Data Processing & Management:

• Collect, clean, validate, and transform large datasets from multiple sources to ensure accuracy, completeness, and consistency.
• Build and maintain ETL (Extract, Transform, Load) pipelines to support data ingestion, processing, and integration across systems.
• Standardize data formats and structures for efficient storage and retrieval in data warehouses or analytics platforms.
• Monitor data quality, troubleshoot anomalies, and implement corrective measures to maintain high data integrity.

Data Analysis & Reporting:

• Analyze processed datasets to generate actionable insights for e-commerce and social commerce performance.
• Develop automated reports, dashboards, and data visualizations
• Collaborate with stakeholders (BI, Tech, Business team,...) to translate business needs into data queries and analytical outputs.
• Process and aggregate large-scale platform data to support competitive benchmarking and trend analysis

BI Tools & Systems Integration:

• Work with tools such as, Power BI, and Google Data Studio to create dynamic visualizations from processed datasets.
• Partner with the BI and Technology Department to ensure seamless data flow between processing pipelines and analytics platforms.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.

• 2 years of experience in data processing, data management, or data engineering within e-commerce, social commerce, or digital marketing environments.

• Experience in data cleaning, validation, and transformation for analytical purposes.

• Ability to handle large datasets and optimize queries for performance.

• Knowledge of database management, SQL querying, and data transformation techniques.

• Familiarity with data warehousing concepts and cloud-based storage solutions.

• Hands-on experience with ETL tools, data processing frameworks, and data pipeline management.

• Strong analytical and problem-solving skills with attention to detail.

• Knowledge of scripting languages (Python or R) for data manipulation is a strong plus.

• Experience working with APIs, JSON, or CSV data ingestion is an advantage.