Data Analyst, R&D - Systems & Automation

MR.DIY; Seri Kembangan; On-site; MYR 60,000 - 90,000; Full time

Job summary

MR D.I.Y. is seeking a Data Analyst Executive (R&D - System & Optimization) to design and maintain in-house tools, and to write SQL queries and Python scripts for data processing and automation.

You will apply inventory planning logic to drive efficient operations and collaborate with cross-functional teams to ensure outputs meet business needs. The role requires strong Python/SQL skills, advanced Excel, and a proactive mindset to adopt new tools as business needs evolve.

Qualifications

• Strong proficiency in Python and SQL with real-world project experience.
• Advanced Excel skills for analyses and reporting.
• Strong analytical and problem-solving abilities with attention to detail.
• Proactive mindset to adopt new tools and responsibilities.
• Good applied math/quantitative reasoning for business problems.
• Understanding of inventory planning concepts.
• Experience with BI/reporting tools (PowerBI/Looker Studio) is an advantage.

Responsibilities

• Implement and maintain in-house tools and systems based on defined business requirements.
• Write, optimize, and maintain SQL queries and Python/pandas scripts to support system logic, data processing and automation.
• Apply inventory planning logic and best practices within system implementations to support efficient operations.
• Troubleshoot, debug and refine existing tools based on feedback from stakeholders across the department.
• Support data analysis tasks as needed, collaborating closely with cross-functional teams to ensure tools and outputs meet business needs.
• Take initiative in identifying opportunities to improve existing processes, tools, and workflows.

Skills

Python

SQL

Excel

Analytical skills

Proactive mindset

Quantitative skills

Inventory concepts

Tools

PyQt

PowerBI

Looker Studio

Job description

MR D.I.Y. is seeking a Data Analyst Executive (R&D - System & Optimization) to design and maintain in-house tools, and to write SQL queries and Python scripts for data processing and automation.

You will apply inventory planning logic to drive efficient operations and collaborate with cross-functional teams to ensure outputs meet business needs. The role requires strong Python/SQL skills, advanced Excel, and a proactive mindset to adopt new tools as business needs evolve.