Manager/ Lead/ Senior Data Analyst

JOB DESCRIPTION

You will work directly with our Chief Data Officer to spearhead our digital transformation initiative, among several other awaiting projects.
Your main immediate responsibilities include gaining a deep understanding of the current company operations, working with the team to analyze data and create a digital transformation roadmap for company
Down the road, you will be analyzing our massive datasets of job posts and resumes to identify market gaps and value-added opportunities..
Responsibilities 
Gather requirements, create detail plans for data analysis projects
Conceptualize, develop, and maintain dashboards and visualizations
Evaluate and define product and business metrics
Empower the team to answer data questions quickly
Run statistical analyses such as key driver analysis, churn analysis, etc.
Design, run and analyse trial experiments in both business and product domains
Partner with data scientists to build high-quality data sets and machine learning model

JOB REQUIREMENT

Good SQL and data analysis skills.
Good data visualisation skills using BI tools (Power BI, Tableau, Excel, etc.)
Proficient with Python and R
Experienced with statistical analyses
3+ years experience in similar roles
Excellent communication skills, ability to work with business and technical stakeholders
Proactive problem solving, have an eye for detail
Good understanding of supply and demand matching theories would be a plus

WHAT'S ON OFFER

Competitive packages
Room to grow professionally, sponsorship for learning & development of related skills
Opportunity to work on a mission that can transform the lives of millions of Vietnamese.
Annual Performance Bonuses (up to 2 salary months per year).
Salary review 2 times/year.
Parking fee & Lunch allowance
Annual Health Checkup, Premium Health Care (Manager level), Accident Insurance for all members.
Enjoy a variety of corporate events, from sports competitions, monthly birthday parties, quarterly team building to New Year party, company trip etc.
Flat, open and fast-paced environment where every idea are welcomed.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data, SQL, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 2,500 - $ 6,000

Job ID:

J00766

Status:

Close

Related Job:

B2B Sales Manager

Ha Noi - Viet Nam


Product

  • Sale

Lead the business client sales department, implement sales plans, lead the team to achieve revenue targets, and maintain strong relationships with corporate customers#What you'll do: Identify and approach potential clients such as hospitals, clinics, and corporate partners to promote our laboratory testing services. Maintain and strengthen relationships with business clients Develop and execute sales plans for corporate clients Ensure team meets monthly, quarterly, and annual sales targets Lead, train, and motivate sales staff Oversee proposals, quotations, and contract processes Explore new opportunities and acquire new business clients Monitor industry trends, competitor activities, and market demands to identify new growth opportunities Prepare regular sales reports including performance metrics and market insights, and provide constructive feedback to management

Negotiation

View details

Technical Lead (Java)

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Java

#Technical Leadership Lead and mentor a team of backend engineers across multiple functional domains. Provide technical direction and ensure alignment with architecture standards and engineering best practices. Review solution designs, code quality, and implementation approaches - promoting clean architecture, resilient microservices, and AI-enhanced development patterns. Guide the team in diagnosing complex technical challenges, using both traditional analysis and AI-powered debugging or observability tools. Support planning, estimation, and technical decision-making within the engineering team. Backend Architecture & Development Design and develop backend services using Java and modern backend frameworks (e.g., Spring Boot). Define and implement microservices-based architecture and API-driven systems. Ensure backend services are scalable, secure, resilient, and maintainable. Drive best practices in backend development, including maintainable system design, automated testing, code quality, API governance, performance optimization and documentation. Work closely with DevOps teams to support CI/CD pipelines, incorporate intelligent automation, and ensure stable, secure deployment environments. Integrate AI-assisted development practices into coding, testing, documentation, code reviews, and defect prevention workflows. #Banking & Payment Domain Design backend systems supporting banking products and financial transaction processing. Build and maintain services related to payments, card processing, financial operations, and core banking functions. Ensure backend implementations comply with financial industry standards and security requirements. Collaborate with business and product teams to translate banking and financial requirements into technical solutions. #Client Collaboration & Delivery Work directly with client stakeholders, architects, and product owners to understand business processes, requirements and define technical solutions. Challenge and clarify requirements with curiosity dig deep into the "why" behind business needs. Participate in architecture discussions and technical workshops with client teams. Communicate technical designs, trade-offs, and solutions clearly to both engineering teams and non-technical stakeholders. Support project delivery by ensuring technical risks are identified and mitigated early.

Negotiation

View details

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Data Engineering
  • Management

Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details