Hybrid QA & Data Analytics Analyst (Entry Level)

TE LLEVO; Singapore; Hybrid; SGD 42,000 - 62,000; Full time

Job summary

TE LLEVO is hiring for a full-time hybrid role in Singapore blending QA analysis, entry-level data analysis, and junior business analysis. You will assist in testing data workflows, validating reports, and documenting issues to drive continuous improvement of analytical solutions.

Day-to-day tasks include gathering business requirements, preparing simple data sets, performing basic checks, and helping design stakeholder-focused reports.

Qualifications

• Bachelor’s degree or diploma in Data Science, Statistics, Business, Information Systems, Computer Science, or related field.
• Strong analytical skills to interpret data and inform decisions.
• Foundational experience or education in data analytics and statistics.
• Understanding of data modeling for reporting and analysis.
• Clear, professional communication with stakeholders.
• Attention to detail in QA, including test case execution and defect documentation.
• Familiarity with Excel, Google Sheets, Tableau or Power BI.
• Ability to thrive in a hybrid environment and learn quickly.

Responsibilities

• Test data workflows and validate reports/dashboards.
• Prepare simple data sets and perform basic data checks.
• Support design of reports addressing stakeholder needs.
• Collaborate with cross-functional teams and contribute to test plans.
• Provide feedback on data quality and process efficiency.

Skills

Analytical skills

Data analytics basics

Data modeling concepts

Communication

QA attention to detail

Hybrid work adaptability

Fast learner

Career interest in QA/BA

Education

Bachelor’s degree or diploma in Data Science/Statistics/Business/IS/CS

Tools

Excel

Google Sheets

Tableau

Power BI

Job description

TE LLEVO is hiring for a full-time hybrid role in Singapore blending QA analysis, entry-level data analysis, and junior business analysis. You will assist in testing data workflows, validating reports, and documenting issues to drive continuous improvement of analytical solutions.

Day-to-day tasks include gathering business requirements, preparing simple data sets, performing basic checks, and helping design stakeholder-focused reports.