Data Analyst

Pt. Adidas Indonesia; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading sports company is seeking a Data Analyst to join their team in Jakarta. The candidate will be responsible for connecting various data sources, performing data analysis, and collaborating with stakeholders to deliver insights. Preferred qualifications include 3+ years of experience in data analysis, proficiency in SQL, and strong analytical skills.

Qualifications

• 3+ years of experience in data analysis or business intelligence roles.
• Knowledge of machine learning concepts and predictive analytics.
• Familiarity with Python/PowerApps for data manipulation and analysis.

Responsibilities

• Connect to various data sources and build efficient data models.
• Perform data cleaning, transformation, and analysis to uncover trends and insights.
• Collaborate with stakeholders to gather reporting requirements.

Skills

Data analysis

SQL

Data visualization tools

Analytical thinking

Communication skills

Education

Certification in data analytics or business intelligence

Tools

Excel

Power BI

Python

Power Apps

Power Automate

Job description

adidas is hiring a Data Analyst to be based in Jakarta with a 12-month contract.

Job Responsibilities

• Connect to various data sources (Excel, Power Apps, Power BI, Power Automate, Python, etc.) and build efficient data models.
• Perform data cleaning, transformation, and analysis to uncover trends and insights.
• Collaborate with stakeholders to gather reporting requirements and translate them into visual solutions.
• Ensure data accuracy, consistency, and performance across all data sources.
• Have exposure in retail business/FMCG is a plus.

Preferred Skills

• Knowledge of machine learning concepts and predictive analytics.
• Certification in data analytics or business intelligence tools is a plus.
• Proven experience (3+ years) in data analysis or business intelligence roles.
• Proficiency in SQL and data visualization tools (Excel, Power Apps, Power BI, Power Automate, Python, etc.).
• Strong analytical thinking and problem‑solving skills.
• Familiarity with Python/PowerApps for data manipulation and analysis is a plus.
• Excellent communication skills and ability to explain complex data in simple terms.