Data Analytics Engineer

Key Responsibilities

• Work closely with relevant business functions to understand business domains, processes, and data structures.
• Contribute to solutions related to data migration, data modeling, data validation, and data governance .
• Coordinate with stakeholders to understand data requirements, including user insights, customer journeys, and business metrics.
• Translate business requirements into meaningful data implementations, analyses, datasets, reports, and dashboards using BI tools.
• Analyze data to identify trends, patterns, and actionable insights that support strategic business planning.
• Collaborate with Data Engineers to develop efficient frameworks and tools for data quality and data lineage .
• Coach and support business users in understanding and effectively using BI reports and dashboards.
• Perform data audits and root-cause analysis to identify and resolve data mismatches across systems when needed.

Key Qualifications & Experience

• 3–4 years of experience in Data Analytics, Business Intelligence, or related fields.
• Bachelor’s degree in Statistics, Mathematics, Data Engineering, Computer Science , or a related discipline.
• Strong expertise in SQL is required.
• Intermediate hands-on experience with at least one programming language, such as Python or R .
• Hands-on experience in designing and working with data warehouses, data marts, and aggregation tables , using platforms such as AWS Redshift or Snowflake.
• Familiarity with dimensional data modeling and building scalable analytics solutions.
• Proficiency in Power BI , with experience using other visualization tools such as Metabase, Superset, or Tableau.
• Experience in data cleansing, data transformation, data quality assessment, and statistical analysis .
• Strong mentorship and knowledge-sharing mindset, with the ability to guide junior Data Analysts.

Nice to Have

• Practical experience transforming data using dbt (Data Build Tool) .
• Hands-on exposure to building centralized data catalogs using tools such as DataHub, OpenMetadata , or similar platforms.
• Experience with Intelligent Credit Scoring implementation.
• Familiarity with building a Semantic Layer for data platforms using tools such as Cube, AtScale, or equivalent.
• Proven ability to work effectively in Agile/Scrum environments .
• Experience using AI-assisted tools to automate data workflows and support complex data architecture and modeling.

Why Join Gimo?Impact-Driven Work

Be part of a mission-driven fintech company transforming financial access for millions of underserved Vietnamese workers.

Growth Opportunities

Work in a fast-growing environment that values growth, autonomy, accountability, and ownership , empowering individuals to take initiative and make meaningful decisions.

Innovative Culture

Join a team that embraces innovation, data, and technology to create impactful solutions. Be part of a culture that encourages experimentation, collaboration, and challenging the status quo.

Competitive Compensation

Attractive base salary with annual and holiday bonuses .

Comprehensive Benefits

• Use Gimo service
• Gimo Care health insurance
• Annual leave
• Team-building activities
• Other employee benefits and engagement programs