Finance Analytics Engineer

PT Himalaya Wellness Indonesia; Jakarta Utara; On-site; IDR 180,000,000 - 360,000,000; Full time

Job summary

PT Himalaya Wellness Indonesia is seeking a Finance Analytics Engineer to develop and maintain data pipelines, master data, and automated reporting for Finance and Commercial teams in Jakarta. You will design ETL processes, build dashboards, and enable data-driven decisions across markets.

The role requires 3+ years in data analytics or BI, strong Excel/Power Query, SQL, Python, and experience with Power BI/Tableau/Looker.

Qualifications

• Bachelor's degree in data analytics or related field.
• Minimum 3 years in data analytics, BI, data engineering, or reporting automation.
• Strong Excel, SQL, and Python skills.
• Experience with Power BI, Tableau, or Looker dashboards.

Responsibilities

• Manage master data governance and ensure data integrity across systems.
• Design ETL processes and automate data workflows for finance and commercial teams.
• Develop dashboards and self-service reporting for multiple markets.
• Collaborate with business partners to translate needs into scalable analytics solutions.

Skills

Excel

Power Query

SQL

Python

Power BI

Tableau

Looker

Education

Bachelor's degree in Data Science / Data Analytics / Business Analytics / Finance

Tools

SAP

Job description

The Finance Analytics Engineer is responsible for developing and maintaining data solutions that enable accurate, timely, and actionable business insights for Finance and Commercial teams. This role designs and manages data pipelines, maintains critical master data, automates business processes, and develops interactive dashboards to support data-driven decision-making across multiple markets and business functions.

Key Responsibilities

Data Management & Governance

• Maintain and govern business master data to ensure accuracy, consistency, and integrity across systems
• Develop and implement data validation, reconciliation, and quality control processes
• Document data definitions, business rules, and data transformation logic
• Design, develop, and maintain ETL processes to consolidate data from multiple sources
• Automate recurring data processing and reporting workflows
• Develop, maintain, and enhance interactive dashboards and self-service reporting solutions
• Build standardized datasets to support consistent business reporting across markets

Automation & Digital Solutions

• Identify opportunities to automate manual business processes
• Develop automation solutions using Excel, Python, and other technologies to improve operational efficiency
• Support deployment and maintenance of web-based analytics solutions

Business Partnership

• Translate business needs into scalable analytical and reporting solutions
• Provide analytical support for strategic initiatives and ad hoc business requests

Requirements

• Bachelor's degree in Data Science, Data Analytics, Business Analytics, Finance, or a related discipline
• Minimum 3 years of experience in data analytics, business intelligence, data engineering, or reporting automation (FMCG experience will be a plus)
• Good proficiency in Excel (including Power Query), SQL, and Python
• Hands-on experience building dashboards in Power BI, Tableau, or Looker
• Experience deploying a dashboard to a web-based server is an advantage
• Comfortable working with data from multiple sources, including manual/Excel-based inputs and non-standardized formats, in addition to system-generated data (e.g. SAP)
• Excellent attention to detail, with the ability to perform detailed data mapping and validation