Data Visualization & Dashboards Analyst

BUSINESS EDGE PERSONNEL SERVICES PTE LTD; Singapore; On-site; SGD 38,000 - 40,000; Full time

Job summary

BUSINESS EDGE PERSONNEL SERVICES PTE LTD in Singapore (Maju Drive) is seeking a Data Analyst to create reports and dashboards supporting policy analysis and decision making through data-driven approaches.

The role focuses on automating reports where possible, data cleaning, and producing insights from datasets across operations. Candidates should have 2+ years in statistical analysis and data visualization and be proficient in Excel, Power BI, Tableau, or Qlik Sense.

Qualifications

• Bachelor's degree in IT/CS/Math/Analytics or closely related field.
• At least 2 years of experience in statistical analysis and data visualization.
• Proficiency in two or more of Excel, Power BI, Tableau, or Qlik Sense.

Responsibilities

• Develop reports and dashboards for volunteer management operations, board processes and monthly reporting.
• Collaborate with process owners to understand requirements and create routine and ad-hoc reports and dashboards.
• Acquire data from primary/secondary sources and analyze results using statistical techniques.
• Perform data cleaning/wrangling/mining to uncover underlying trends.
• Ensure compliance with data security and governance guidelines.
• Apply descriptive and diagnostic statistics to derive insights (e.g., regression).
• Develop interactive visualisation tools/dashboards for decision making.
• Define data principles and fields to ensure a robust data architecture with filtering as needed.

Skills

Statistical analysis

Data visualization

Education

Bachelor's degree in IT/CS/Math/Analytics

Tools

Power BI

Tableau

Qlik Sense

Excel

Job description

BUSINESS EDGE PERSONNEL SERVICES PTE LTD in Singapore (Maju Drive) is seeking a Data Analyst to create reports and dashboards supporting policy analysis and decision making through data-driven approaches.

The role focuses on automating reports where possible, data cleaning, and producing insights from datasets across operations. Candidates should have 2+ years in statistical analysis and data visualization and be proficient in Excel, Power BI, Tableau, or Qlik Sense.