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Data Analytics Lead at MR DIY International - Seri Kembangan

MR DIY International
Seri Kembangan, Malaysia
Salary: Undisclosed

Role Summary

The Data Analytics Lead will drive the analytics agenda at MR DIY International, ensuring that business units have access to actionable insights. This role requires a strategic mindset and strong leadership skills to build a high-performing analytics team.

Job Description

The Data Analytics Lead at MR DIY International is responsible for transforming data into actionable insights that drive business decisions. This hands-on leadership role involves defining the analytics strategy, collaborating with Data Engineering and the Digital Transformation team, and scaling analytics functions across multiple countries and brands. The role encompasses business intelligence, reporting, advanced analytics, and self-service enablement to ensure timely and trusted insights for various stakeholders.

Key responsibilities include owning the analytics roadmap aligned with business objectives, managing the business intelligence ecosystem, leading advanced analytics initiatives, ensuring data quality and governance, and fostering data literacy across the organization. The ideal candidate will act as a bridge between business units and the data function, clearly communicating insights and managing stakeholder expectations.

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Job Requirements

Bachelor's / Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.

8 years of relevant experience in data analytics / business intelligence, with at least 3 years in a leadership capacity.

Strong proficiency with BI / visualization tools (e.g. Power BI, Tableau) and SQL; familiarity with cloud data platforms (e.g. AWS, Azure).

Proven track record of delivering analytics that influenced business decisions.

Excellent communication and stakeholder management skills.

Data Analytics Lead - Frequently Asked Questions

What is the salary for a Data Analytics Lead at MR DIY International in Seri Kembangan?

MR DIY International has not disclosed the salary for this role. Data Analytics Lead positions in Seri Kembangan typically pay RM1,700–RM5,000 per month, based on the 227 comparable vacancies currently listed on SuperJobs.

Where is this Data Analytics Lead job located?

This Data Analytics Lead position is based in Seri Kembangan, Malaysia. This role is fully on-site.

What qualifications do I need for this Data Analytics Lead role?

MR DIY International is looking for Bachelor's / Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.; 8 years of relevant experience in data analytics / business intelligence, with at least 3 years in a leadership capacity.; Strong proficiency with BI / visualization tools (e.g. Power BI, Tableau) and SQL; familiarity with cloud data platforms (e.g. AWS, Azure)..

How do I apply for this Data Analytics Lead job at MR DIY International?

Apply directly on SuperJobs — create a free profile, upload your CV once and submit. There is no agency fee and no charge to applicants. Applications close 2026-11-07.

Quick Info

Company

MR DIY International

Location

Seri Kembangan, Malaysia

Salary

Undisclosed

Skills Required

8 skills

Click to submit your application

Required Skills

Data AnalyticsBusiness IntelligenceSQLPower BITableauStakeholder ManagementCommunicationLeadership

Data Analytics Lead Salary at MR DIY International

MR DIY International has not disclosed the salary for this role. Data Analytics Lead positions in Seri Kembangan typically pay RM1,700–RM5,000 per month, based on the 227 comparable vacancies currently listed on SuperJobs.

How to Apply for This Data Analytics Lead Role

  1. Click Apply Now and sign in, or create a free SuperJobs profile. It takes about two minutes and there is no agency fee.
  2. Upload your CV once and answer any screening questions MR DIY International asks. Your profile is reused for every application after this one.
  3. Submit, then track the application and any employer replies from your dashboard. Applications close 2026-11-07, so apply early.

Application Tips

  • Ensure your resume highlights relevant skills and experience
  • Tailor your application to match the role requirements
  • Double-check all information before submitting
  • Submit your application as soon as possible to increase your chances

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