Business Intelligence Engineer

2 weeks ago

Phaya Thai, Bangkok, Thailand Advanced Info Service Public Company Limited (AIS) Full time $30,000 - $60,000 per year

About the Role

We're looking for a detail-oriented and business-savvy BI Engineer to join our growing data team. In this role, you'll collaborate with stakeholders across the organization to build trusted, insightful, and scalable reporting solutions that drive data-informed decision-making.

As a BI Engineer, you will transform complex data into clear visual stories, standardize KPIs, and help scale our self-service analytics capabilities.

Key Responsibilities

  • Develop, maintain, and optimize 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 standardized 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

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