AI Analytics Associate

Golden Agri-Resources (GAR); Kuala Lumpur; On-site; MYR 90,000 - 150,000; Full time

Job summary

Golden Agri-Resources (GAR) seeks a Business Analytics & Insight professional in Kuala Lumpur to develop and maintain dashboards, reports, and KPI monitoring solutions, delivering visibility into business performance. You will analyze data to identify root causes, trends, and opportunities, and translate business questions into analytical requirements.

You will collaborate with stakeholders across functions to drive data-driven decisions.

Responsibilities

• Develop and maintain dashboards, reports, and KPI monitoring solutions to provide visibility into business performance.
• Analyze data to identify root causes, patterns, and business improvement opportunities.
• Support business stakeholders in analyzing operational, financial, and commercial performance trends. Prepare analytical presentations and insights to support management decision making.
• Translate business questions into analytical requirements and meaningful metrics.
• Identify performance gaps, trends, risks, and opportunities through data analysis.
• Assist in standardizing KPI definitions and reporting frameworks across business functions.
• Work with stakeholders to define success metrics and measure business outcomes.
• Support data-driven problem solving initiatives across multiple business functions.
• Utilize AI and GenAI tools to enhance analysis, insight generation, and business productivity.
• Support development of predictive and prescriptive analytics use cases such as forecasting, anomaly detection, demand prediction, and business recommendations.
• Assist in evaluating and deploying AI-enabled solutions to improve business processes.
• Explore opportunities to automate repetitive reporting, analysis, and decision-support activities using AI technologies.
• Ensure data accuracy, consistency, and integrity across reporting and analytics solutions.
• Perform data validation and reconciliation checks to maintain trust in analytics outputs.
• Maintain documentation of KPIs, business rules, data definitions, and analytical models.
• Adhere to enterprise data governance, security, and privacy standards.
• Collaborate with business users, IT teams, and data engineers to deliver analytics solutions.
• Facilitate discussions to understand business challenges and analytical requirements.
• Support user adoption of dashboards, analytics products, and AI solutions.
• Act as a bridge between business and technical teams to translate business needs into scalable analytics solutions.

Job description

Job Description

Business Analytics & Insight Generation

• Develop and maintain dashboards, reports, and KPI monitoring solutions to provide visibility into business performance.
• Analyze data to identify root causes, patterns, and business improvement opportunities.
• Support business stakeholders in analyzing operational, financial, and commercial performance trends. Prepare analytical presentations and insights to support management decision making.
• Translate business questions into analytical requirements and meaningful metrics.
• Identify performance gaps, trends, risks, and opportunities through data analysis.
• Assist in standardizing KPI definitions and reporting frameworks across business functions.
• Work with stakeholders to define success metrics and measure business outcomes.
• Support data-driven problem solving initiatives across multiple business functions.

AI-Powered Analytics

• Utilize AI and GenAI tools to enhance analysis, insight generation, and business productivity.
• Support development of predictive and prescriptive analytics use cases such as forecasting, anomaly detection, demand prediction, and business recommendations.
• Assist in evaluating and deploying AI-enabled solutions to improve business processes.
• Explore opportunities to automate repetitive reporting, analysis, and decision-support activities using AI technologies.

Data Management & Governance

• Ensure data accuracy, consistency, and integrity across reporting and analytics solutions.
• Perform data validation and reconciliation checks to maintain trust in analytics outputs.
• Maintain documentation of KPIs, business rules, data definitions, and analytical models.
• Adhere to enterprise data governance, security, and privacy standards.

Stakeholder Collaboration

• Collaborate with business users, IT teams, and data engineers to deliver analytics solutions.
• Facilitate discussions to understand business challenges and analytical requirements.
• Support user adoption of dashboards, analytics products, and AI solutions.
• Act as a bridge between business and technical teams to translate business needs into scalable analytics solutions.