Data Analytics Engineer

Pengiklan Anonim; Jakarta Utara; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Pengiklan Anonim is seeking a Data Analytics Engineer to support data processing, regulatory reporting, automation, and business analytics in a fintech context. You will develop SQL and Python-based ETL processes, prepare regulatory reports, automate recurring tasks, and provide reliable data insights to support decisions.

You will collaborate with Finance, Compliance, Product, and Operations teams in a fast-paced environment, ensuring data accuracy, documentation, and scalable data workflows

Qualifications

• Bachelor's degree in CS/IS/Statistics/Engineering or related
• 2+ years in Data Analytics/BI/DE or similar
• Proficiency in Python for ETL and automation
• Strong 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

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.

Skills

Python

SQL

ETL

Linux

English

Education

Bachelor's degree

Tools

Git

REST APIs

JSON

Cron

Job description

About the role

We are looking for a Data Analytics Engineer to support data processing, regulatory reporting, automation, and business analytics. You will develop SQL and Python-based ETL processes, prepare regulatory reports, automate recurring tasks, and provide reliable data and analytical insights to support business decision-making.

You will work closely with Finance, Compliance, Product, and Operation teams in a fast-paced fintech environment.

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.
• 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 Android/iOS application architecture.
• Knowledge of machine learning concepts (e.g., regression, classification) and data preparation for model training.
• How many years\' experience do you have as a Data Analytics Engineer?