Finance Analytics Engineer APAC (Based in Kelapa Gading)

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

Purpose 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

Purpose 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

Data Engineering (ETL)

• Design, develop, and maintain ETL processes to consolidate data from multiple sources
• Automate recurring data processing and reporting workflows

Business Intelligence

• 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