Data Analytics Engineer

Key ResponsibilitiesWork closely with relevant business functions to understand the domain and data structureContribute to the solution of various data migration, data modeling, data validation and governanceCoordinate 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 toolsAnalyze data for trends and patterns to support business strategic planningCollaborate with data engineers to develop efficient frameworks and tools for data quality and data lineageCoach business users to get familiar with BI reportsPerform data audit to identify the cause of mismatched data between systems when neededKey Qualifications & Experience2 - 5 years of experience in data analytics, business intelligence, or related fieldsEducational Background: Bachelor’s degree in Statistics, Mathematics, Data Engineering, Computer Science, or similar majorsExpert in SQL is a mustIntermediate hands-on with at least one of the programming languages: Python, RSolid experience in designing and working with data warehouses, data marts, and aggregation tables using platforms like AWS Redshift, Snowflake, BigQuery, PostgreSQL, and MySQLFamiliar with dimensional data modeling for scalable analytics solutionsProficient in Power BI and other visualization tools such as Metabase, Looker, or TableauExperience with data cleansing, data transformation, data quality assessment, and statistical analyticsGood 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 analystsNice to have:Practical knowledge transforming data using dbt (Data Build Tool)Experience with some forms of Intelligent Credit Scoring implementationFamiliar with building Semantic Layer for data platform (Cube, AtScale, etc.)Proven abilities to work collaboratively under Agile/Scrum working environmentsExperience with AI-assisted tools to automate data workflows and architect complex data modelWhy Join Gimo?Impact-Driven Work: Be part of a mission-driven fintech company that is transforming financial access for millions of Vietnamese underservedGrowth Opportunities: Work in a fast-growth environment that values growth, autonomy, accountability and empowering individuals to take initiative and make decisionsInnovative 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 quoCompetitive compensation: Attractive base salary with yearly and holiday bonusesComprehensive 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