Data Analyst

ABOUT CLIENT

Our client is one of the world’s largest providers of Consulting, Outsourcing and Technology Services

JOB DESCRIPTION

This role involves collaborating with a Business Analyst and ETL Developer to develop data models and ETL pipelines, and to carry out validations. The position will also entail close collaboration with clients on a diverse range of innovative projects, including:
Interpreting data and converting raw data into structured information
Collaborating with a Business Analyst to create data models
Working with an ETL developer to build data pipelines and perform validations
Collaborating with an ETL developer to create intricate data transformations and mappings using Python

JOB REQUIREMENT

Primary Skills:
Proficient in data modeling (conceptual, logical, and physical)
Skilled in SQL and Python languages
Experienced in ETL framework and SQL databases
Secondary Skills:
Familiarity with AWS Glue and AWS Athena
A degree in Computer Science, Computer Engineering, Information Management, Economics, or a related field
Strong English communication skills
Minimum of 4+ years of relevant data analysis experience
Exceptional analytical ability for collecting, organizing, and analyzing large amounts of information with attention to detail
Innovative problem-solving capabilities for complex data challenges
Proficiency in data analysis languages such as SQL and Python
Knowledge of the Insurance (Life/Non-life) domain is beneficial
Experience working with AWS Glue and AWS Athena is advantageous
Familiarity with Agile methodologies like Scrum and Kanban
Good communication and teamwork skills
Proactive and flexible working approach
Team-player with experience in international and multi-functional team environments
Self-development skills to stay updated with fast-changing trends

WHAT'S ON OFFER

Competitive compensation, comprehensive health insurance for employees and dependents.
Participation in international projects within a professional and dynamic work setting.
Gaining valuable experience with diverse projects, new technologies, and a multitude of talents.
Access to training opportunities, including technical seminars and soft skill courses.
Potential for promotion through a regular performance review system.

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:

Outsource

Technical Skills:

Data Analyst

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Job ID:

J01504

Status:

Close

Related Job:

Data Scientist (Senior)

Ho Chi Minh - Viet Nam


Product

  • Machine Learning
  • Data Science
  • Python
  • AI

We are seeking a Data Scientist to join our team and contribute to delivering impactful solutions across a variety of industries. In this role, your responsibilities will cover the end-to-end process, from understanding business needs to developing and deploying models in a fast-paced and innovative environment. Your key responsibilities will include designing and architecting data science solutions, providing technical leadership on projects, and overseeing the work of junior and mid-level data scientists. You will also take ownership of projects, communicate findings to stakeholders, and collaborate with cross-functional teams to align data science efforts with business objectives. In addition, you will be expected to stay updated on the latest advancements in data science, machine learning, and AI, and contribute to the mentorship and coaching of other team members.

Negotiation

View details

Data Platforms Team Leader

Ho Chi Minh - Viet Nam


Product

  • Data Engineering
  • Devops
  • AI

Mentor and lead a team of data platform and support engineers to encourage self-organization and empowerment Conduct performance evaluations and provide opportunities for professional growth Showcase team accomplishments at internal and external events Install, configure, monitor, and maintain data platforms, including databases and filesystems Regularly update and patch systems to uphold security and stability Identify and resolve data platform issues in a timely manner Implement and maintain backup and recovery strategies for data platforms Educate users on platform features and related processes Ensure proper data platform design and features to enable AI/ML model training/serving, data management, and tracking data quality Oversee technical design aligned with company strategy and policies Follow, select, and apply the latest technologies and best practices in platform code, management, and AI/ML area Ensure projects are delivered on time and within scope Manage expectations, risks, and resolve issues during the platform lifecycle Work closely with Product Owners and Development Teams to align platform roadmaps with their goals Provide platform-level feasibility assessments for new features and enhancements Ensure clear communication and coordination between the team, Product Owner(s), and Development Team(s) Implement and maintain quality standards for platform code Ensure regular testing and validation are implemented as a vital part of automated CI/CD Ensure data platform features comply with relevant data privacy and security regulations and policies Manage data access and usage to protect personal data and other sensitive information

Negotiation

View details

Senior AI Data Platform Engineer

Ho Chi Minh - Viet Nam


Product

  • Data Engineering
  • Devops
  • AI

Administer ML data platforms by installing, configuring, and maintaining them on Kubernetes, Object Storage, Cassandra, and Postgres Monitor platform performance and optimize for reliability and efficiency Configure and manage platforms, ensuring adherence to best practices and security standards Update and patch systems regularly to maintain security and stability Collaborate with cross-functional teams, providing guidance on platform best practices and optimization Identify, diagnose, and resolve data platform problems in a timely manner Implement and maintain backup and recovery strategies for data platforms Create and maintain documentation related to data platform administration, configuration, and maintenance Ensure data platforms adhere to security best practices and comply with relevant regulations Evaluate and implement new technologies and techniques to enhance data platform performance and administration Proactively identify areas for improvement and prefer automation and code-first approach over manual tasks.

Negotiation

View details