Analytics Engineer: Build Data Pipelines & Dashboards

QUESS SELECTION & SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

QUESS SELECTION & SERVICES PTE. LTD. is seeking a Data Analytics Engineer to develop and maintain analytics solutions that enable data-driven decision-making.

You will design analytics tools, build reliable data pipelines, manage data infrastructure, and deliver insights through advanced analytics and visualization. This role requires strong expertise in data engineering, statistical analysis, SQL, Python, and BI platforms, with the ability to work independently on complex analytical

Qualifications

• Bachelor's or Master’s in CS, DS, Engineering, IT, Statistics, Mathematics, or related field.
• 3–5 years of experience in data analytics, data engineering, BI, or related area.
• Experience designing, developing, and maintaining analytics solutions.
• Experience building and supporting data pipelines and analytics platforms.
• Experience with large, complex datasets and data governance is a plus.

Responsibilities

• Design, develop, troubleshoot, and enhance analytics tools, software, and reporting solutions.
• Develop analytical approaches to address complex business challenges.
• Maintain and improve analytics applications and programming tools.
• Evaluate datasets to identify trends, patterns, and opportunities.
• Lead or contribute to analytics projects and cross-functional initiatives.

Skills

Statistical analysis

Data visualization

Analytical thinking

Problem solving

Business acumen

Education

Bachelor's or Master's Degree in CS/DS/Engineering/IT/Statistics/Math

Tools

SQL

Python

BI platforms

Job description

QUESS SELECTION & SERVICES PTE. LTD. is seeking a Data Analytics Engineer to develop and maintain analytics solutions that enable data-driven decision-making.

You will design analytics tools, build reliable data pipelines, manage data infrastructure, and deliver insights through advanced analytics and visualization. This role requires strong expertise in data engineering, statistical analysis, SQL, Python, and BI platforms, with the ability to work independently on complex analytical