Analytics Engineer: PowerBI, Geospatial & Data Pipelines

RECRUIT EXPRESS PTE LTD

Singapore

On-site

SGD 90,000 - 150,000

Full time

3 days ago
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Job summary

RECRUIT EXPRESS PTE LTD is seeking a data solutions professional to design, develop, test, and deploy digital solutions end-to-end—from requirements gathering through to release and post-launch support.

You will build PowerBI dashboards and Databricks Genie workflows that automate reporting on campaign and sales performance, develop data pipelines (SQL/Python), and validate analytics with business users to ensure actionable insights for field execution.

Responsibilities

  • Design, develop, test, and deploy digital solutions end-to-end, from requirements gathering through to release and post-launch support.
  • Write clean, well-documented, and testable code; participate in code reviews and adhere to architecture and security standards.
  • Develop and deploy solutions including CRM, geospatial analytics, and BI applications used across markets.
  • Troubleshoot, debug, and resolve technical issues in production solutions, ensuring reliability and uptime.
  • Build and maintain PowerBI dashboards and Databricks Genie workflows that automate reporting on campaign/sales performance.
  • Develop location-based analytics use cases, including outlet mapping, territory design, catchment analysis, whitespace identification, and outlet prioritization.
  • Build and optimize data pipelines and queries (SQL/Python) that transform raw commercial data into analysis-ready datasets.
  • Validate analytics outputs with business users to ensure insights are accurate, relevant, and practical for field execution.

Job description

RECRUIT EXPRESS PTE LTD is seeking a data solutions professional to design, develop, test, and deploy digital solutions end-to-end—from requirements gathering through to release and post-launch support.

You will build PowerBI dashboards and Databricks Genie workflows that automate reporting on campaign and sales performance, develop data pipelines (SQL/Python), and validate analytics with business users to ensure actionable insights for field execution.

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