Risk & Data Analyst — AI-Driven Forecasting & BI

MHA Consultancy Services Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 120,000; Full time

Job summary

MHA Consultancy Services Sdn Bhd is seeking a data-driven analyst to join a team where Risk Analytics, AI, and BI converge to support smarter business decisions. You’ll work with real business data, build risk and cost forecasting models, create impactful dashboards, and gradually grow into a client-facing analytical role.

The role covers Risk & Market Analysis, Data Analytics & Forecasting with SQL & Python, BI dashboards (Power BI/Tableau), and AI-powered analytics, plus

Qualifications

• Diploma or Bachelor’s degree in data-related fields.
• 3–5 years of experience in Data Analytics, BI, Risk Analytics, or Market Research.
• Strong SQL and Python for data analysis and manipulation.
• Proficiency with Power BI, Power Query, or Tableau.
• Interest in AI-powered analytics tools and practical business applications.
• Strong analytical, communication, and presentation skills with a risk mindset.
• Senior candidates: experience leading projects and client engagement.

Responsibilities

• Risk & Market Analysis – analyze data to identify risks and ROI concerns.
• Data Analytics & Forecasting – use SQL & Python to develop forecasting models.
• BI & Dashboard – build Power BI/Tableau dashboards for decisions.
• AI-Powered Analytics – leverage AI tools for pattern recognition and efficiency.
• Client & Stakeholder Engagement – present insights to clients and leadership.
• Senior Leadership & Mentorship – lead initiatives and mentor junior analysts.

Skills

Data analytics

BI tooling

SQL

Python

Power BI

Tableau

AI analytics

Stakeholder engagement

Mentorship

Presentation skills

Education

Data Science/Statistics degree

Tools

Power BI

Power Query

Tableau

Job description

MHA Consultancy Services Sdn Bhd is seeking a data-driven analyst to join a team where Risk Analytics, AI, and BI converge to support smarter business decisions. You’ll work with real business data, build risk and cost forecasting models, create impactful dashboards, and gradually grow into a client-facing analytical role.

The role covers Risk & Market Analysis, Data Analytics & Forecasting with SQL & Python, BI dashboards (Power BI/Tableau), and AI-powered analytics, plus