Data Mart Analyst — BI & Dashboards

Klook

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+
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Job summary

Klook is seeking a Data Mart Analyst in Singapore to join the Data team. The role focuses on developing ADS-layer data models, dashboards, and reports using SQL and modern BI tools, with strong emphasis on data validation and operational support.

Associate-level position requiring 2+ years in data analysis or BI, with hands-on experience in DBT, BigQuery, and BI platforms. Candidates will collaborate across Data Product Managers and maintain data product quality.

Qualifications

  • 2+ years of experience in data analysis, BI, or data development.
  • Expert proficiency in SQL, with excellent data processing, logical structuring, and performance tuning skills.
  • Hands-on experience in developing complex reports and dashboards using modern BI tools (Tableau, Power BI, Looker, QuickSight).
  • Nice-to-have: DBT and BigQuery experience; Agile teams and Jira/Confluence usage.

Responsibilities

  • Requirement Implementation & Data Development: Based on Data Mart design docs and business requirements, develop ADS-layer data models, reports, and dashboards using SQL and data analysis tools.
  • Data Validation & Quality Assurance: Perform thorough data validation to ensure accurate metrics and definitions.
  • Product Operations & User Support: Monitor, maintain, and optimize live data products; provide frontline user support and basic training.

Skills

SQL
Data analysis
BI tools

Tools

DBT
BigQuery
Tableau
Power BI
Looker
QuickSight
Jira
Confluence

Job description

Klook is seeking a Data Mart Analyst in Singapore to join the Data team. The role focuses on developing ADS-layer data models, dashboards, and reports using SQL and modern BI tools, with strong emphasis on data validation and operational support.

Associate-level position requiring 2+ years in data analysis or BI, with hands-on experience in DBT, BigQuery, and BI platforms. Candidates will collaborate across Data Product Managers and maintain data product quality.

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