BI Analyst

About Atome Financial Headquartered in Singapore, Atome Financial is building a world-class tech enabled financial services platform that is the best companion of our customers lifetime. As a part of the Advance Intelligence Group, a Series D fintech unicorn and ranked Top 10 on LinkedIn’s 2023 Top Singapore StartUps list with over 1,400+ staff worldwide, we are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities. Atome Financial operates in 5 ASEAN markets (Singapore, Malaysia, Indonesia, Philippines, and Thailand). We have 3 key products:• Atome BNPL: A leading buy now pay later brand in ASEAN and partners over thousands of online and offline brands• Atome Card: A paylater anywhere card.• Kredit Pintar: A leading Indonesia digital lending apps, regulated and supervised by Indonesia's Financial Services Authority (OJK). Our culture is built on values that are core to who we are and what we stand for:

1. We foster an INNOVATION mindset
2. We achieve results with EFFICIENCY and excellence
3. We take pride in the QUALITY of our work
4. We uphold INTEGRITY in all we do
5. We embrace COLLABORATION to work across business lines and borders

Job Descriptions:
 

1. Extract and process huge amount of data from various sources on the internal big-data platform.

2. Work closely with the risk & product department, to help provide insights for decision making and to develop/maintain effective data visualization.

3. Understand the modelling skills of data warehouse. Can work on top of the data warehouse and provide feedback on new data requests.
 

Job Requirements:

1. Bachelor’s / Master’s Degree in Computer Science/IT/Statistics/Engineer or any other related fields.

2. At least 1-2 years experience in business intelligence analytics.

3. Proficient in writing SQL queries.

4. Ability to work with complex data sets.

5. Strong communication and presentation skills, as well as an analytical mindset.
 

Preferred Qualifications:

1. Familiar with Tableau.

2. Familiar with Apache Spark.

3. Familiar with Python

4. Experience in product operations analytics in an e-commerce or similar industry.

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