Data Analysis & Processing (50%)

• Conduct deep-dive analyses using SQL, Python, and other tools.
• Build and maintain data pipelines (PySpark, Airflow) to generate insights and ensure data readiness for business needs.
• Evaluate product performance and marketing campaigns, providing data-driven recommendations.

Business Partnership (20%)

• Collaborate with business teams to understand requirements and deliver tailored data solutions.
• Translate business challenges into analytical problems, identify data sources, and present results aligned with stakeholders’ perspectives.

Reporting & Visualization (20%)

• Develop intuitive and impactful dashboards/reports using BI tools (Superset, Tableau, Power BI) and intermediate+ Excel.
• Communicate findings clearly to support decision-making across strategy, marketing, and operations.

Innovation & Technology Adoption (10%)

• Research, experiment with, and implement new analytical tools/methodologies to improve productivity and efficiency.

Education

• Bachelor’s degree or higher in IT, Software Engineering, or related fields.

Experience

• At least 3 years of experience as a Data Analyst, preferably in technology, digital platforms, or OTT companies.
• Hands-on experience working with big data in cloud and distributed systems.

Technical Skills

• Proficient in SQL (Trino, BigQuery, PostgreSQL) and Python (pandas, numpy, seaborn/matplotlib).
• Strong experience with PySpark for big data processing.
• Skilled in designing analytical pipelines; experience with workflow orchestration tools such as Airflow preferred.
• Proficient in BI tools (Superset, Tableau, Power BI) and intermediate+ Excel for ad-hoc requests.