Senior Data Analyst/Engineer

Job Description
Own analytics and reporting for VAICentral (Vibe Apps AI Central): Unified AI & Data platform that connects structured ERP/DWH data with unstructured enterprise knowledge (documents, SOPs, procedures).
Design, build, and maintain DataMarts and trusted metrics on ClickHouse (and related analytics stores) so business users and leadership get reliable, real-time insights.
Partner with Engineering on ELT/CDC pipelines (e.g. Airbyte, Kafka, Airflow) and dbt models-from source systems (SAP, CRM, core DB) to curated marts with clear data lineage.
Define KPIs and dashboards for enterprise use cases (Finance, Revenue, Operations, Compliance) and embed them via Apache Superset with appropriate row-level security (RLS).
Support Natural Language Query (NLQ) and GraphRAG analytics quality: validate that Vietnamese business questions map correctly to SQL/Cypher results, measure answer accuracy, and reduce hallucination risk for reporting use cases.
Analyze AI platform signals (query volume, latency, retrieval quality, token/cost via tracing tools such as Langfuse) and turn them into product and operations recommendations.
Collaborate with Product, AI Engineering, and customer delivery teams on industry scenarios (e.g. pharmaceuticals, banking & finance, manufacturing & supply chain) to convert domain questions into measurable metrics and reusable reporting patterns.
Establish data quality checks, metric definitions, documentation, and self-serve analytics practices across Pool 2 (Analytics Storage) and related VAICentral modules.
Requirements
Bachelor's degree in Statistics, Data Science, Computer Science, Information Systems, or a related field.
Minimum 2 years of experience as a Data Analyst / Analytics Engineer (or similar), with senior-level ownership of DWH or product analytics for enterprise platforms.
Strong SQL skills and hands-on experience with analytical databases/warehouses-especially columnar OLAP such as ClickHouse (or equivalent: BigQuery, Snowflake, Redshift).
Practical experience with dimensional modeling / DataMart design and transformation tools (dbt strongly preferred).
Experience building and governing BI dashboards (Apache Superset preferred; Power BI / Tableau / Looker also acceptable), including access control or RLS concepts.
Familiarity with ELT/CDC and orchestration concepts (Airbyte, Kafka, Airflow, or similar) and ability to partner with engineers on pipeline correctness and lineage.
Comfort working at the intersection of structured analytics and AI-assisted retrieval (RAG / knowledge bases); ability to evaluate NLQ or AI-generated analytical answers against ground-truth data is a plus.
Strong stakeholder communication: translate business questions into metrics, and present clear insights to both technical and non-technical audiences.
English reading/writing for technical documentation; Vietnamese communication for business stakeholder work is an advantage.
Benefits
Competitive salary commensurate with skills and experience.
Recognition and bonuses based on performance and work efficiency on a quarterly/annual basis and according to company regulations. Or can share by ratio profit on the Project (if needed).
Full benefits according to Vietnamese Labor Law (Social Insurance, Health Insurance, Unemployment Insurance).
Quarterly team building activities and annual company trips.