Strategic Data Analyst: Insights, Dashboards & ML

PT Lawencon Internasional; Indonesia; On-site; IDR 133,920,000 - 200,880,000; Full time

Job summary

PT Lawencon Internasional in Indonesia seeks a data analytics professional to drive strategic initiatives through analysis and experimentation, delivering insights to product and business teams.

You will build dashboards, analyze user behavior, collaborate with Product Managers to inform decisions, and develop initial ML models while automating data extraction. This role emphasizes turning data into actionable plans and scalable analytics.

Qualifications

• Bachelor’s degree from a reputable university.
• Experience in a similar data analytics role is advantageous.
• Expert in SQL and strong experience with a data visualization tool.
• Experience delivering end-to-end data solutions from pipelines to analysis.
• Exposure in Machine Learning concepts (forecasting, clustering).
• Ability to transform ambiguous business problems into focused analyses and experiments.

Responsibilities

• Create business impact by working on analysis and experimentation initiatives.
• Deliver insights using statistical tools and visualizations to product and business teams.
• Analyze new pilot settings, features, user behavior, and in-app interactions.
• Build and maintain dashboards to track performance and adoption.
• Collaborate with Product Managers and Business teams to support data-informed decisions.
• Identify opportunities and support data-driven product delivery, including experimentation.
• Develop initial machine learning models based on product requirements.
• Automate data extraction by creating denormalized tables or data marts.

Skills

SQL

Data visualization

Machine Learning

Python

Dashboards

Experimentation

Data pipelines

Education

Bachelor's Degree

Tools

Tableau

Metabase

Google Data Studio

Python

Clevertap

Job description

PT Lawencon Internasional in Indonesia seeks a data analytics professional to drive strategic initiatives through analysis and experimentation, delivering insights to product and business teams.

You will build dashboards, analyze user behavior, collaborate with Product Managers to inform decisions, and develop initial ML models while automating data extraction. This role emphasizes turning data into actionable plans and scalable analytics.