Ais
BI Engineer Specialist
Skills
6 months ago
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Important information
Contract type:
Permanent
Location:
Bangkok, Thailand
Work mode:
Onsite
Published on:
17 September 2026
What they need
Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.
We are looking for potential candidates who are eager to learn and grow to join our young talent team.
Job Posting Location
Bangkok
Job Summary
To support Project New Data Platform Modernization (new DE+DS Platform)
and Project Expand and Enhancement Enterprise data analytics on
- Sales Order
- AIS Cloud
- CPQ
- SMT
Job Description
Key Responsibilities
- Develop, maintain, and optimise dashboards, reports, and visual analytics using BI tools such as Tableau or equivalent
- Partner with business stakeholders to translate data needs into technical specifications and reporting logic
- Define and maintain standardised metrics and KPIs across domains (e.g., product, marketing, operations)
- Write efficient SQL queries and collaborate with data engineers on data models and semantic layers
- Enable and support self-service analytics by building curated datasets and reusable components
- Ensure data accuracy, consistency, and security in BI assets
Qualifications
- Bachelor’s degree in Information Technology, Computer Engineering, Computer Science, Business Analytics, or related field
- 3+ years of experience in BI/report development or analytics engineering, fresh graduate with strong potential will also be considered.
- Proficient in SQL and one or more BI tools (e.g., Tableau, Power BI, Looker, Superset)
- Familiarity with data modeling concepts (e.g., star/snowflake schema, dimensional modeling)
- Comfortable working with large datasets and cross-functional teams
- Strong attention to detail and a passion for turning data into actionable insights
Nice to Have
- Experience with modern data stacks (e.g., dbt, Airflow, cloud warehouses)
- Knowledge of version control tools (e.g., Git) and CI/CD concepts for BI assets
- Exposure to big data environments like Cloudera and Databricks
Recruiter
Supaporn Limsiritong (สุภาภรณ์ ลิมศิริธง)
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