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AI Analytics Associate

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Onsite

AI Analytics Associate

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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