Customer Data Analyst (Team Lead)

JOB DESCRIPTION

This role is responsible for building, optimizing, and managing data systems to support analytics and business decision- making. You will transform data into actionable insights, enabling cross- functional teams (Operations, Product, Business, etc.) to improve performance and drive growth. As a bridge between data and business, you will ensure data is accurate, scalable, and effectively utilized across the organization.

KEY RESPONSIBILITIES

Data Pipeline & System Optimization (30%)

Process and optimize large- scale datasets (millions to billions of records)
Design, build, and maintain scalable ETL/ELT pipelines using SQL, Python, and dbt
Data Modeling & Data Quality (20%)
Collaborate with Data/Engineering teams to ensure data reliability and consistency
Improve system performance and reduce cost through efficient query and pipeline optimization

Leverage dbt for modeling, testing, and documentation
Standardize and manage metric definitions across teams
Design and maintain data models (fact/dimension, star/snowflake schema)
Ensure data quality through validation, monitoring, and continuous improvement
Analytics & Insights (20%)

Translate business problems into data- driven solutions and measurable KPIs
Provide actionable insights to support operational optimization and business growth
Evaluate initiative effectiveness and communicate results to stakeholders
Perform in- depth analysis to identify trends, issues, and opportunities
Reporting & Dashboard Development (15%)

Automate reporting processes to improve efficiency and scalability
Build interactive dashboards using BI tools (Power BI, Tableau, Looker, etc.)
Develop and maintain recurring reports (daily/weekly/monthly)
Cross- functional Collaboration & Ownership (15%)

Mentor and review work of junior team members (for Lead level)
Work closely with stakeholders across Operations, Product, and Business teams
Proactively identify opportunities to improve data systems and workflows
Balance ad- hoc analytical requests with scalable, long- term data solutions

Ability to work cross- functionally and communicate with stakeholders
Strong proficiency in SQL (BigQuery preferred), including window functions, cohort analysis, and query optimization (partitioning, clustering)
Experience with dbt, Git, Docker, Linux is a plus
Hands- on experience with BI tools (Power BI, Tableau, Looker, etc.)
Solid understanding of data warehousing and data modeling concepts
Strong analytical thinking and problem- solving skills
3–5+ years of experience in Data Analyst / Analytics Engineer roles, preferably with large- scale or production data systems
High ownership mindset, proactive attitude, ability to work in a fast- paced environment
Experience with Python (Pandas, PySpark, etc.) for data processing
Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or related fields

13th- month salary
Dynamic and fast- growing working environment
Full- salary insurance coverage
Annual health check- up
12 days of annual leave
Private health insurance
Performance- based bonus
Clear career development path
Competitive salary based on experience and performance
Annual salary review
Opportunity to work on high- impact, large- scale data problems

ADDITIONAL INFORMATION

Working hours: Monday – Friday (08:30 – 18:00)
Location: Rivera Park Building, 7/28 Thanh Thai, District 10, Ho Chi Minh City

Cập nhật gần nhất lúc: 2026-03-31 01:10:02