Data Analytics Engineer

Deskripsi pekerjaan

Key responsibilities

• Develop and optimize SQL queries for data extraction, transformation, and reporting.

• Build and maintain Python scripts for ETL, automation, and data validation.

• Prepare, validate, and automate regulatory reports (SLIK, PUSDAFIL, FDC, APOLO, etc.).

• Provide accurate datasets and analytical reports for internal stakeholders.

• Analyze data to identify trends, anomalies, and business insights.

• Develop and maintain automation scripts and scheduled jobs (Cron or similar).

• Support machine learning initiatives by preparing datasets and maintaining data dictionaries and documentation.

• Collaborate with developers to understand APIs, backend systems, and application data flows.

• Ensure data accuracy, consistency, and proper documentation.

What we're looking for

• Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.

• 2+ years of experience in Data Analytics, Business Intelligence, Data Engineering, or a similar role.

• Strong SQL skills.

• Proficiency in Python for ETL and automation.

• Good understanding of relational databases and Linux.

• Strong analytical and problem-solving skills.

• Good written and spoken English.

• Able to work independently in a fast-paced environment.

Preferred

• Experience in fintech, banking, or other regulated industries.

• Experience with regulatory reporting.

• Familiarity with REST APIs, JSON, Git, and Cron jobs.

• Basic understanding of web and software development (Java, PHP, HTML, CSS, JavaScript).

• Basic understanding of Android/iOS application architecture.

• Knowledge of machine learning concepts (e.g., regression, classification) and data preparation for model training.