Data Visualization & Analytics Specialist

BIPO SERVICE (SINGAPORE) PTE. LTD.

Singapore

On-site

SGD 70,000 - 95,000

Full time

3 days ago
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Job summary

BIPO Service (Singapore) Pte. Ltd. is seeking a data analyst to develop dashboards and visualizations for Xiaomi International Internet Business, enabling visibility into performance trends across markets.

You will automate data quality monitoring, support data pipelines, and analyze large datasets with SQL and Python to deliver actionable insights to product, operations, and engineering teams. The role emphasizes cross-functional collaboration and clear communication of findings to technical

Qualifications

  • Bachelor's degree or above in a quantitative/technical field.
  • Experience maintaining data processing pipelines and large datasets.
  • Strong SQL and Python skills; proficiency with data analysis tools.

Responsibilities

  • Develop data visualizations and dashboards to monitor performance across key markets.
  • Automate data quality monitoring and alerting across pipelines and reporting.
  • Support data processing pipelines and scheduling for timely data availability.
  • Analyze business data to identify trends, anomalies, and actionable insights.
  • Write SQL queries and Python scripts to process and analyze large datasets.
  • Build dashboards/reports using BI tools (Power BI, Quick BI).
  • Communicate analytical findings to technical and non-technical stakeholders.
  • Collaborate with product, operations, and engineering teams to define metrics.

Skills

SQL
Python
Data Visualization
Data Analysis
Cross-functional collaboration
MS Excel

Education

Bachelor's degree in Computer Science / Statistics / Data Science

Tools

Power BI
Quick BI

Job description

BIPO Service (Singapore) Pte. Ltd. is seeking a data analyst to develop dashboards and visualizations for Xiaomi International Internet Business, enabling visibility into performance trends across markets.

You will automate data quality monitoring, support data pipelines, and analyze large datasets with SQL and Python to deliver actionable insights to product, operations, and engineering teams. The role emphasizes cross-functional collaboration and clear communication of findings to technical

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