Job Description
Full details about the role and requirements
Yukerja Summary
The Finance Analytics Engineer role at Himalaya Wellness is curated from JobStreet (category Keuangan & Perbankan). Note the work location (Kelapa Gading, Jakarta) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
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