proactive, resourceful attitude that encourages self-driven learning while actively seeking available mentorship and guidance.

Interested to know more about us? Learn about our Stories .