Finance Analytics Engineer: Data Pipelines & Dashboards

Himalaya Wellness Indonesia; Jakarta Pusat; On-site; IDR 150,000,000 - 270,000,000; Full time

Job summary

Himalaya Wellness Indonesia is seeking a Finance Analytics Engineer to design and maintain data solutions for Finance and Commercial teams. You will build data pipelines, govern master data, automate reporting, and create interactive dashboards to support data-driven decisions across markets.

The role requires expertise in Excel, SQL, Python, and dashboard tools (Power BI/Tableau/Looker), with ability to integrate data from SAP and other sources.

Qualifications

• Bachelor's degree in a data-related discipline (Data Science, Analytics, Finance, etc).
• 3+ years of experience in data analytics, BI, data engineering, or reporting automation.
• Proficient in Excel (Power Query), SQL, and Python.
• Hands-on dashboard experience with Power BI, Tableau, or Looker.
• Experience deploying dashboards to web-based servers is a plus.
• Comfortable with data from multiple sources including SAP and non-standard formats.
• Excellent attention to detail with data mapping and validation.

Responsibilities

• Maintain and govern master data for accuracy and integrity across systems.
• Develop and maintain ETL processes to consolidate data from multiple sources.
• Develop, maintain, and enhance interactive dashboards and self-service reporting solutions.
• Automate recurring data processing and reporting workflows using Excel, Python, and other tools.
• Translate business needs into scalable analytical solutions and provide ad hoc analytical support.

Skills

Data analytics

Business intelligence

Data engineering

Reporting automation

Attention to detail

Education

Bachelor's degree in data science / analytics / finance

Tools

Excel

Power Query

SQL

Python

Power BI

Tableau

Looker

SAP

Job description

Himalaya Wellness Indonesia is seeking a Finance Analytics Engineer to design and maintain data solutions for Finance and Commercial teams. You will build data pipelines, govern master data, automate reporting, and create interactive dashboards to support data-driven decisions across markets.

The role requires expertise in Excel, SQL, Python, and dashboard tools (Power BI/Tableau/Looker), with ability to integrate data from SAP and other sources.