Marketing Anayst (Data Analytics) (Onsite)

Key Responsibilities:

• Write and optimize SQL queries (Structured Query Language) and work with Google Cloud BigQuery to manage and analyze large datasets.
• Apply programming knowledge in Python and R for statistical analysis and data modeling.
• Utilize Excel for advanced data manipulation, reporting, and analysis.
• Work with ETL processes and tools to extract, transform, and load data for integration across multiple systems.
• Build segmentation models to identify customer groups and evaluate campaign performance.
• Synthesize and summarize large datasets into actionable insights, reports, and dashboards for business teams.
• Partner with cross-functional teams to support marketing strategy and decision-making with data-driven insights.
• Maintain accuracy and integrity of data used in reports and analyses.

Qualifications:

• Bachelors degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field.
• Minimum of 2 years experience in SQL coding and Google Cloud BigQuery (or equivalent).
• Proficiency in Python, R, and Microsoft Excel for analytics.
• Solid understanding of ETL processes, data integration, and data pipelines.
• Knowledge of segmentation models and marketing analytics.
• Strong analytical thinking and ability to present complex data clearly and concisely.
• Open to full onsite work and night shift schedule.