Data Analyst Data Scientist

GFT is looking for experienced Data Experts to join our growing data team. We are currently hiring across two key areas:

1. 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.
2. Data Scientist - focused on statistical analysis, data mining, AI/ML, LLM technologies, and developing data-driven and AI-powered products.

Depending on your background and expertise, you will contribute to complex data initiatives, working closely with data teams, engineers, product managers, business users, and other stakeholders.

DATA ANALYST - ROLE SUMMARY

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.

DATA ANALYST - KEY RESPONSIBILITIES

• 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.

DATA SCIENTIST - ROLE SUMMARY

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.

DATA SCIENTIST - KEY RESPONSIBILITIES

• 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.

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.
• Strong programming skills in one or more of Python, R, C++, or Java, with experience in data engineering, cloud data architecture, or large-scale data pipelines.
• Hands-on experience with AI/ML and LLMs, including prompt engineering, fine-tuning, pipeline setup, validation, and QA.
• Experience building data products from concept to production.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Strong business acumen and ability to connect data initiatives to business outcomes.

DATA SCIENTIST - PREFERRED QUALIFICATIONS

• 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.

HR benefits

• Competitive salary
• Salary band per level are reviewed once per year
• 13th month salary pro rata depending on the employee's length of service (within a calender year), paid with the December salary
• Monthly lunch allowance: 700,000 VND/employee
• Parking: GFT covers the monthly parking fee for employee motorbikes
• Performance evaluation is once per year, for 2 purposes:
  > Performance bonus > Salary increments

Health care

• Private health insurance: including accident, outpatient, in-patient, maternity, and dental for all permanent employees who pass 2-month probation.
• Optical: expense claim for eyewear
• Annual health check-ups.

Vacation

• Maximum 18-day vacation leave/year (with the ability to carry over 05 days till 31st March of the following year)
• Adding one more annual leave day for each two-year anniversary.

Healthy lifestyle

• Sports and hobby clubs: company has an annual fund for fitness activities, which is allocated per month as team's vote.
• Range of healthy snacks, tea, coffee, milk and beer on tap

Social

• Company townhall: each 6 weeks
• CSR activities: as per company's CSR guideline
• Onsite tour/training courses at other GFT offices and client's destination overseas (where applicable).