Data Analyst

FOOM LAB GLOBAL; Jakarta Utara; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading tech company in Jakarta Utara seeks a Data Analyst to transform complex data into actionable insights. You’ll be responsible for data analysis, building machine learning models, and collaborating with cross-functional teams to support data-driven decisions. Candidates need a degree related to data science and at least 1 year of relevant experience. This role requires proficiency in Python and SQL and offers a dynamic work environment.

Qualifications

• 1+ years of experience as a Data Analyst, preferably with exposure to machine learning or data science projects.
• Strong understanding of predictive analytics.
• Excellent problem-solving and communication skills.

Responsibilities

• Collect, clean, and analyze structured and unstructured data from various sources.
• Build and deploy machine learning models to solve business problems.
• Work with stakeholders to define analytical requirements.
• Ensure data accuracy, consistency, and security across platforms.

Skills

Python (pandas, numpy, scikit-learn)

SQL

Data visualization tools (Power BI, Tableau, Looker)

Statistical analysis

Machine learning frameworks (TensorFlow, PyTorch)

Cloud platforms (AWS, GCP, Azure)

Version control (Git)

Education

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

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.
• Machine Learning & Predictive Modeling: Build and deploy machine learning models (e.g., regression, classification, clustering, recommendation systems) to solve business problems.
• Business Insights: Work with stakeholders to define analytical requirements and translate them into actionable data solutions.
• Data Governance & Quality: Ensure data accuracy, consistency, and security across platforms.

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.