Jr. Analytics Engineer

BitHealth; Banten; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

BitHealth in Indonesia is seeking a data engineer to build and maintain data pipelines, data models, and performance optimizations for analytics. You will work with SQL, Python, PySpark, and cloud platforms to enable accurate, scalable BI and dashboards.

Join a collaborative team, translate business needs into robust data solutions, and ensure data quality through validation and testing while documenting processes for maintainability.

Qualifications

• Proficient in SQL and Python for data processing.
• Experience with large-scale data tools (e.g., PySpark).
• Strong data modeling skills (fact/dimension tables).
• Familiar with ETL/ELT pipelines and data workflows.
• Experience with cloud data platforms (Fabric, AWS, or GCP).
• Ability to translate business needs into data models.
• Understanding of how data supports dashboards and analytics.

Responsibilities

• Build and maintain data pipelines and transformations for analytics/reporting.
• Create clean, structured datasets that are easy for BI tools and analysts to use.
• Design data models (fact & dimension tables) for scalable analytics.
• Write and manage data processes using SQL, Python, and PySpark.
• Ensure data quality through validation and checks.
• Optimize data performance (faster queries, efficient tables).
• Define metrics, data logic, and business rules clearly.
• Work with stakeholders to turn business needs into data solutions.
• Support dashboards, reporting, and self-service analytics.
• Follow best practices (testing, documentation, deployment).

Skills

SQL

Python

Data modeling

Business requirements

Dashboards/analytics

Tools

PySpark

Cloud platforms (Fabric/AWS/GCP)

Job description

Responsibilities

• Build and maintain data pipelines and transformations for analytics/reporting
• Create clean, structured datasets that are easy for BI tools and analysts to use
• Design data models (fact & dimension tables) for scalable analytics
• Write and manage data processes using SQL, Python, and PySpark
• Ensure data quality through validation and checks
• Optimize data performance (faster queries, efficient tables)
• Define metrics, data logic, and business rules clearly
• Work with stakeholders to turn business needs into data solutions
• Support dashboards, reporting, and self-service analytics
• Follow best practices (testing, documentation, deployment)

Qualifications

• Knowledge in SQL and Python
• Experience with large-scale data tools (e.g., PySpark/Spark)
• Good understanding of data modeling (fact/dimension tables)
• Familiar with ETL/ELT pipelines and data workflows
• Experience with cloud data platforms (Fabric, AWS, or GCP)
• Understand how data is used in dashboards and analytics tools
• Able to translate business needs into data models