Data Analyst Operations

Kredivo; Jakarta Pusat; On-site; IDR 133,920,000 - 267,840,000; Full time

Job summary

Kredivo is seeking a Data Analyst to conduct data mining and in-depth analysis in collaboration with the Product Manager. The role focuses on delivering insights and recommendations to boost business performance and providing ad-hoc support for various projects.

Responsibilities include data analysis, quality reporting, data reconciliation, data normalization, and cross-team communication to improve data interfaces and standards.

Qualifications

• At least 2 years experience with SQL and databases.
• Proficient in SQL and Python/R.
• Experience with machine learning methods (Random Forest, Logistic Regression, K-Means, Apriori, etc.).

Responsibilities

• Analyze data and create data quality reports.
• Perform data reconciliation across sources to ensure report accuracy.
• Support initiatives for data integrity and normalization.
• Ingest and normalize customer data.
• Communicate with engineering and customer support teams.
• Collaborate to enhance interface specifications and standards across teams.

Skills

SQL

Python

R

Data analysis

Machine learning

Job description

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
• 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