Senior Data & Analytics Leader

Involve Asia Technologies Sdn Bhd

Kuala Lumpur

On-site

MYR 240,000 - 360,000

Full time

3 days ago
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Job summary

Involve Asia Technologies Sdn Bhd in Kuala Lumpur is seeking a Data & Analytics Lead to turn ambiguous business questions into clear priorities, lead rigorous analysis, and drive measurable outcomes. This hands-on leadership role combines strategic planning with practical work: writing SQL, reviewing analytics code and data models, and partnering with Data Engineering to build trusted data foundations.

The role offers room to scale the data function as the business evolves and requires strong

Qualifications

  • 7+ years of hands-on analytics, BI, data science, or related data role
  • 2+ years leading a team or cross-functional programmes
  • Strong SQL and Python for analysis, automation, and reproducible workflows
  • Experience with analytics data modeling and modern warehouses or data lakes
  • Familiarity with BI tools such as Tableau, Power BI, Looker or equivalents

Responsibilities

  • Connect data priorities to business value by framing problems and aligning on decisions
  • Own the analytics roadmap and backlog, prioritising impact, effort and urgency
  • Lead investigations into performance changes, customer behaviour, growth opportunities and bottlenecks using SQL/Python
  • Define KPIs and ownership, build reusable datasets, dashboards, and decision tools
  • Partner with Data Engineering to translate business needs into data models and pipelines
  • Coach analysts, plan capacity, and contribute to hiring and performance management

Skills

SQL
Python
Leadership
BI Tools

Tools

Tableau
Power BI
Looker
Airflow

Job description

Involve Asia Technologies Sdn Bhd in Kuala Lumpur is seeking a Data & Analytics Lead to turn ambiguous business questions into clear priorities, lead rigorous analysis, and drive measurable outcomes. This hands-on leadership role combines strategic planning with practical work: writing SQL, reviewing analytics code and data models, and partnering with Data Engineering to build trusted data foundations.

The role offers room to scale the data function as the business evolves and requires strong

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