FinTech Data Analytics Engineer - ETL & Regulatory

Pengiklan Anonim; Jakarta Utara; In loco; IDR 180.000.000 - 300.000.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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

Mansioni

• 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.

Conoscenze

Python

SQL

ETL

Linux

English

Formazione

Bachelor's degree

Strumenti

Git

REST APIs

JSON

Cron

Descrizione del lavoro

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