G
Golden Agri-Resources (GAR)
AI Analytics Associate
Skills
Data AnalysisAIWorkday
1 month ago
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Important information
Contract type:
Permanent
Location:
Ho, Ghana
Work mode:
Onsite
Published on:
8 September 2026
What they need
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.
Required Qualification(s)
Responsibilities and Skills
Education
Language(s)
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