Skip to content
Tuyển Dụng
← GFT Technologies Vietnam

Data Analyst Data Scientist

GFT Technologies Vietnam · Hồ Chí Minh
Apply on official site ↗
Type
Full-time
Work mode
On-site
Level
Staff
Industry
IT - Software
Salary
Thương lượng
Location
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Overview

  • Data Analyst – focused on data analysis, reporting, report migration, data mapping, validation, and business/regulatory reporting within an AWS-based Lakehouse platform in a banking environment.
  • Data Scientist – focused on statistical analysis, data mining, AI/ML, LLM technologies, and developing data-driven and AI-powered products.
  • We are looking for a Data Analyst to support report migration, data mapping, reporting, and validation for an AWS-based Lakehouse platform in a banking environment.
  • You will help migrate approximately 200–300 business, operational, and regulatory reports into a Redshift-based Data Warehouse and ensure they are accurate and ready for go-live.
  • Analyze legacy reports, data sources, business rules, and reporting logic.
  • Perform data mapping and support migration into the Data Lakehouse/Redshift DWH.
  • Translate business and regulatory requirements into report specifications.
  • Generate and validate business, operational, and regulatory reports.
  • Perform reconciliation, variance analysis, issue investigation, and root cause analysis.
  • Support dashboards and operational reporting after go-live.
  • Work with business users, data engineers, and regulatory stakeholders to resolve reporting issues.
  • Ensure reports are accurate, consistent, complete, and go-live ready.
  • We are seeking a Senior Data Scientist to solve complex business challenges through statistical analysis, data mining, AI/ML, and LLM technologies.
  • You will develop data-driven and AI-powered products from ideation through delivery, working closely with data, product, and engineering teams.
  • Analyze human behavior, sentiment, and language data to identify patterns and support decision-making.
  • Develop and optimize AI/ML solutions, including prompt engineering, fine-tuning, data feeding, validation, and QA.
  • Apply pragmatic technical solutions focused on business value and delivery speed.
  • Work cross-functionally with product and engineering teams to deliver data and AI solutions.
  • Mentor talent and contribute to the development of AI-powered product features.
  • Your Skills and Experience
  • We are currently hiring across two key areas: Data Analyst and Data Scientist. Depending on your background and expertise, you will contribute to complex data initiatives.
  • DATA ANALYST – REQUIRED SKILLS & EXPERIENCE
  • 4+ years as a Data Analyst, Reporting Analyst, Business Data Analyst, BI Analyst, or similar.
  • Strong SQL and data analysis skills.
  • Experience with data mapping, Data Warehouse, reporting, dashboard development, report migration, validation, and reconciliation.
  • Ability to translate business requirements into data insights and reporting solutions.
  • Strong understanding of reporting logic, data quality, and business rules.
  • Strong attention to detail and ability to manage high-volume workloads.
  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Finance, Banking, Business Administration, or related field.
  • DATA ANALYST – DOMAIN & NICE TO HAVE
  • Banking experience preferred, particularly in lending, regulatory, financial, operational, customer/account, transaction, risk, AML/KYC, or compliance reporting.
  • Experience with Redshift, Athena, S3, Glue, Lake Formation, or other AWS data services.
  • Experience with Power BI, Tableau, Looker, Qlik, or similar BI tools.
  • Understanding of Lakehouse architecture, data marts, and reporting data models.
  • Experience working in Agile environments using Jira and Confluence.
  • DATA SCIENTIST – REQUIRED SKILLS & EXPERIENCE
  • 6+ years of relevant Data Science experience, preferably with consumer-facing, human-generated data, or equivalent domains.
  • Having basic understanding of revenue and/or risk management.
  • 4+ years applying advanced statistical methods and data mining to solve business challenges and identify opportunities.
  • Bachelor’s degree in Software Engineering or related field.

Requirements

  • Knowledge of Data Engineering, DevOps, and MLOps for AI model deployment.
  • Familiarity with AWS data services.
  • Experience working in a startup or fast-paced environment with ambiguity.
  • Why You'll Love Working Here

Benefits

BonusTrainingParking

Summary of facts from the official posting. View original ↗

Interested in this role?

You'll be taken to the employer's official application page.

Apply on official site ↗
Is this your business? Claim this page, request edits or removal
→