Data Analyst, MeLive

Data Processing & Management:

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

Data Analysis & Reporting:

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
Analyze processed datasets to generate actionable insights for e- commerce and social commerce performance.
Develop automated reports, dashboards, and data visualizations

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.

Ability to handle large datasets and optimize queries for performance.
Hands- on experience with ETL tools, data processing frameworks, and data pipeline management.
Familiarity with data warehousing concepts and cloud- based storage solutions.
2 years of experience in data processing, data management, or data engineering within e- commerce, social commerce, or digital marketing environments.
Experience working with APIs, JSON, or CSV data ingestion is an advantage.
Knowledge of database management, SQL querying, and data transformation techniques.
Experience in data cleaning, validation, and transformation for analytical purposes.
Strong analytical and problem- solving skills with attention to detail.Knowledge of scripting languages (Python or R) for data manipulation is a strong plus.
Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.

Additional Benefits: Birthday celebrations, regular health check- ups, wedding gifts, sickness benefits, maternity leave; Bonuses On holidays, New Year, and company events.
Full Benefits Package: Including Social Insurance (BHXH), Health Insurance (BHYT), participation in the labor union, annual leave, and bonuses according to company policy.
Work Environment: high potential for career growth and flexible work arrangements
Salary: Competitive salary and benefits package.

Cập nhật gần nhất lúc: 2025-09-10 13:10:02