Data Analyst Operations
Jakarta Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Kredivo Group. Jakarta · full-time.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SeniorityMid-level
LocationJakarta
EmploymentFull-time
PostedOct 22, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Mine and examine data for your assigned squad, then give product managers recommendations to improve business performance
- Build data quality reports and compare records across sources to check that reports are accurate
- Ingest customer information and help maintain its integrity through normalization
- Work with engineering and customer support on shared interface specifications, improving them with other teams
- Provide analysis and research for assigned work, plus support on unplanned projects
What you bring
- At least two years of experience, with knowledge of SQL and databases
- You understand SQL and Python or R, and can reason through abstract problems
- You have experience with machine learning methods such as regression, clustering or association analysis
Who this fits
This mid-level role suits someone who can work both independently and as part of a team. Attention to detail and willingness to learn are stated expectations.
From the employer
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