Senior Data Analytics Manager: Insightful BI Dashboards

A*STAR - Agency for Science, Technology and Research

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+

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Job summary

A*STAR - Agency for Science, Technology and Research is seeking a Data Analyst to convert trusted enterprise data into meaningful insights, dashboards and recommendations for stakeholders across Finance, HR, Research Administration and Corporate Services.

You will explore Snowflake datasets, build high-quality Power BI dashboards, define KPI logic and explain analytical findings in business language. Strong collaboration with Data Engineers and governance teams is essential.

Qualifications

  • Bachelor’s degree or equivalent in a quantitative field.
  • 3–5 years of experience in data analytics, BI, reporting or performance analytics.
  • Hands-on experience building dashboards with enterprise datasets.
  • Ability to translate technical findings to plain business language.

Responsibilities

  • Analyse large datasets to identify trends, risks, opportunities and performance drivers.
  • Perform root-cause analysis to support business improvements and decisions.
  • Translate data findings into concise insights and actionable recommendations.
  • Develop reusable dashboards or data products to automate recurring requests.

Skills

SQL for analysis
Power BI dashboard development
Snowflake querying
Data visualisation
Excel and analytical modelling
Business requirements gathering
Python for analysis (adv)

Education

Bachelor’s degree in Data Analytics/Statistics/CS/Business Analytics/ Economics/ Mathematics

Tools

Power BI
Snowflake
Excel

Job description

A*STAR - Agency for Science, Technology and Research is seeking a Data Analyst to convert trusted enterprise data into meaningful insights, dashboards and recommendations for stakeholders across Finance, HR, Research Administration and Corporate Services.

You will explore Snowflake datasets, build high-quality Power BI dashboards, define KPI logic and explain analytical findings in business language. Strong collaboration with Data Engineers and governance teams is essential.

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