Senior Data Analyst (6 months)

Responsibilities:

• Work closely with all various business units to gather business requirements and prioritize information needs.
• Design and implement visualizations (in BI tool) in response to business needs from relational databases and other source systems.
• Acquire data from multiple data sources, understand and maintain the flow of data from sales, commercial, etc.
• Analyze requirements or concepts and propose viable solutions that bring high value for business and end-users.
• Work closely with the development team (Data Engineer, Data Scientist) to make an automation data report.
• Review data and dashboard periodically to make sure all reports are up-to-date and accuracy Deliver effective presentations of findings and recommendations to the business user, creating a visual display of quantitative information.

Requirements:

Nice to have

• Experience with Databricks (Databricks SQL, Unity Catalog).
• Working knowledge of PySpark for large-scale data processing.
• 5 years of working experience in the eCommerce data analyst position.
• Excellent verbal and written communication skills including development of business and technical requirements and delivering presentations to associated groups.
• Proficiency in Big Query, SQL, Python, Airflow, and BI tools such as Power BI is a must.
• Personal integrity, able to work deadlines and under pressure.
• Demonstrated analytical and problem-solving skills with strong attention to detail.
• Demonstrated progress management and planning skills.
• Great interest in eCommerce.
• Good at logical thinking and mathematics.

Work Arrangement:

• Onsite at the office 3–4 days per week.