Data Analytics Engineer

Key Responsibilities

• Work closely with relevant business functions to understand the domain and data structure
• Contribute to the solution of various data migration, data modeling, data validation and governance
• Coordinate with stakeholders to understand the data requirements such as user insights, customer journeys, business metrics; translating business requests to meaningful data implementation; perform corresponding analysis to develop datasets, reports, and dashboards using BI tools
• Analyze data for trends and patterns to support business strategic planning
• Collaborate with data engineers to develop efficient frameworks and tools for data quality and data lineage
• Coach business users to get familiar with BI reports
• Perform data audit to identify the cause of mismatched data between systems when needed

Key Qualifications & Experience

• 2 - 5 years of experience in data analytics, business intelligence, or related fields
• Educational Background: Bachelor’s degree in Statistics, Mathematics, Data Engineering, Computer Science, or similar majors
• Expert in SQL is a must
• Intermediate hands-on with at least one of the programming languages: Python, R
• Solid experience in designing and working with data warehouses, data marts, and aggregation tables using platforms like AWS Redshift, Snowflake, BigQuery, PostgreSQL, and MySQL
• Familiar with dimensional data modeling for scalable analytics solutions
• Proficient in Power BI and other visualization tools such as Metabase, Looker, or Tableau
• Experience with data cleansing, data transformation, data quality assessment, and statistical analytics
• Good foundation with version control (Git), CI/CD concepts (Docker, Jenkins) and Cloud Computing (AWS, GCP, etc.)
• Mentorship and knowledge sharing mindset, able to guide junior data analysts
• Nice to have:
• Practical knowledge transforming data using dbt (Data Build Tool)
• Experience with some forms of Intelligent Credit Scoring implementation
• Familiar with building Semantic Layer for data platform (Cube, AtScale, etc.)
• Proven abilities to work collaboratively under Agile/Scrum working environments
• Experience with AI-assisted tools to automate data workflows and architect complex data model

Why Join Gimo?

• Impact-Driven Work: Be part of a mission-driven fintech company that is transforming financial access for millions of Vietnamese underserved
• Growth Opportunities: Work in a fast-growth environment that values growth, autonomy, accountability and empowering individuals to take initiative and make decisions
• Innovative Culture: Join the team that embraces innovation, data, technology to drive solutions. Be part of the company that encourages experimentation, collaboration and drive to challenge the status quo
• Competitive compensation: Attractive base salary with yearly and holiday bonuses
• Comprehensive benefits: Full participation in social insurance as per regulations, PTI health insurance, free parking, and various other perks such as annual leave, birthday gifts, and team-building activities