Data Analytics Engineer

MISTER MOBILE WOODLANDS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology service provider in Singapore is seeking a Data Analytics Engineer to enhance data and reporting capabilities. The role involves developing data pipelines, supporting Power BI dashboards, and building automation tasks. Ideal candidates have a degree in a relevant field, 3-5 years of experience, and proficiency in SQL and Python. Join a collaborative team that values innovation and personal growth.

Qualifications

• 3–5 years of experience in data design, data modeling, or analytics engineering roles.
• Strong knowledge of relational databases, especially MySQL.
• Ability to write and optimize SQL queries for data extraction, transformation, and reporting.

Responsibilities

• Develop, maintain, and optimize ETL/ELT data pipelines using Python and SQL.
• Support development and maintenance of Power BI dashboards including data cleaning.
• Collaborate with departments to identify workflows for automation.

Skills

Data analysis

SQL

Python

Power BI

Data modeling

Education

Bachelor’s degree in Data Analytics, Computer Science, Statistics, Engineering, or a related field

Tools

Power Automate

ETL tools

MySQL

Job description

About Us

With 14 years in the industry, Mister Mobile is Singapore’s trusted leader in mobile services. Our

vision is to empower people through technology and deliver exceptional service. We offer top

trade-in prices and rigorously inspected new and used devices. Our warm and friendly team

fosters a culture of care, collaboration, and innovation, ensuring every customer experience is

met with a personal touch.

As a market leader in the mobile service provider industry, we have obtained ISO certification,

CaseTrust accreditation, and a Carousell InstantBuy Award. We have also received more than

15,000+ positive reviews for our services.

As a fast-growing company, we cultivate a collaborative and inclusive workplace. We prioritize

employee development and uphold values such as innovation, customer satisfaction, and

teamwork while offering strong opportunities for career growth and mentorship.

Profile

We are seeking a detail-oriented and motivated Data Analytics Engineer to support our growing

data and reporting capabilities. This role involves working across data engineering, analytics,

and automation to ensure seamless data flow, effective reporting solutions, and process

efficiency. You will collaborate with engineers, analysts, and business stakeholders to build data

pipelines, support dashboards, and implement automation workflows.

Job Responsibilities

Data Engineering & System Integration

• Develop, maintain, and optimize ETL/ELT data pipelines using Python, SQL, and modern orchestration tools.
• Assist in organizing data mapping requirements for integrating internal and external systems.
• Participate in discussions on database structures, data transformation rules, and API interactions.
• Work with engineers to ensure seamless data flow and alignment with business logic.

Power BI Development & Documentation

• Assist analysts in collecting reporting requirements from stakeholders.
• Support the development and maintenance of Power BI dashboards, including data cleaning, formatting, and visual setup.
• Document dashboard structures, data sources, transformation logic, and version update procedures for audits and compliance.

Automation & Workflow Optimization

• Collaborate with various departments to identify manual workflows for automation.
• Assist in scoping and building automation tasks (e.g., scheduled report delivery, email alerts).
• Help build and test automation pipelines using Power Automate or basic Python scripting under supervision.

Collaboration & Support

• Communicate effectively with cross-functional teams to understand data needs and reporting
• goals.
• Support business users in interpreting data and improving data-driven decision-making.
• Ensure proper documentation, knowledge sharing, and support for data operations.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Engineering, or a related field.
• 3–5 years of experience in data design, data modeling, or analytics engineering roles.
• Strong knowledge of relational databases, especially MySQL.
• Ability to write and optimize SQL queries for data extraction, transformation, and reporting.
• Basic understanding of data warehousing, data modeling, and distributed systems.
• Hands-on experience or coursework in Power BI, Excel, and ETL processes.
• Interest in scripting languages (Python) and automation tools (Power Automate).
• Strong analytical, communication, and documentation skills.
• Eagerness to learn and thrive in a fast-paced, collaborative environment.