Data Analytics Intern (Risk)

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Intermediate to advanced SQL skills are required., A passion for data analysis and a desire to learn from the internship is essential., Candidates should demonstrate strong ownership of their tasks and experiences., Proactivity and creativity in problem-solving are highly valued..

Key responsabilities:

  • Perform daily data operations tasks including pipeline checking and root cause analysis.
  • Build automation for finance data alerts and checkers.
  • Assist with dashboard operational tasks such as checking refresh schedules.
  • Support ad-hoc projects and document the finance data glossary as assigned.

Funding Societies | Modalku Group logo
Funding Societies | Modalku Group Financial Services Scaleup https://fundingsocieties.com
201 - 500 Employees
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Job description

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

  • 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:

  • [Data Warehousing] Performing daily data operations tasks, such as pipeline checking, backfilling data, root cause analysis. 
  • [Automation] Build automation for some finance data alerts & checkers
  • [Dashboard] Assist dashboard operational tasks includes checking refresh schedules and updating 
  • [Operational] Support ad-hoc projects or duties and document the finance data glossary  assigned from time to time

Requirements

What we are looking for:

  • Intermediate to Advanced SQL 
  • Passionate aspiring data analyst who knows what they want to learn from the internship.
  • Strong ownership of their tasks/experiences 
  • Proactive and creative (do not wait to be asked to move).

Good to haves:

  • Credit Knowledge 
  • Data Warehousing Experience/Skills
  • Good Airflow Understanding

Required profile

Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Proactivity
  • Creativity

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