Analytics Engineer

Jakarta Selatan | Work From Office | Full-time

At SKINTIFIC, we are continuously expanding our data and commercial analytics capabilities across nationwide Modern Trade operations.

We are looking for an MT Analytics Engineer who will play a critical role in strengthening analytics infrastructure, automation workflows, and commercial analytics support for the Modern Trade business team. This role combines analytics engineering, reporting automation, and business-facing analytics to support scalable and data-driven decision making in a fast-paced FMCG environment.

This position is ideal for someone who is technically strong, commercially aware, proactive, and comfortable operating across both technical and business domains.

• Develop and maintain ETL/ELT pipelines, orchestration workflows, and reporting infrastructure
• Support analytics engineering initiatives using SQL, Python, and modern data workflows
• Build and optimize centralized datasets for sales, promotion, operational, and commercial reporting
• Ensure data quality, consistency, scalability, and reporting reliability across analytics systems
• Maintain and optimize automated workflows supporting dashboards, reporting, and business operations
• Support automation initiatives to improve operational efficiency and reduce manual processes

• Support sales and commercial analytics initiatives through scalable reporting and analytical solutions
• Develop and maintain dashboards for monitoring sales performance, promotions, distribution, and operational KPIs

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, or related field
• Minimum 2 years of relevant experience in analytics engineering, data analytics, commercial analytics, or similar roles
• Strong analytical thinking, structured problem-solving, and communication skills
• Able to work in a dynamic and fast-paced environment
• Proactive ownership mindset with strong initiative and execution capability
• Proficient in English (written & spoken)

• Strong SQL capability (query writing and data transformation)
• Familiar with Python for data processing, transformation, and automation
• Experience working with Big Query / GCP ecosystem
• Familiarity with ETL/ELT concepts, data modeling, and analytics engineering workflows
• Experience with workflow orchestration or automation tools (e.g., Airflow) & DAX writing is a plus
• Experience in dashboarding and reporting tools such as Power BI, Looker Studio, or equivalent
• Familiar with automation and scalable reporting development
• Understanding of data quality management and reporting reliability practices

• Experience working with sales, operational, or commercial datasets
• Strong business acumen and ability to translate business requirements into analytical solutions
• Understanding of FMCG / Modern Trade business processes is a strong advantage
• Comfortable working in hybrid technical-business environments with cross-functional stakeholders

• Be part of a high-growth company expanding across nationwide commercial channels
• Opportunity to build scalable analytics infrastructure and automation systems with real business impact
• High exposure to commercial strategy, sales operations, and business decision-making
• Work closely with business leaders and cross-functional teams
• Opportunity to contribute to evolving analytics and automation initiatives