Data Analyst

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

1. Create business impact by working on strategic initiatives focused on analysis and experimentation
2. Deliver insight and analysis using statistical tools, data visualization, and business case to product and business team
3. Perform analysis in relation to determining new project pilot settings, new features, user behavior, and in-app behavior
4. Build & maintain dashboards for tracking business performance and product adoption
5. Partner closely with Product Managers and Business teams to help them on decision making
6. Identify product or business opportunities and support in product delivery such as experimentation.
7. Build first cut Machine Learning models based on product requirements.
8. Automate data extraction by creating denormalized tables or data mart based on business or product requirement.

1. Possess a Bachelor’s Degree from any reputable universities.
2. Prior experience and knowledge in similar industry will be advantageous.
3. Experience in master data management and data migration best-practices are a must
4. Expert in SQL and strong experience with a data visualization and dashboarding tool (e.g. Tableau, Metabase, Google Data Studio, Clevertap, Python, etc)
5. Experience in delivering products as end-to-end data solutions (from data pipelining to analysis, presenting, and scalable adaption)
6. Exposure in working with Machine Learning (forecasting, clustering, statistical significance test, predictive modeling, and text mining)
7. Ability to transform an ambiguous business or product problem into a well-scoped and impactful analysis; able to design simple experiments