Data Analyst Operations

Kredivo Group; Jakarta Pusat; On-site; IDR 100,000,000 - 180,000,000; Full time

Job summary

Kredivo Group is seeking a Data Analyst to conduct data mining and in-depth analysis in collaboration with the Product Manager. You will provide actionable insights to improve business performance and support ad-hoc projects across squads.

Responsibilities include data quality reporting, data reconciliation, data normalization, and cross-team communication to refine interface specifications. You will work both collaboratively and independently to deliver accurate results.

Qualifications

• 2+ years of experience with SQL and databases.
• Strong SQL and Python/R understanding.
• Good abstraction logic.
• Experience with machine learning methods (Random Forest, Logistic Regression, K-Means, Apriori, Eclat, Deep Learning, etc).
• Willing to learn new things.
• Detail oriented.
• Team player and able to work individually.

Responsibilities

• 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.

Skills

SQL

Python

R

Data analysis

Teamwork

Detail oriented

Tools

Database

Machine Learning

Scikit-learn

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
• 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