Data Analyst

Foom Lab Global; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A data-driven company located in Jakarta seeks a Data Analyst with strong analytical skills and hands-on experience in machine learning. In this role, you'll analyze data to derive actionable insights, build predictive models, and collaborate with cross-functional teams to drive innovation. Ideal candidates should have a relevant degree, proficiency in Python and SQL, along with experience in data visualization tools.

Qualifications

• 1+ years of experience as a Data Analyst, preferably in machine learning or data science projects.
• Strong understanding of statistical analysis, data modeling, and predictive analytics.
• Excellent problem-solving, communication, and storytelling skills.

Responsibilities

• Collect, clean, and analyze structured and unstructured data.
• Develop dashboards, reports, and visualizations.
• Build and deploy machine learning models for business problems.
• Work with stakeholders to define analytical requirements.

Skills

Analytical skills

Machine learning knowledge

Data visualization

Problem-solving

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics

Tools

Python (pandas, numpy, scikit-learn)

SQL

Machine learning frameworks (e.g., TensorFlow, PyTorch)

Data visualization tools (e.g., Power BI, Tableau, Looker)

Cloud platforms (AWS, GCP, Azure)

Version control (Git)

Job description

About the Role

We are looking for a Data Analyst with strong analytical skills and hands‑on experience in machine learning to join our growing team. In this role, you will turn complex data into actionable insights, build predictive models, and support data‑driven decision‑making across the organization. You'll collaborate closely with cross‑functional teams to identify business opportunities, design analytical solutions, and drive innovation using data and AI.

Key Responsibilities

Data Analysis & Reporting

Collect, clean, and analyze structured and unstructured data from various sources. Develop dashboards, reports, and visualizations to present insights and business performance metrics. Identify trends, patterns, and correlations that drive strategic decisions.

Machine Learning & Predictive Modeling

Build and deploy machine learning models (e.g., regression, classification, clustering, recommendation systems) to solve business problems. Evaluate model performance and continuously optimize for accuracy and scalability. Collaborate with data engineers to integrate ML models into production environments.

Business Insights

Work with stakeholders to define analytical requirements and translate them into actionable data solutions. Support experimentation, A/B testing, and forecasting activities. Communicate complex findings in a clear and concise manner to non‑technical audiences.

Data Governance & Quality

Ensure data accuracy, consistency, and security across platforms. Develop and maintain documentation for data processes and models.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 1+ years of experience as a Data Analyst, preferably with exposure to machine learning or data science projects.
• Proficiency in Python (pandas, numpy, scikit‑learn) and SQL.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong understanding of statistical analysis, data modeling, and predictive analytics.
• Experience with data visualization tools (e.g., Power BI, Tableau, Looker).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git).
• Excellent problem‑solving, communication, and storytelling skills.