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Data Analyst Operations

Kredivo Group • Digital Banks & Neobanks • Consumer Loans & Pawnshops • Python • SQL • 4 days ago

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Salary

≈ $9k – $22k per year (Estimated)

Location

In office (Jakarta)

Seniority

Junior · 2+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 19, 2026. Kredivo Group scores A on the Alion truth index.

Overview

Company

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Profile match

Kredivo Group

Kredivo Group is a Southeast Asian financial technology group based in Singapore that offers digital consumer credit, including buy now pay later financing for online and offline purchases, personal loans and digital banking. Its brands are Kredivo in Indonesia and Vietnam, KrediFazz, the Indonesian digital bank Krom, the earned wage access platform GajiGesa and the Vietnamese neobank Timo, and its backers include Mizuho Bank, Amazon and Square Peg Capital. It hires backend, Android, QA and data engineers, data scientists, product managers, and underwriting, fraud, collection and portfolio analysts.

kredivocorp.com • HQ: Singapore • Digital Banks & Neobanks • Consumer Loans & Pawnshops • Buy Now, Pay Later • 201-500 employees • Est. 2015

Tech stack of Kredivo Group

Backed by 500 Global, GMO VenturePartners, Open Space Capital

Our Data Analyst will be responsible for conducting data mining and in-depth analysis/research according to the assigned squad. The role will be working closely with the Product Manager and provide recommendations and insights that can enhance our business performance. Last but not least, he/she will also provide ad-hoc support for various projects.

About the Job:

Analyzing data and creating data quality reports.
Performing data reconciliation across multiple sources to ensure the accuracy of data report.
Supporting initiatives for data integrity and normalization.
Ingesting and normalizing customer data.
Communicating with engineering and customer support teams.
Helping our common interface standards (specifications) and collaborating with multiple teams to enhance it as needed.

About you:

At Least 2 Years of Experience and Knowledge of SQL and Database.
Have a good understanding in SQL and Python/R
Have a good abstraction logics
Experience with Machine Learning method (Random Forest Regression, Logistics Regression, K-Means Clustering, Apriori , Eclat, Deep Learning and etc)
Willing to learn something new
Detail oriented
Can able to work as a team and Individually

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