Senior Data Analyst - Growth, Funding Societies | Modalku Group, ID

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.

As a Senior Data Analyst (Growth), you will be part of a fun team which will be working to support all business functions with finance focus in Funding Societies. In short, the function of a data analyst is to understand the needs of the business and use data to derive a solution that you will then present, implement, and track and add value to the company and its performance. In addition to having a knack for problem-solving, it is crucial that you are willing to learn, understand, and hear the needs of our people.

We solve challenging problems. As long as you are adding value to the business, you are your own boss. You’ll get loads of support from your friendly, talented and motivated colleagues.

What you will do:

• Work with international cross-functional product teams to drive new growth, better engage with and understand our customers, build new strategies through better use of data
• Partner with business and tech teams to develop key metrics for success measures (regular business activities and experiments)
• Ingest, process, visualize and analyze new sources of data

• Communicate model results to business and senior management team, proposing recommendations that suits business needs