Data Analyst

JOB DESCRIPTION

Understand user stories supporting a wide array of use cases such as reporting in Tableau, data science or analytics activities, or indeed operational data flows for decisioning and campaign tools
Design physical data structures in Google Big Query to optimise efficiency, scalability and consistency in a repeatable manner
Catalogue and document metadata on available data sources and communicate rationale for modelling decisions made
Work closely with the team to ensure data models align with stakeholder expectations and practical engineering patterns in DBT and Terraform
Profile incoming source data (batch and real-time event) to deeply understand data, contribute to data integration specifications and help to build robust and future-proof models
Participate in the continuous improvement of data assets and governance processes to enable customers to easily access the data they need

JOB REQUIREMENT

Excellent English communication skills
Excellent SQL, data analysis and data profiling skills
Proven success designing and/or building BI/DW or ETL solutions, especially using data transformation tools such as DBT or Dataform
Demonstrated experience with data pipeline orchestration and/or configuration as code
Exposure to data in cloud-native environments
An appreciation for difficult problems and to work autonomously on complex tasks
The Analytics Engineer role is a midpoint between Data Analyst and Data Engineer; you need to 'care' about the data itself, not just the pipelines, but also be comfortable with engineering practices such as source control, tagging, CI/CD and automated testing using Python.

WHAT'S ON OFFER

Very challenging project with Big Bank where latest technology are applied and talented engineers are gathered
Attractive package including base salary + 13th month salary + Performance Bonus.
Insurance based on full base salary and Medical Benefit (Bao Viet Insurance Package) for
Employee and Family
100% of full salary and benefits as an official employee from the 1st day of working
100% salary during probation time
Working in a fast paced, flexible, and multinational working environment with opportunity to
travel onsite (in 60 countries)
Internal Training (Technical & Functional & English)
Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries
18 paid leaves per year
Hybrid Mode (3 working days at office, flexible time)

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:

Job ID:

J01565

Status:

Close

Related Job:

Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering
  • Python

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering
  • Python
  • Cloud

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details

Data Scientist

Ho Chi Minh - Viet Nam

Outsource

  • Data Science
  • Python
  • LLM/RAG
  • Cloud

Formulate client business inquiries as analytical and modeling challenges, and choose appropriate methodologies. Develop, verify, and implement predictive models like propensity, segmentation, churn, forecasting, and recommendation. Plan and assess experiments, including A/B tests and incrementality studies, and communicate outcomes to varied audiences. Devise and construct anticipatory applications, involving tool-utilizing agents, multi-step workflows, retrieval-augmented generation, and prompt design. Create assessment frameworks for AI systems, comprising test sets, quality metrics, guardrails, and regression checks on model and agent behavior. Utilize AI agents and automated workflows to enhance the efficiency of analysis, code development, and documentation processes, and verify their results. Collaborate with Data Engineers to operationalize features, models, and agents on cloud platforms such as Google Cloud Platform (BigQuery, Vertex AI), AWS (SageMaker, Bedrock), and Databricks (Spark, MLflow). Record methodologies, assumptions, limitations, and deliver findings to clients and internal leadership teams.

Negotiation

View details