Data Analyst

Central Retail Việt Nam · Văn phòng SSC (Trụ sở chính) - Thành phố Hồ Chí Minh, Hồ Chí Minh

Type

Full-time

Work mode

On-site

Level

Staff

Industry

IT - Software

Department

Group HO - The 1 Project (20000423)

Salary

Thương lượng

Location

Văn phòng SSC (Trụ sở chính) - Thành phố Hồ Chí Minh, Hồ Chí Minh

Overview

Data Analysis & Operations
Write, optimize, and maintain complex SQL queries on Customer Data Platform (CDP) to extract, transform, and analyse large datasets for business insights and decision-making.
Handle ad-hoc data extraction and perform exploratory analysis to proactively recommend data-driven improvements.
Support CRM team in target segmentation, campaign setup, performance tracking, and identifying opportunities to optimize loyalty and marketing programs.
BI & Reporting
Develop and maintain automated dashboards and reports using BI tools (e.g., Power BI, Tableau, Looker, or equivalent).
Develop reporting automation solutions using Power Automate, Python, or similar tools to support reporting requirements beyond the capabilities of BI platforms.
Maintain & optimize reporting pipelines to ensure reliability, and scalability.
Automation
Design, develop, and maintain ETL pipelines and automated workflows to ensure reliable, efficient, and stable day-to-day data operations.
Create automation solutions for recurring ad-hoc requests to streamline business processes and improve operational efficiency.
Collaboration & Communication
Work closely with the business to translate reporting requirements into robust data pipelines and dashboards.
Prepare clear presentations, communicate data insights to stakeholders, and effectively address questions to support data-driven decision-making.
Collaborate with IT and data teams to improve data infrastructure performance and ensure data availability.

Required
2+ years of experience in data analytics, business intelligence, or related roles.
Strong proficiency in SQL and working with large, complex datasets.
Hands-on experience with at least one BI tool (Power BI is preferred).
Experience using Python or R for data processing, automation, or analysis.
Strong analytical and problem-solving skills.
Preferred
Experience working with on-premises data warehouses (e.g., PostgreSQL).
Be able to work with ETL/ELT processes, data pipelines, or data modelling.
Exposure to data engineering practices and large-scale data infrastructure.

Summary of facts from the official posting. View original ↗

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