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:

Outsourcing

Technical Skills:

Data Analyst

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01504

Status:

Close

Related Job:

Senior/ Lead Data Engineer (Data Platform / MLOps)

Ho Chi Minh, Ha Noi - Viet Nam

Information Technology & Services

You will be responsible for managing, designing, and enhancing data systems and workflows that drive key business decisions. The role is focused 75% on data engineering, involving the construction and optimization of data pipelines and architectures, and 25% on supporting data science initiatives through collaboration with data science teams for machine learning workflows and advanced analytics. You will leverage technologies like Python, Airflow, Kubernetes, and AWS to deliver high-quality data solutions. 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

Data Engineer - RefData

Ho Chi Minh, Ha Noi - Viet Nam

product, Investment Management

  • Data Engineering

Developing an automated data processing system and overseeing its maintenance Consolidating and integrating various data sources and databases into a unified system Designing interfaces and micro services using Python Enhancing the organization's data through NLP and AI models Preparing and cleaning semi-structured or unstructured data Creating effective algorithms for data processing Testing and incorporating external APIs Assisting the Business Analysts team

Negotiation

View details

Senior Data Scientist

Ho Chi Minh - Viet Nam

Information Technology & Services

  • Data Science

Analysis Focused on Humans: Analyze human behavior, sentiment, and language data to reveal hidden patterns and support data-guided decision-making. AI/ML Model Development: Develop prompts to interact with AI models, optimize output quality and relevance, conduct fine-tuning, data feeding, validation, and engineering for continuous improvement. Pragmatic Solutions Delivery: Consistently make practical technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment. Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery.

Negotiation

View details